Predictive Value of Tests
Sensitivity and Specificity
Reproducibility of Results
Severity of Illness Index
European Continental Ancestry Group
Genetic Predisposition to Disease
Data Interpretation, Statistical
Body Mass Index
Statistics as Topic
Polymorphism, Single Nucleotide
Analysis of Variance
Analysis of the effect of conversion from open to closed surgical intensive care unit. (1/24374)OBJECTIVE: To compare the effect on clinical outcome of changing a surgical intensive care unit from an open to a closed unit. DESIGN: The study was carried out at a surgical intensive care unit in a large tertiary care hospital, which was changed on January 1, 1996, from an open unit, where private attending physicians contributed and controlled the care of their patients, to a closed unit, where patients' medical care was provided only by the surgical critical care team (ABS or ABA board-certified intensivists). A retrospective review was undertaken over 6 consecutive months in each system, encompassing 274 patients (125 in the open-unit period, 149 in the closed-unit period). Morbidity and mortality were compared between the two periods, along with length-of-stay (LOS) and number of consults obtained. A set of independent variables was also evaluated, including age, gender, APACHE III scores, the presence of preexisting medical conditions, the use of invasive monitoring (Swan-Ganz catheters, central and arterial lines), and the use of antibiotics, low-dose dopamine (LDD) for renal protection, vasopressors, TPN, and enteral feeding. RESULTS: Mortality (14.4% vs. 6.04%, p = 0.012) and the overall complication rate (55.84% vs. 44.14%, p = 0.002) were higher in the open-unit group versus the closed-unit group, respectively. The number of consults obtained was decreased (0.6 vs. 0.4 per patient, p = 0.036), and the rate of occurrence of renal failure was higher in the open-unit group (12.8% vs. 2.67%, p = 0.001). The mean age of the patients was similar in both groups (66.48 years vs. 66.40, p = 0.96). APACHE III scores were slightly higher in the open-unit group but did not reach statistical significance (39.02 vs. 36.16, p = 0.222). There were more men in the first group (63.2% vs. 51.3%). The use of Swan-Ganz catheters or central and arterial lines were identical, as was the use of antibiotics, TPN, and enteral feedings. The use of LDD was higher in the first group, but the LOS was identical. CONCLUSIONS: Conversion of a tertiary care surgical intensive care unit from an open to closed environment reduced dopamine usage and overall complication and mortality rates. These results support the concept that, when possible, patients in surgical intensive care units should be managed by board-certified intensivists in a closed environment. (+info)
Antiphospholipid, anti-beta 2-glycoprotein-I and anti-oxidized-low-density-lipoprotein antibodies in antiphospholipid syndrome. (2/24374)Antiphospholipid antibodies (aPL), anti-beta 2-glycoprotein I (anti-beta 2-GPI) and anti-oxidized-low-density lipoprotein (LDL) antibodies are all implicated in the pathogenesis of antiphospholipid syndrome. To investigate whether different autoantibodies or combinations thereof produced distinct effects related to their antigenic specificities, we examined the frequencies of antiphospholipid syndrome (APS)-related features in the presence of different antibodies [aPL, beta 2-GPI, anti-oxidized low density lipoprotein (LDL)] in 125 patients with APS. Median follow-up was 72 months: 58 patients were diagnosed as primary APS and 67 as APS plus systemic lupus erythematosus (SLE). Anticardiolipin antibodies (aCL), anti-beta 2-GPI and anti-oxidized LDL antibodies were determined by ELISA; lupus anticoagulant (LA) by standard coagulometric methods. Univariate analysis showed that patients positive for anti-beta 2-GPI had a higher risk of recurrent thrombotic events (OR = 3.64, 95% CI, p = 0.01) and pregnancy loss (OR = 2.99, 95% CI, p = 0.004). Patients positive for anti-oxidized LDL antibodies had a 2.24-fold increase in the risk of arterial thrombosis (2.24, 95% CI, p = 0.03) and lower risk of thrombocytopenia (OR = 0.41 95% CI, p = 0.04). Patients positive for aCL antibodies had a higher risk of pregnancy loss (OR = 4.62 95% CI, p = 0.001). When these data were tested by multivariate logistic regression, the association between anti-beta 2-GPI and pregnancy loss and the negative association between anti-oxidized LDL antibodies and thrombocytopenia disappeared. (+info)
Capture-recapture models including covariate effects. (3/24374)Capture-recapture methods are used to estimate the incidence of a disease, using a multiple-source registry. Usually, log-linear methods are used to estimate population size, assuming that not all sources of notification are dependent. Where there are categorical covariates, a stratified analysis can be performed. The multinomial logit model has occasionally been used. In this paper, the authors compare log-linear and logit models with and without covariates, and use simulated data to compare estimates from different models. The crude estimate of population size is biased when the sources are not independent. Analyses adjusting for covariates produce less biased estimates. In the absence of covariates, or where all covariates are categorical, the log-linear model and the logit model are equivalent. The log-linear model cannot include continuous variables. To minimize potential bias in estimating incidence, covariates should be included in the design and analysis of multiple-source disease registries. (+info)
Risk factors for injuries and other health problems sustained in a marathon. (4/24374)OBJECTIVES: To identify risk factors for injuries and other health problems occurring during or immediately after participation in a marathon. METHODS: A prospective cohort study was undertaken of participants in the 1993 Auckland Citibank marathon. Demographic data, information on running experience, training and injuries, and information on other lifestyle factors were obtained from participants before the race using an interviewer-administered questionnaire. Information on injuries and other health problems sustained during or immediately after the marathon were obtained by a self administered questionnaire. Logistic regression analyses were undertaken to identify significant risk factors for health problems. RESULTS: This study, one of only a few controlled epidemiological studies that have been undertaken of running injuries, has identified a number of risk factors for injuries and other health problems sustained in a marathon. Men were at increased risk of hamstring and calf problems, whereas women were at increased risk of hip problems. Participation in a marathon for the first time, participation in other sports, illness in the two weeks before the marathon, current use of medication, and drinking alcohol once a month or more, were associated with increased self reported risks of problems. While increased training seemed to increase the risk of front thigh and hamstring problems, it may decrease the risk of knee problems. There are significant but complex relations between age and risk of injury or health problem. CONCLUSIONS: This study has identified certain high risk subjects and risk factors for injuries and other health problems sustained in a marathon. In particular, subjects who have recently been unwell or are taking medication should weigh up carefully the pros and cons of participating. (+info)
Early mycological treatment failure in AIDS-associated cryptococcal meningitis. (5/24374)Cryptococcal meningitis causes significant morbidity and mortality in persons with AIDS. Of 236 AIDS patients treated with amphotericin B plus flucytosine, 29 (12%) died within 2 weeks and 62 (26%) died before 10 weeks. Just 129 (55%) of 236 patients were alive with negative cerebrospinal fluid (CSF) cultures at 10 weeks. Multivariate analyses identified that titer of cryptococcal antigen in CSF, serum albumin level, and CD4 cell count, together with dose of amphotericin B, had the strongest joint association with failure to achieve negative CSF cultures by day 14. Among patients with similar CSF cryptococcal antigen titers, CD4 cell counts, and serum albumin levels, the odds of failure at week 10 for those without negative CSF cultures by day 14 was five times that for those with negative CSF cultures by day 14 (odds ratio, 5.0; 95% confidence interval, 2.2-10.9). Prognosis is dismal for patients with AIDS-related cryptococcal meningitis. Multivariate analyses identified three components that, along with initial treatment, have the strongest joint association with early outcome. Clearly, more effective initial therapy and patient management strategies that address immune function and nutritional status are needed to improve outcomes of this disease. (+info)
The Sock Test for evaluating activity limitation in patients with musculoskeletal pain. (6/24374)BACKGROUND AND PURPOSE: Assessment within rehabilitation often must reflect patients' perceived functional problems and provide information on whether these problems are caused by impairments of the musculoskeletal system. Such capabilities were examined in a new functional test, the Sock Test, simulating the activity of putting on a sock. SUBJECTS AND METHODS: Intertester reliability was examined in 21 patients. Concurrent validity, responsiveness, and predictive validity were examined in a sample of 337 patients and in subgroups of this sample. RESULTS: Intertester reliability was acceptable. Sock Test scores were related to concurrent reports of activity limitation in dressing activities. Scores also reflected questionnaire-derived reports of problems in a broad range of activities of daily living and pain and were responsive to change over time. Increases in age and body mass index increased the likelihood of Sock Test scores indicating activity limitation. Pretest scores were predictive of perceived difficulties in dressing activities after 1 year. CONCLUSION AND DISCUSSION: Sock Test scores reflect perceived activity limitations and restrictions of the musculoskeletal system. (+info)
Modified cuspal relationships of mandibular molar teeth in children with Down's syndrome. (7/24374)A total of 50 permanent mandibular 1st molars of 26 children with Down's syndrome (DS) were examined from dental casts and 59 permanent mandibular 1st molars of normal children were examined from 33 individuals. The following measurements were performed on both right and left molars (teeth 46 and 36 respectively): (a) the intercusp distances (mb-db, mb-d, mb-dl, db-ml, db-d, db-dl, db-ml, d-dl, d-ml, dl-ml); (b) the db-mb-ml, mb-db-ml, mb-ml-db, d-mb-dl, mb-d-dl, mb-dl-d angles; (c) the area of the pentagon formed by connecting the cusp tips. All intercusp distances were significantly smaller in the DS group. Stepwise logistic regression, applied to all the intercusp distances, was used to design a multivariate probability model for DS and normals. A model based on 2 distances only, mb-dl and mb-db, proved sufficient to discriminate between the teeth of DS and the normal population. The model for tooth 36 for example was as follows: p(DS) = (e(30.6-5.6(mb-dl)+25(mb-db)))/(1 + e(30.6 5.6(mb-dl)+25(mb db))). A similar model for tooth 46 was also created, as well as a model which incorporated both teeth. With respect to the angles, significant differences between DS and normals were found in 3 out of the 6 angles which were measured: the d-mb-dl angle was smaller than in normals, the mb-d-dl angle was higher, and the mb-dl-d angle was smaller. The dl cusp was located closer to the centre of the tooth. The change in size occurs at an early stage, while the change in shape occurs in a later stage of tooth formation in the DS population. (+info)
Organizational and environmental factors associated with nursing home participation in managed care. (8/24374)OBJECTIVE: To develop and test a model, based on resource dependence theory, that identifies the organizational and environmental characteristics associated with nursing home participation in managed care. DATA SOURCES AND STUDY SETTING: Data for statistical analysis derived from a survey of Directors of Nursing in a sample of nursing homes in eight states (n = 308). These data were merged with data from the On-line Survey Certification and Reporting System, the Medicare Managed Care State/County Data File, and the 1995 Area Resource File. STUDY DESIGN: Since the dependent variable is dichotomous, the logistic procedure was used to fit the regression. The analysis was weighted using SUDAAN. FINDINGS: Participation in a provider network, higher proportions of resident care covered by Medicare, providing IV therapy, greater availability of RNs and physical therapists, and Medicare HMO market penetration are associated with a greater likelihood of having a managed care contract. CONCLUSION: As more Medicare recipients enroll in HMOs, nursing home involvement in managed care is likely to increase. Interorganizational linkages enhance the likelihood of managed care participation. Nursing homes interested in managed care should consider upgrading staffing and providing at least some subacute services. (+info)
Explanation: Genetic predisposition to disease is influenced by multiple factors, including the presence of inherited genetic mutations or variations, environmental factors, and lifestyle choices. The likelihood of developing a particular disease can be increased by inherited genetic mutations that affect the functioning of specific genes or biological pathways. For example, inherited mutations in the BRCA1 and BRCA2 genes increase the risk of developing breast and ovarian cancer.
The expression of genetic predisposition to disease can vary widely, and not all individuals with a genetic predisposition will develop the disease. Additionally, many factors can influence the likelihood of developing a particular disease, such as environmental exposures, lifestyle choices, and other health conditions.
Inheritance patterns: Genetic predisposition to disease can be inherited in an autosomal dominant, autosomal recessive, or multifactorial pattern, depending on the specific disease and the genetic mutations involved. Autosomal dominant inheritance means that a single copy of the mutated gene is enough to cause the disease, while autosomal recessive inheritance requires two copies of the mutated gene. Multifactorial inheritance involves multiple genes and environmental factors contributing to the development of the disease.
Examples of diseases with a known genetic predisposition:
1. Huntington's disease: An autosomal dominant disorder caused by an expansion of a CAG repeat in the Huntingtin gene, leading to progressive neurodegeneration and cognitive decline.
2. Cystic fibrosis: An autosomal recessive disorder caused by mutations in the CFTR gene, leading to respiratory and digestive problems.
3. BRCA1/2-related breast and ovarian cancer: An inherited increased risk of developing breast and ovarian cancer due to mutations in the BRCA1 or BRCA2 genes.
4. Sickle cell anemia: An autosomal recessive disorder caused by a point mutation in the HBB gene, leading to defective hemoglobin production and red blood cell sickling.
5. Type 1 diabetes: An autoimmune disease caused by a combination of genetic and environmental factors, including multiple genes in the HLA complex.
Understanding the genetic basis of disease can help with early detection, prevention, and treatment. For example, genetic testing can identify individuals who are at risk for certain diseases, allowing for earlier intervention and preventive measures. Additionally, understanding the genetic basis of a disease can inform the development of targeted therapies and personalized medicine."
There are several different types of obesity, including:
1. Central obesity: This type of obesity is characterized by excess fat around the waistline, which can increase the risk of health problems such as type 2 diabetes and cardiovascular disease.
2. Peripheral obesity: This type of obesity is characterized by excess fat in the hips, thighs, and arms.
3. Visceral obesity: This type of obesity is characterized by excess fat around the internal organs in the abdominal cavity.
4. Mixed obesity: This type of obesity is characterized by both central and peripheral obesity.
Obesity can be caused by a variety of factors, including genetics, lack of physical activity, poor diet, sleep deprivation, and certain medications. Treatment for obesity typically involves a combination of lifestyle changes, such as increased physical activity and a healthy diet, and in some cases, medication or surgery may be necessary to achieve weight loss.
Preventing obesity is important for overall health and well-being, and can be achieved through a variety of strategies, including:
1. Eating a healthy, balanced diet that is low in added sugars, saturated fats, and refined carbohydrates.
2. Engaging in regular physical activity, such as walking, jogging, or swimming.
3. Getting enough sleep each night.
4. Managing stress levels through relaxation techniques, such as meditation or deep breathing.
5. Avoiding excessive alcohol consumption and quitting smoking.
6. Monitoring weight and body mass index (BMI) on a regular basis to identify any changes or potential health risks.
7. Seeking professional help from a healthcare provider or registered dietitian for personalized guidance on weight management and healthy lifestyle choices.
HIV (human immunodeficiency virus) infection is a condition in which the body is infected with HIV, a type of retrovirus that attacks the body's immune system. HIV infection can lead to AIDS (acquired immunodeficiency syndrome), a condition in which the immune system is severely damaged and the body is unable to fight off infections and diseases.
There are several ways that HIV can be transmitted, including:
1. Sexual contact with an infected person
2. Sharing of needles or other drug paraphernalia with an infected person
3. Mother-to-child transmission during pregnancy, childbirth, or breastfeeding
4. Blood transfusions ( although this is rare in developed countries due to screening processes)
5. Organ transplantation (again, rare)
The symptoms of HIV infection can be mild at first and may not appear until several years after infection. These symptoms can include:
3. Swollen glands in the neck, armpits, and groin
5. Muscle aches and joint pain
6. Night sweats
8. Weight loss
If left untreated, HIV infection can progress to AIDS, which is a life-threatening condition that can cause a wide range of symptoms, including:
1. Opportunistic infections (such as pneumocystis pneumonia)
2. Cancer (such as Kaposi's sarcoma)
3. Wasting syndrome
4. Neurological problems (such as dementia and seizures)
HIV infection is diagnosed through a combination of blood tests and physical examination. Treatment typically involves antiretroviral therapy (ART), which is a combination of medications that work together to suppress the virus and slow the progression of the disease.
Prevention methods for HIV infection include:
1. Safe sex practices, such as using condoms and dental dams
2. Avoiding sharing needles or other drug-injecting equipment
3. Avoiding mother-to-child transmission during pregnancy, childbirth, or breastfeeding
4. Post-exposure prophylaxis (PEP), which is a short-term treatment that can prevent infection after potential exposure to the virus
5. Pre-exposure prophylaxis (PrEP), which is a daily medication that can prevent infection in people who are at high risk of being exposed to the virus.
It's important to note that HIV infection is manageable with proper treatment and care, and that people living with HIV can lead long and healthy lives. However, it's important to be aware of the risks and take steps to prevent transmission.
There are different types of Breast Neoplasms such as:
1. Fibroadenomas: These are benign tumors that are made up of glandular and fibrous tissues. They are usually small and round, with a smooth surface, and can be moved easily under the skin.
2. Cysts: These are fluid-filled sacs that can develop in both breast tissue and milk ducts. They are usually benign and can disappear on their own or be drained surgically.
3. Ductal Carcinoma In Situ (DCIS): This is a precancerous condition where abnormal cells grow inside the milk ducts. If left untreated, it can progress to invasive breast cancer.
4. Invasive Ductal Carcinoma (IDC): This is the most common type of breast cancer and starts in the milk ducts but grows out of them and invades surrounding tissue.
5. Invasive Lobular Carcinoma (ILC): It originates in the milk-producing glands (lobules) and grows out of them, invading nearby tissue.
Breast Neoplasms can cause various symptoms such as a lump or thickening in the breast or underarm area, skin changes like redness or dimpling, change in size or shape of one or both breasts, discharge from the nipple, and changes in the texture or color of the skin.
Treatment options for Breast Neoplasms may include surgery such as lumpectomy, mastectomy, or breast-conserving surgery, radiation therapy which uses high-energy beams to kill cancer cells, chemotherapy using drugs to kill cancer cells, targeted therapy which uses drugs or other substances to identify and attack cancer cells while minimizing harm to normal cells, hormone therapy, immunotherapy, and clinical trials.
It is important to note that not all Breast Neoplasms are cancerous; some are benign (non-cancerous) tumors that do not spread or grow.
There are two types of hypertension:
1. Primary Hypertension: This type of hypertension has no identifiable cause and is also known as essential hypertension. It accounts for about 90% of all cases of hypertension.
2. Secondary Hypertension: This type of hypertension is caused by an underlying medical condition or medication. It accounts for about 10% of all cases of hypertension.
Some common causes of secondary hypertension include:
* Kidney disease
* Adrenal gland disorders
* Hormonal imbalances
* Certain medications
* Sleep apnea
* Cocaine use
There are also several risk factors for hypertension, including:
* Age (the risk increases with age)
* Family history of hypertension
* Lack of exercise
* High sodium intake
* Low potassium intake
Hypertension is often asymptomatic, and it can cause damage to the blood vessels and organs over time. Some potential complications of hypertension include:
* Heart disease (e.g., heart attacks, heart failure)
* Kidney disease (e.g., chronic kidney disease, end-stage renal disease)
* Vision loss (e.g., retinopathy)
* Peripheral artery disease
Hypertension is typically diagnosed through blood pressure readings taken over a period of time. Treatment for hypertension may include lifestyle changes (e.g., diet, exercise, stress management), medications, or a combination of both. The goal of treatment is to reduce the risk of complications and improve quality of life.
Logistic model tree
Reverse logistics network modelling
Linear discriminant analysis
Piecewise linear function
Accelerated life testing
Nambury S. Raju
Malthusian growth model
Multinomial logistic regression
Concept of Stratification
Bridget Terry Long
Pierre François Verhulst
El Paso, Texas
Veterans benefits for post-traumatic stress disorder in the United States
Length of stay
Automated planning and scheduling
Port of Aalborg
1919 Motor Transport Corps convoy
United States Merchant Marine Academy
Volkswagen Chattanooga Assembly Plant
Para (Special Forces)
Andrey Melnichenko (industrialist)
Wil van der Aalst
National Museum of Brazil
1980 Andalusian autonomy initiative referendum
Isle of Wight Rifles
Sándor J. Kovács
Environmental effects of shipping
Logistic Sigmoid Market Model - Wolfram Demonstrations Project
Endogeneity in Logistic Regression Models - Volume 11, Number 3-March 2005 - Emerging Infectious Diseases journal - CDC
Coordinated Development of Logistics Development and Low-Carbon Environmental Economy Base on AHP-DEA Model
The One Parameter Logistic Model - Assessment Systems
Alternatives for logistic regression in cross-sectional studies: an empirical comparison of models that directly estimate the...
Preventing Chronic Disease | Metabolic Syndrome Among Adults in New York City, 2004 New York City Health and Nutrition...
How to split a dataset in logistic regression model - Moredatascientists
20ft Shipping Container NYK Logistics v1 3D Model
Methods to apply a 3-Parameter logistic model to wind turbine data
Penerapan model gompertz dan logistic pada pertumbuhan berat badan balita - Brawijaya Knowledge Garden
Comparing the diagnostic performance of ordinary, mixed, and lasso logistic regression models at identifying opioid and...
Non-COVID Response Logistics Modeling Tools and Reports | Population Health Sciences
Analysis of an arithmetic test by means of a logistic linear trait model
Frontiers | Race, Ethnic, and Sex Differences in Prevalence of and Trends in Hallucinogen Consumption Among Lifetime Users in...
IoT Middleware Architecture based on Ontologies to Model Logistic Process | Transactions on Engineering and Computing...
Misspecification of multimodal random-effect distributions in logistic mixed models for panel survey data : Research Bank
Type 2 diabetes prevalence, awareness, and risk factors in rural Mali: a cross-sectional study | Scientific Reports
60. model Renault Trucks T pro BC LOGISTICS s.r.o. | Motorsport-ing magazín
Using the Johns Hopkins Aggregated Diagnosis Groups (ADGs) to predict mortality in a general adult population cohort in Ontario...
Prediction of survival from resuscitation: a prognostic index derived from multivariate logistic model analysis - Tufts PACE...
Fulfillment, cross-dock, dropshipping-what is the difference between the logistics models in eCommerce? | Omnipack
On an Excel sheet, create a model of the Logistic Growth curve. Be sure that you have: ... - Coursework Assignment
To Determine the Prognostic Factors in Esophageal Cancer using Log-Logistic Regression Model in Iran - Iranian Journal of...
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Noncommunicable disease, clinical course and COVID-19 prognosis: results based on I-core registry
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compare a 5-point discrete mixture on the log-logistic shape parameter with the variable scale model to downweight aberrant...
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Stratified logistic regression1
- Hypotheses were tested using gender stratified logistic regression models. (cdc.gov)
- The dataset is relatively small, and the authors use stepwise logistic regression models to detect small differences. (cdc.gov)
- We used ordinary and mixed logistic regression models as well as lasso logistic regression models with and without controlling for autocorrelation at the state level to train our models on half the dataset and test their predictive performance on the remainder. (bvsalud.org)
- Because stratified analyses suggested that the effect of BMI on arthritis differed by sex, the model was applied separately to men and women. (cdc.gov)
- Logistic mixed models for longitudinal binary data typically assume normally distributed random effects, which may be too restrictive if an underlying subpopulation structure exists. (edu.au)
- Models with robust variance estimators in Cox and Poisson regressions and variance corrected by the scale parameter in Poisson regression were also evaluated. (biomedcentral.com)
- Cross-sectional studies with binary outcomes analyzed by logistic regression are frequent in the epidemiological literature. (biomedcentral.com)
- Cox or Poisson regression with robust variance and log-binomial regression provide correct estimates and are a better alternative for the analysis of cross-sectional studies with binary outcomes than logistic regression, since the prevalence ratio is more interpretable and easier to communicate to non-specialists than the odds ratio. (biomedcentral.com)
- Often the outcomes are binary, and logistic regression is used for the analysis. (biomedcentral.com)
- Does it always help to adjust for misclassification of a binary outcome in logistic regression? (cdc.gov)
- Following the recent works [9, 17, 30, 31, 37], we investigate the problem of optimising the total population size for logistic diﬀusive models with respect to resources distributions. (deusto.eus)
- In this paper we explore alternatives for modeling data of such studies with techniques that directly estimate the prevalence ratio. (biomedcentral.com)
- We have, therefore, that an important proportion of such studies end up reporting odds ratios, the effect measure yielded by logistic regression, rather than prevalence or incidence ratios. (biomedcentral.com)
- To examine the relative importance of these factors, CDC used data from the 1989-1991 National Health Interview Survey (NHIS) and a multivariate model to estimate the independent effect of each factor on self-reported arthritis. (cdc.gov)
- nificance of individual coefficients in the en, bone mineral status is much more Daily routine calibration was done model was assessed by the Hosmer- closely associated with total body fat using the standard phantom supplied Lemeshow test for goodness of fit and  and in a multivariate model total fat by the manufacturer. (who.int)
- The OPLM combines mathematical properties of the Rasch model with the flexibility of the Two Parameter Logistic Model (2PL or IRT 2PL). (assess.com)
- In order to reach this aim, a group of operations required to solve the items of the test were proposed, the dimensionality was evaluated, and the goodness of fit of items to both the Rasch and the LLTM models was studied. (bvsalud.org)
- In the high risk area of Gonbad in Iran, world age-standardised rates are more than 200 per 100,000 and the male/female ratio is reported as 0.8:1.0.This study aimed to assess the risk factors and demographic factors influencing survival of patients with esophageal cancer in north of Iran using weibull and log-logistic regression models. (ac.ir)
- parametric and weibull models were employed to analyze the data. (ac.ir)
- Here we compare a Weibull with single-component and two-component log-logistic models. (gradeboosts.com)
- Handling the huge quantities of heterogeneous IoT components and logistic items is an important challenge. (scholarpublishing.org)
- The research results show that the system coupling degree in Hainan Province is about 0.9, indicating that the logistics industry and the low-carbon economic subsystem have a relatively high degree of coupling development. (hindawi.com)
- Additionally, the correlation between the dependent variables can create significant multicollinearity, which violates the assumptions of standard regression models and results in inefficient estimators. (cdc.gov)
- The results of this study clearly show that the presence of bloody diarrhea is an endogenous variable in the model showing predictors of hemolytic uremic syndrome, in that the diarrhea is shown to be predicted by, and therefore strongly correlated with, several other variables used to predict hemolytic uremic syndrome. (cdc.gov)
- The underlying problem in the study is the theoretical specifications for the model, in which genotypes, strains, and symptoms are mixed, despite reasonable expectations that differences in 1 level may predict differences in another. (cdc.gov)
- The master thesis intends to search theoretical references for performance evaluation model applicable to Logistic Operators. (ausjal.org)
- The market for a new good grows according to a logistic curve if the number of buyers adopting it at a given time follows a normal distribution. (wolfram.com)
- The distribution of buyers is modeled by the Bell curve. (wolfram.com)
- In those cases where one year of data is available, a logistic function may be fitted and used as an accurate model for such curves, with the advantage that it describes the power curve by means of a very simple mathematical expression. (uvigo.es)
- A logistic regression model consisting of age, sex, and indicator variables for 28 of the 32 ADG categories had excellent discrimination: the c-statistic (equivalent to the area under the receiver operating characteristic curve) was 0.917 in both derivation and validation samples. (nih.gov)
- On an Excel sheet, create a model of the Logistic Growth curve. (courseworkassignment.com)
- https://courseworkassignment.com/wp-content/uploads/2021/07/LOGO-300x75.png 0 0 Dennis https://courseworkassignment.com/wp-content/uploads/2021/07/LOGO-300x75.png Dennis 2021-08-04 19:07:51 2021-08-04 19:07:51 On an Excel sheet, create a model of the Logistic Growth curve. (courseworkassignment.com)
- This architecture focuses mainly on a semantic model that uses ontologies for sensor data representation by describing the main entities involved in the logistic scenario. (scholarpublishing.org)
- Ordinary and mixed logistic regression models were also substantially more parsimonious than their lasso equivalents while still allowing for the epidemiological interpretation of model coefficients. (bvsalud.org)
- Conceptual modelling is one of the most challenging parts in simulation modelling where more knowledge fields meet each other. (jdst.eu)
- The main goal of the paper is to present the process of creating a conceptual model as an important step in simulation model development. (jdst.eu)
- The point of the paper is to emphasize the translation of the conceptual description of the real process given from the subject matter expert, towards a formalized conceptual model that is understandable to the simulation modeller and computer programmer. (jdst.eu)
- These mathematical models include item characteristics also known as the item parameters: discrimination ( a ), difficulty ( b ), and pseudo-guessing ( c ). (assess.com)
- Since the IRT One Parameter Logistic Model allows estimating item parameters that are "examinee-free", then it is possible to estimate item parameters during their piloting to use them later. (assess.com)
- All models had relatively high predictive parameters except for positive predictive values , due to the rare nature of calls concerning opioid and cannabinoid poisonings . (bvsalud.org)
- Besides, a data filtering recommendation and two different assessment procedures for the error provided by the model are proposed. (uvigo.es)
- Comparing the diagnostic performance of ordinary, mixed, and lasso logistic regression models at identifying opioid and cannabinoid poisoning in U.S. dogs using pet demographic and clinical data reported to an animal poison control center (2005-2014). (bvsalud.org)
- As a result, models derived from APCC data that examine the predictability of opioid and cannabinoid dog poisonings using pet demographic and health disorder information may help veterinarians or APCC staff more reliably identify these toxicants when examining or responding to a call concerning a dog poisoned by an unknown toxicant. (bvsalud.org)
- Demographic and clinical data of 359 patients with confirmed diagnosis of esophageal cancer from Babol Cancer registry utilized for our model. (ac.ir)
- Model pertumbuhan yang umumnya mengikuti bentuk sigmoid diantaranya model Gompertz dan Logistic yang memuat tiga parameter. (ub.ac.id)
- Tujuan penelitian adalah menerapkan dan membandingkan model pertumbuhan Gompertz dan Logistic dalam menjelaskan pola pertumbuhan serta mengetahui kecepatan maksimum pertumbuhan berat badan balita yang dibagi dalam tiga kelompok umur. (ub.ac.id)
- Model for determining virulence factors for hemolytic uremic syndrome. (cdc.gov)
- The fitting of epidemiologically informed statistical models has been useful for identifying factors associated with various health conditions and as predictive tools. (bvsalud.org)
- Ghadimi M, Mahmoodi M, Mohammad K, Zeraati H, Hosseini M, Fotouhi A. To Determine the Prognostic Factors in Esophageal Cancer using Log-Logistic Regression Model in Iran. (ac.ir)
- All scans were performed by regression model was done for detec- more body fat have lower rates of bone trained physicians and analysed by the tion of the independent risk factors resorption (an independent predictor researcher. (who.int)
- Les facteurs de risque Independent factors associated with admission indépendant associés hyperglycemia were assessed using logistic regression analysis. (who.int)
- More than half of critically des patients avec AVC en phase aiguë présentent ill patients exhibit admission hyperglycemia with age, severity of stroke and known diabetes as its main associated principaux facteurs de risque a risk factors. (who.int)
- This mutual independence forms the basis of the IRT models that provides objectivity in measurement. (assess.com)
- However, bloody diarrhea is not the only endogenous variable in their models, and extensive modeling would be necessary to isolate the independent effects of the various predictor variables. (cdc.gov)
- Calculated by using a generalized linear mixed-effects logistic regression model. (cdc.gov)
- A logistic eficial effects on bone . (who.int)
- An often overlooked problem in building statistical models is that of endogeneity, a term arising from econometric analysis, in which the value of one independent variable is dependent on the value of other predictor variables. (cdc.gov)
- Statistical models which describe the relationship between a qualitative dependent variable (that is, one which can take only certain discrete values, such as the presence or absence of a disease) and an independent variable. (bvsalud.org)
- As can be seen in the diagram above, in the case of having your own warehouse, the logistic process is quite complex, and what is more, coordinating it is the store owner's responsibility. (omnipack.com)
- The necessity of companies to focus on its key activities and also to increase its competitiveness, together with the desire of the logistic operators in supplying services of greater added value, has worked as a catalyst of the logistics outsourcing process. (ausjal.org)
- It is of great significance to learn from foreign experience [ 16 ], explore my country's logistics development in a low-carbon environment economy, strengthen international strategic low-carbon logistics planning, formulate specific low-carbon logistics policies and regulations, and standardize low-carbon logistics goals. (hindawi.com)
- Being logistic a factor of great impact in the competitiveness of the companies, the decision for contracting a Logistic Operator has, as main reason, the strategic decision of concentrating on its key activities, leaving the logistic services to specialists. (ausjal.org)
- The One Parameter Logistic Model (OPLM or 1PL or IRT 1PL) is one of the three main dichotomous models in the Item Response Theory (IRT) framework. (assess.com)
- Furthermore, the model showed very good calibration. (nih.gov)
- Today, we'd like to analyze the most popular eCommerce models: Fulfillment, cross-dock, dropshipping, as well as our own warehouse and suggest which one to choose. (omnipack.com)
- This paper presents an illustration of the integration of cognitive psychology and psychometric models to determine sources of item difficulty in an Arithmetic Test (AT), constructed by the authors, by means of its analysis with the LLTM. (bvsalud.org)
- Because the strain is in part determined by the presence of these toxins, including both strain and genotype in the model means that the standard errors for variables for the Shiga-containing strains and bloody diarrhea symptom are likely to be too high, and hence the significance levels (p values) obtained from the regression models are higher than the true probability because of a type I error. (cdc.gov)
- The authors note that they excluded variables from the final model if the significance in initial models for those variables was less than an α level (p value) of 0.05. (cdc.gov)
- undertaken from July 15th, 2017 to March 15th, 2018.The multicentrique de cohorte prospective a inclus des Glasgow Coma Scale helped to determine the severety of the patients consécutifs admis en phase aiguë d AVC, disease at admission. (who.int)
- IRT employs mathematical models assuming that the probability that an examinee would answer the question correctly depends on their ability and item characteristics. (assess.com)
- Cox/Poisson regression with robust variance, and log-binomial regression performed equally well when the model was correctly specified. (biomedcentral.com)
- Logistic regression models using age, sex, and the John Hopkins ADGs were able to accurately predict 1-year mortality in a general ambulatory population of subjects. (nih.gov)
- 29. Christensen R. Log-linear models and logistic regression. (bvsalud.org)
- Although epidemiologically informed logistic regression models may require substantial knowledge of the disease systems being investigated, they had the same predictive abilities as lasso logistic regression models. (bvsalud.org)
- 12) J. Leukel et S. Kirn, « A supply chain management approach to logistics ontologies in information systems », in International Conference on Business Information Systems, 2008, p. 95-105. (scholarpublishing.org)
- It is well known that in logistic regression, where the outcome is measured with error, a biased estimate of the association between the outcome and a risk factor may result if no proper adjustment is made. (cdc.gov)
- 17) S. Hachem, « Service-Oriented middleware for the large-scale mobile Internet of Things », Université de Versailles-Saint Quentin en Yvelines, 2014. (scholarpublishing.org)
- The 4PL´s basic objective is to provide an efficient logistic integrated solution, managing all logistics activities and service providers that should be necessary. (ausjal.org)
- RÉSUMÉ Pour vérifier l'hypothèse selon laquelle les graisses localisées et non le poids corporel total ont un effet protecteur sur la densité minérale osseuse des femmes ménopausées, une étude transversale a été menée entre mars 2008 et juin 2009 sur 303 femmes ménopausées en bonne santé consultant le service de soins de l'ostéoporose à des fins de dépistage. (who.int)
- However, this model requires extremely efficient operations. (omnipack.com)
- Unidimensionality assumption is the most common, but the most complex and restrictive assumption for all IRT models that sometimes cannot be met. (assess.com)
- From exemplary mass-vaccination stations in Angola, to complex cold-chain logistics in Rwanda and model communications to boost trust in vaccines in Ghana, the World Health Organization (WHO) is documenting key lessons emerging from Africa's rollout of COVID-19 vaccines. (who.int)
- 13) X. K. Zhang et T. Tian, « Logistics domain ontology model and its application », in Advanced Materials Research, 2010, vol. 108, p. 1403-1408. (scholarpublishing.org)
- 2.On a new sheet in Excel, using your population model, perform an analysis of the possible error in your 'r' value. (courseworkassignment.com)
- Logistics industry is more important in the development of regional economy, which affects the speed and efficiency of regional economy [ 2 ]. (hindawi.com)
- The logistics industry has been greatly developed after the emergence of e-commerce [ 10 ], and the logistics industry has become an important pillar industry for regional economic development. (hindawi.com)
- Nowadays, the logistics industry not only plays an important pillar role in the regional economy but also becomes a restrictive element of the speed and efficiency of the regional economy. (hindawi.com)
- nbsp;The starting point is a description of a real entity given by subject matter expert, and output is one consistent, algorithm-like, conceptual model. (jdst.eu)
- Estos modelos son de aplicación común en epidemiología para estimar el riesgo de un individuo (probabilidad de desarrollo de una enfermedad) en función de un determinando factor de riesgo. (bvsalud.org)
- Firstly, this paper discusses the development level of logistics industry in Hainan Province from five aspects: energy consumption, carbon emission, carbon productivity, economic benefit index, and carbon emission efficiency. (hindawi.com)
- On this basis, this paper puts forward the related promotion strategies for the coordinated development of logistics development and logistics industry in Hainan. (hindawi.com)
- We present in this paper a new Internet of Things middleware architecture for logistic transport applications. (scholarpublishing.org)
- and 2) compare the predictive performance of these models to analogous lasso logistic regression models. (bvsalud.org)
- At the end, it is intended to present a model that better fits to measure Logistic Operators performance, in the thermoplastic resin industry segment. (ausjal.org)
- Finally, the coordinated development of logistics development and low-carbon environmental economy in Hainan Province is analyzed. (hindawi.com)
- The low-carbon environmental economic model [ 4 ] is a win-win model for the coordinated development of ecological environment and economic environment. (hindawi.com)
- Such development is characterized on the figure of the Fourth Party Logistics (4PL). (ausjal.org)
- Logistic regression was used for the analysis of 37 (34%) and 10 (22%) of these studies, respectively. (biomedcentral.com)
- is defined as the multiple correlation coefficient for the model X 1 = f(X 2 ,X 3 ,…), and all X i are independent variables in the larger model ( 3 , 4 ). (cdc.gov)
- For example, the simultaneous equations approach, such as that outlined by Greene ( 7 ), would have used predicted values of bloody diarrhea from the first stage of the model as instrumental variables for the actual value in the model for hemolytic uremic syndrome. (cdc.gov)
- Logistic applications are a perfect domain of IoT as it adds new functionalities in identification, traceability, storage and real-time tracking of good in the supply chain. (scholarpublishing.org)