Outcome logistic models. Medical search. Frequent questions

Multivariate logistic regression models were created for each outcome variable. (cdc.gov)
Multivariate logistic regression was used to evaluate a multiplicative model of interaction. (uni-muenchen.de)
A univariate and multivariate logistic regression followed by a propensity-scored model (1:1) were performed. (lu.se)
Significant variables from the baseline sample were used to build multivariate logistic regression models. (cdc.gov)
A multivariate logistic regression model was used. (bvsalud.org)

these details were evaluated with respect to survival and neurological outcomes at midterm follow-up by univariate analysis and multivariable logistic regression. (nih.gov)
Logistic regression was used for multivariable analyses. (thieme-connect.de)
To identify factors associated with the development of Pulmonary embolism, a multivariable Binary Logistic Regres- sion model with sensitivity analysis was run. (who.int)
Using a multivariable Cox model with inverse probability weighting, we compared relevant outcomes between patients treated with early corticosteroids (before or within the first 48 h of ICU admission) with those who did not receive early corticosteroids (delayed group) or any corticosteroids at all (never group). (unav.edu)
Multivariable logistic regression modelling was performed to identify predictors of safe discharge. (bmj.com)

We showed that random forest model outperforms the standard multinomial logistic regression model in prediction accuracy. (usda.gov)
We compared the prediction accuracy of the tuned RF and multinomial logistic regression (MLR) models. (usda.gov)
6. Multinomial Logistic Regression for Nominal Category Outcomes. (routledge.com)

and (iii) while leveraging the disclosed data turned out to be reliable, neural network's predictive accuracy was higher than those reported using logistic regression and discriminant analysis. (springer.com)

A range of clinical and behavioural secondary outcomes were examined. (nature.com)
Treatment centers have specifical y between poor COVID-19 outcomes and either HIV status among designated isolation and treatment units staffed by clinicians hospitalized patients ( 3 - 5 ) or HIV-associated factors such as CD4 and nurses trained in COVID-19 clinical management. (cdc.gov)
The patients who received medical care for COVID-19 in these cen- effect of HIV infection on COVID-19 outcomes remains an ters during March-December 2020 and who provided verbal urgent question in sub-Saharan Africa, where many countries are consent to receive treatment were enrolled in the COVID-19 experiencing dual HIV and COVID-19 epidemics, and capacity clinical outcomes study. (cdc.gov)
The choice of an outcome measure is a major step in the design of clinical trials. (bmj.com)
The importance of incorporating patient perspectives in research into rheumatic diseases and defining outcomes that are comprehensive and influence clinical decision making was emphasised during the OMERACT 6 meeting. (bmj.com)
The purpose of this article is to describe clinical outcomes based on row and number of perforators to reevaluate flap and abdominal donor site morbidity. (thieme-connect.de)
We provide a framework for quantifying the impact of healthcare delivery factors and work capacity constraints on achieved benefit.CONCLUSION: An analysis of the sensitivity of the net benefit realized by a predictive model triggered clinical workflow to various healthcare delivery factors is necessary for making predictive models useful in practice. (stanford.edu)
Although the impact of demographic-, clinical- and hospital-level factors on outcomes following surgery have been examined, little is known about the effect of a patient's community of residence on surgical outcomes. (unboundmedicine.com)
According to the researchers, "improvements in risk prediction for in-hospital mortality with machine learning models were small and likely do not meet the threshold to be relevant for clinical practice. (acc.org)
They add that "for many clinical prediction tasks, the simpler approach - the generalized linear model - may be all that we need. (acc.org)
We investigated whether the use of ACEI/ARBs affects the clinical outcomes of primary breast cancer patients receiving taxane and anthracycline-based neoadjuvant chemotherapy. (jcancer.org)
Secondary outcomes included the variations in clinical practice including the preferred video laryngoscope, plans for difficult airway management, and personal protective equipment. (unav.edu)

Among patients who underwent HT, cirrhosis on pre-transplant imaging was associated with worse outcomes.CONCLUSIONS: Despite greater inotrope need and more severe liver disease at the time of listing, Fontan recipients undergoing HLT have post-transplant outcomes comparable with those of patients undergoing HT. (stanfordchildrens.org)
CONCLUSIONS: The DAF stent-graft showed a significant reduction of the distal endoleak rates and other specific outcomes of the distal LZ in patients with an adverse anatomy. (lu.se)
Conclusions: Although studies often use initial treatment outcomes to estimate treatment effects, this may violate the non-informative censoring assumption of the Cox proportional hazards model and result in biased treatment effect estimates. (cdc.gov)

Logistic regression analysis was performed to determine predictors of outcome and linear regression analysis to evaluate the association of age and outcome after 3 months. (nih.gov)

In the first part, methods of prescriptive analytics are analyzed, with the aim of allowing students to approach the use of models and translating business problems in terms of a corresponding mathematical model. (unibocconi.it)
Teaching and learning activities for this course are divided into face-to-face lectures during which management problems are explained and solution models through quantitative methods are proposed and discussed. (unibocconi.it)
We hypothesized that patients who underwent HLT have increased post-operative complications but superior survival outcomes compared with patients who underwent HT.METHODS: We performed a retrospective review of Fontan recipients who underwent HLT or HT at a single institution. (stanfordchildrens.org)
Methods: We derive and apply a logistic regression model to predict vital status at the end of the cohort period and modify the unobserved survival outcomes to better match the predicted survival experience of study subjects. (cdc.gov)
Death rates calculated using bridging via the NHIS models were similar to those calculated using other methods, except for the American Indian/Alaska Native group, which included a large proportion of multiple-race reporters. (cdc.gov)

This health statistics review looks at levels of health outcomes among the population of a specific geographic area and provides residents with information about numbers of outcomes in their area compared with expected numbers based on statewide data. (cdc.gov)
They will then be introduced to th science of demography, measures of disease frequency and sources of data for measuring health outcomes. (uaeu.ac.ae)
Many Member States continue to struggle with establishing and maintaining models for integrated service delivery that can deliver the comprehensive range of services, from promotion to palliation, required to achieve the desired health outcomes and to respond to their population's expectations. (who.int)

Elderly patients generally experience less favorable outcomes and higher mortality after acute stroke than younger patients. (nih.gov)
secondary outcomes were 180-day, 365-day, and all-cause mortality. (medpagetoday.com)
Logistic regression models were utilized to estimate the probability of postoperative complications, mortality, readmission, and expenditures. (unboundmedicine.com)
The researchers developed and validated three machine learning models to predict in-hospital mortality based on comorbidities, medical history, presentation characteristics and initial laboratory values. (acc.org)
Injury outcome data were also collected through record linkage to insurance claims, hospital discharge and mortality data and police reports (covering the period from time of recruitment till 30 June 2011). (bmj.com)
The outcome variable was experienced childhood mortality. (biomedcentral.com)
Of note, early use of moderate-to-high doses was associated with better outcomes than low dose regimens.ConclusionEarly use of corticosteroids in critically ill patients with COVID-19 is associated with lower mortality than no or delayed use, and fewer complications than delayed use. (unav.edu)

Advancing age was associated with a decline of favorable outcomes and survival after endovascular therapy. (nih.gov)
Survival outcomes in children with heart disease after use of either non-emergent extracorporeal membrane oxygenation (ECMO) or cardiopulmonary resuscitation (CPR) onto ECMO (ECPR) are comparable. (nih.gov)
Concerns remain regarding the impact of CPR duration on survival and neurological outcome. (nih.gov)
Despite comparable survival outcomes between ECPR and non-emergent ECMO in children with cardiac disease a significant association between CPR duration and outcome (survival and neurological) was noted in this population. (nih.gov)
We therefore applied a machine learning algorithm with a random forest model to predict survival outcomes in 42,257 qualified lung cancer patients. (usda.gov)
No differences in pCR and survival outcomes were seen between ACEI/ARB users and non-users among breast cancer patients receiving neoadjuvant chemotherapy. (jcancer.org)
9. Survival Analysis for Modeling the Occurrence of Singular Events Over Time. (routledge.com)
Background: Multidrug-resistant tuberculosis (MDR-TB) cohorts often lack long-term survival data, and are summarized instead by initial treatment outcomes. (cdc.gov)
When using Cox proportional hazards models to analyze these cohorts, this leads to censoring subjects at the time of the initial treatment outcome, instead of them providing full survival data. (cdc.gov)

The aim of this study was to analyze the influence of age on outcome and safety after endovascular therapy in a large cohort of patients aged between 20 and 90 years. (nih.gov)
A patient cohort with baseline variables as in the PARAMEDIC2 trial would have survived to hospital discharge in 7.7% and survived with favourable neurological outcome in 5.0% in an EMS and health care system as in Germany, compared with 3.2 and 2.2%, respectively, in the Epinephrine group of the trial. (lww.com)
Aims This paper aimed to assess the associations between response to the first follow-up survey and baseline characteristics and injury outcomes in a cohort of cyclists. (bmj.com)
To address this problem, we develop a tool to predict vital status at the end of a cohort period using the initial treatment outcome and assess its ability to reduce bias in treatment effect estimates. (cdc.gov)
We compare hazard ratio estimates for effect of an aggressive treatment regimen from Cox proportional hazards models using time to initial treatment outcome, predicted vital status, and true vital status at the end of the cohort period. (cdc.gov)

Study question: Do women with polycystic ovary syndrome (PCOS) have a greater risk of adverse pregnancy complications (gestational diabetes, preeclampsia, cesarean section, placental abnormalities) and neonatal outcomes (preterm birth, small for gestational age, prolonged delivery hospitalization) compared to women without a PCOS diagnosis and doe. (researchgate.net)
periodontitis and adverse pregnancy Ethics Committee of the College of outcomes such as preterm birth and Dentistry, University of Dammam Data collection tool eclampsia, and good oral health can re- (#EA2014003). (who.int)

Analyses of secondary outcomes indicated improved healthy eating and lower levels of risky drinking. (nature.com)
Secondary outcomes included birth weight, engagement, and self reported quit at four weeks. (bmj.com)
The secondary outcomes were: distal segment migration, wedge apposition and related complications. (lu.se)

We compared listing characteristics, post-operative complications, and post-transplant outcomes of Fontan recipients who underwent HLT with those of patients who underwent heart-only transplantation (HT). (stanfordchildrens.org)

Diagnostics of the linear regression model (multicollinearity, heteroscedasticity, residual analysis). (unibocconi.it)
A logistic regression model differs from linear regression model in two ways. (guru99.com)

Hierarchical logistic regression prediction models for severe maternal morbidity and severe newborn morbidity were developed using 2011 data and validated using 2012 data. (rand.org)
8. Modeling Explicit and Latent Hierarchical Structure in Data. (routledge.com)
Hierarchical logistic regression models were performed. (bvsalud.org)

Assisted Reproductive Technology or Infertility: What underlies adverse outcomes? (researchgate.net)

By processing the publicly available disclosure data, our self-study model may effectively assist in predicting IEQAS outcomes, and it can also be used as a diagnostic, prior to accreditation, by local HEIs in other nations to check their preparedness and likelihood of success within similar contexts. (springer.com)
I am working with cross-validation data (10-fold repeated 5 times) from a SVM-RFE model generated with the caret package. (stackoverflow.com)
We developed a modelling framework based on logistic regression to compare data from this randomized controlled trial and registry data from the German Resuscitation Registry (GRR), where we considered 26 019 patients treated with epinephrine for OHCA in the GRR. (lww.com)
In a communication to the European Parliament on 2 July 2014, the European Community communicated the need of training a generation of managers who know how to naturally use information derived from data and quantitative models to support decisions. (unibocconi.it)
Two in-class exercise sessions are held during which students complete both individual and group activities with their laptops, aimed at the described procedure (identifying a model, implementing data, solutions and sensitivity analysis). (unibocconi.it)
ACC's NCDR suite of registries are a robust source of data for researchers, and a critical component in continuing to help hospitals, practices and clinicians advance the quality of cardiovascular care and improve patient outcomes. (acc.org)
Here we combined computational simulations with analysis of in vivo 2-photon Ca 2+ imaging data from somatosensory cortex of Fmr1 knock-out (KO) mice, a model of Fragile-X Syndrome, to test the E/I imbalance theory. (biorxiv.org)
Let's use the adult data set to illustrate Logistic regression. (guru99.com)
Data was analyzed using Chi-square, logistic regression and Brass logit model. (biomedcentral.com)
We extracted data on program involvement, demographics, medical conditions, and outcomes from VA administrative databases in 4 Western states. (cdc.gov)
The study was con- Data were collected using a self-admin- duce the risk of these outcomes ( 1 - 5 ). (who.int)
The authors fitted logistic regression models to multiple-race data from the National Health Interview Survey (NHIS) for 1997-2000. (cdc.gov)

Both the severe maternal morbidity model and the severe newborn models exhibited acceptable levels of discrimination and calibration. (rand.org)
However, 10% of hospitals classified as average using the composite measure had below-average maternal outcomes, and 20% of hospitals classified as average using the composite measure had below-average newborn outcomes. (rand.org)
Maternal and newborn outcomes should be jointly reported because hospital rates of maternal morbidity and newborn morbidity are poorly correlated. (rand.org)
This can be done using a childbirth composite measure alongside separate measures of maternal and newborn outcomes. (rand.org)

Screening is important, because early detection may lead to better outcomes. (medscape.com)

Under this framework, not only counterfactual incomes can be estimated but also the hypothetical emergence of a counterfactual treatment can be modeled, because it depends on similar characteristics as the potential outcomes. (stata.com)
Logistic regression models examined the association between baseline characteristics and response rates to the follow-up survey. (bmj.com)

A logistic regression is a way to predict the probability of something happening. (salesforce.com)
Logistic regression is used to predict a class, i.e., a probability. (guru99.com)

In recent years, machine learning has been touted for its potential to improve risk prediction models. (acc.org)

Numerous studies have demonstrated that assisted reproductive technology (ART: defined here as including only in vitro fertilization and related technologies) is associated with increased adverse pregnancy, neonatal, and childhood developmental outcomes, even in singletons. (researchgate.net)
In this study, we explored effects of waterpipe smoking on pregnancy outcomes in rats. (who.int)
Because a sizable population of young, married women were supplied with this water in their homes, concern has been raised about the potential adverse effects of VOCs on pregnancy outcomes. (cdc.gov)
An association between VOC-contaminated drinking water and adverse late pregnancy outcomes is plausible, but further investigation is needed. (cdc.gov)

The primary outcome was an adverse event, defined as a modified Rankin Scale score of 2-6 at months 3, 6, and 12 after discharge. (hindawi.com)

I have created a few predictive models and I am in the process of evaluating them by looking at the ROC Curve and AUC. (stackoverflow.com)
Predictive models for a continuous response: linear regression. (unibocconi.it)
Predictive models for a categorical response: logistic regression. (unibocconi.it)
Further outcome studies will soon be underway and may in future contribute to adequately integrate all potential factors in more reliable predictive models. (bmj.com)

On the other hand, PSM can be used to reduce the imbalance within the dataset, which is an obvious source of model dependence. (stata.com)
To fit the models described in the paper, we would need a dataset that contains the game information joined with a binary indicator 1 if the team won and 0 if the team lost (in the paper draws were removed). (r-bloggers.com)

This kind of analysis is very common in academia, but after 10 years of doing analyses at hundreds of companies, in dozens of industries, I have never found a case where it the logistic model made sense for business operations to use directly. (salesforce.com)
Descriptive statistics and Cox proportional hazards model were used in the analyses. (jcancer.org)
It teaches how to do a wide range of statistical analyses in both R and in Python, ranging from simple hypothesis testing to advanced multivariate modelling. (routledge.com)

A logistic regression model was used to analyze the relationship between CRP and the functional outcome of LAA stroke. (hindawi.com)

The aim of this study was to test the hypothesis that work stress predicts sleep outcomes in a longitudinal design. (cdc.gov)

Poor neurological outcome was associated with longer duration of CPR (32 vs. 17.5 min, p = 0.03). (nih.gov)
If untreated, TBM may have a poor outcome and permanent neurological sequelae, thus requiring rapid diagnosis and treatment. (medscape.com)

Calibration slopes improved for the XGBoost and meta-classifier models, but not the neural network model, when compared with logistic regression and applied to a limited or expanded set of variables. (acc.org)

Given limited resources to either add capacity for inpatient ACP versus developing outpatient ACP capability, the latter is likely to provide more benefit to patient care.DISCUSSION: The benefit of using a predictive model for identifying patients for interventions is highly dependent on the capacity to execute the workflow triggered by the model. (stanford.edu)
We sought to characterize the association between patient county-level vulnerability with postoperative outcomes. (unboundmedicine.com)
Efforts to ensure equitable surgical outcomes need to focus on both patient-level, as well as community-specific factors. (unboundmedicine.com)

There has been much discussion of the results of the PARAMEDIC2 trial, as resuscitation outcome rates are considerably lower in this trial than in country-level registries on out-of-hospital cardiac arrest (OHCA). (lww.com)
And after running analysis, you should be able to judge how good your model is and interpret the results to actually be able to help your business. (udemy.com)
On the one hand, we use PSM to overcome that counterfactual situation when we want to compare the outcome of the treated observations with the results of the treated observations if they were not treated. (stata.com)

To best predict the outcomes, we mapped out a threefold discrete model combining logistic regression, discriminant analysis, and neural network. (springer.com)
The models were based on extreme gradient descent boosting (XGBoost), a neural network and a meta-classifier. (acc.org)
However, it is unclear whether this onedimensional model is rich enough to capture the multiple neural circuit alterations underlying brain disorders. (biorxiv.org)
These findings suggest that the basic E/I imbalance model should be updated to higher-dimensional models that can better capture the multidimensional computational functions of neural circuits. (biorxiv.org)

The primary outcome was 90-day all-cause deaths. (cdc.gov)
BMI at 12 months postpartum was the primary outcome. (nature.com)
There was no significant difference between groups on the primary outcome of BMI at 12 months. (nature.com)
That's the primary reason you shouldn't use logistic regression and why I urge customers to always predict a number that directly impacts how they will act on information, not information for the sake of information, but information that leads to ROI. (salesforce.com)
The primary efficacy outcome that we looked at was diuretic efficiency. (medscape.com)
Chae YK, Brown EN, Lei X, Melhem-Bertrandt A, Giordano SH, Litton JK, Hortobagyi GN, Gonzalez-Angulo AM, Chavez-MacGregor M. Use of ACE Inhibitors and Angiotensin Receptor Blockers and Primary Breast Cancer Outcomes. (jcancer.org)
The primary outcome was the preferred airway device for tracheal intubation. (unav.edu)
The primary outcomes were the distal endoleak and reintervention. (lu.se)
The objective of this study was to determine short- and long-term outcomes of systematically implementing a primary angioplasty program at two hospitals, one of which did not have a catheterization laboratory. (revespcardiol.org)
Such networks depend on linking up the diversity of public and private providers, with an appropriate coordination of and balance between primary care and other services that contribute to a population's health: hospitals, specialized programmes, prevention and promotion, supplies and logistics, as well as, in some models, social services. (who.int)

The efficacy of endovascular stroke therapy seems to be preserved also in the elderly and other factors than efficacy of endovascular therapy such as decreased plasticity are likely to explain the worse outcome with advancing age. (nih.gov)
Patients residing in vulnerable communities characterized by a high SVI generally had worse postoperative outcomes. (unboundmedicine.com)
Elevated CRP often indicates a worse prognosis in AIS patients, but it is not clear whether it can predict the patient's functional outcome in LAA patients. (hindawi.com)

High CRP level predicts poor functional outcome in LAA-type AIS patients, which provides a strong basis for clinicians to make treatment decisions for these patients. (hindawi.com)

The findings "illustrate" that the "generalized linear model is powerful, and only rarely is there a price - a substantial loss of performance - for choosing it," Matthew M. Engelhard, MD, PhD , et al. (acc.org)

BACKGROUND: To evaluate the distal landing zone (LZ) outcomes in adverse morphology after thoracic endovascular repair (TEVAR) with distal active fixation (DAF) stent-grafts compared with standard endografts. (lu.se)

I have three independent variable and a single binary outcome variable. (stackoverflow.com)
Logistic regression can predict a binary outcome accurately. (guru99.com)

Information on exposures and outcomes was primarily obtained from parental questionnaires. (uni-muenchen.de)

In order to find possible explanations for the discrepancies in outcome between PARAMEDIC2 and GRR, in a second (baseline plus treatment) model, we additionally included all available variables related to the interventions of the EMS personnel (type of airway management, type of vascular access, and time to administration of epinephrine). (lww.com)

Outcome differences between PARAMEDIC2 and the German Resusc. (lww.com)
We validated internal consistency between our model-based state-specific estimates and urban-rural estimates with BRFSS direct estimates using Spearman correlation coefficients and mean absolute differences. (cdc.gov)
Mean absolute differences for the 2 outcomes ranged from 0.79 to 1.03. (cdc.gov)

Here, we developed a statistical framework to investigate this gap and to examine possible sources for observed discrepancies in outcome rates. (lww.com)

In evaluating the symptomatic severity of osteoarthritis (OA) of the lower limbs, scientific groups such as the OMERACT (Outcome Measures in Rheumatology Group), 1 GREES (Group for the Respect of Ethics and Excellence in Science), 2 and OARSI (OsteoArthritis Research Society International) 3 have raised the importance of evaluating at least three dimensions: pain, patient's global assessment of disease status, and functional impairment. (bmj.com)

We aim to investigate the role of CRP in predicting the functional outcome of LAA-type AIS patients. (hindawi.com)

Separate logistic regression models provided crude and adjusted odds ratios and 95% confidence intervals. (confex.com)
Further, and separate from our regression model, we compared the effect of the claimed technology on the likelihood that a patent would be asserted in litigation. (lesi.org)

For safety, we had a blinded endpoint committee look at prespecified outcomes across diabetes, worsening renal function, across cardiovascular safety. (medscape.com)

For each of the three categories of exposed births defined later, MBW, the prevalence of SGA and preterm births, and the ratio of fetal deaths per singleton live births were compared with these outcomes in unexposed births. (cdc.gov)

The authors propose that the predictiveness and classification performance of a marker, displayed together in an integrated plot, provide a comprehensive and cohesive assessment of a risk marker or model. (eurekamag.com)

Similar to traditional classfii cation research, we estimate a simple binomial logistic model. (upenn.edu)
One approach is to randomly split the sample into two parts, and use one part to estimate the model and the other part to obtain the out-of-sample prediction error using the estimated model. (upenn.edu)
However, deceptive outcomes are rare events and single split may not provide enough variation to fit the model and to consistently estimate the out-of-sample prediction error. (upenn.edu)
11. Power Analysis to Estimate Required Sample Sizes for Inferential Modeling. (routledge.com)

A linear regression has a dependent variable (or outcome) that is continuous. (salesforce.com)
Logistic regression, alternatively, has a dependent variable with only a limited number of possible values. (salesforce.com)
In statistics , where classification is often done with logistic regression or a similar procedure, the properties of observations are termed explanatory variables (or independent variables , regressors, etc.), and the categories to be predicted are known as outcomes, which are considered to be possible values of the dependent variable . (wikipedia.org)
First of all, the logistic regression accepts only dichotomous (binary) input as a dependent variable (i.e., a vector of 0 and 1). (guru99.com)

The effect of HIV infection on COVID-19 outcomes is unclear. (cdc.gov)

Diseases35

Chemicals and Drugs4

Analytical, Diagnostic and Therapeutic Techniques and Equipment108

Psychiatry and Psychology21

Phenomena and Processes25

Disciplines and Occupations6

Anthropology, Education, Sociology and Social Phenomena13

Technology, Industry, Agriculture1

Humanities1

Information Science20

Named Groups9

Health Care126

Geographicals22

Multivariate logistic regression5

Multivariable5

Multinomial logistic regression3

Reported using logistic regr1

Clinical12

Conclusions3

Predictors1

Methods5

Health outcomes3

Mortality7

Survival9

Cohort5

Preterm birth2

Secondary3

Complications1

Linear regression model2

Hierarchical3

Adverse outcomes1

Data12

Newborn4

Better outcomes1

Characteristics2

Probability2

Prediction models1

Pregnancy4

Discharge1

Predictive models4

Dataset2

Analyses3

Analyze1

Hypothesis1

Neurological2

Calibration1

Patient3

Results3

Neural4

Primary10

Worse3

Predicts1

Illustrate1

Endovascular1

Binary outcome2

Exposures1

Interventions1

Differences3

Framework1

Osteoarthritis1

Functional1

Separate2

Cardiovascular1

Prevalence1

Assessment1

Estimate4

Dependent variable4

Unclear1