Ordinal logistic regressionAnalysesMultivariableSocio-demographicSocioeconomicBinaryEstimateLatent classMETHODSPaper analyzesDataMultinomialSociodemographicPoissonDifferencesStatisticalSurvivalCategoricalOddsSeverityOutcomesVariantsAnalysisLinearRiskMarital statusRESULTSRatiosVariablesPredictSentimentCognitiveYearsAssessAssociationAssociationsApproachFactorsStudyTobaccoResearchDetermineMultimorbidityCharacteristicsEffectsTimeProgramHighScoreAchieveVariablePatientsControlIndustry
Ordinal logistic regression2
Analyses8
- Logistic regression and multiple correspondence analyses were used to explore the relationships among multidomain lifestyles, chronic diseases, and dementia. (frontiersin.org)
- Multiple logistic regression models were employed for statistical analyses. (cdc.gov)
- In clear language, Prism presents an extensive library of analyses from common to highly specific- t tests, one-, two- and three-way ANOVA , linear and nonlinear regression , dose-response curves, binary logistic regression, survival analysis , principal component analysis, and much more. (graphpad.com)
- second, the estimated m is used for log- F -penalized logistic regression analyses of all variants using data augmentation with standard software. (karger.com)
- Following the recommendations of Aiken and West (1991) , we performed hierarchical multiple regression analyses (HMR) for the dependent variables of pro-Black attitude, anti-Black attitude, and intergroup solidarity by using IBM SPSS version 28 (see Table 3). (researchgate.net)
- In a community sample of 249 Asian Americans, hierarchical multiple regression analyses revealed that the ideological variables of internalized racism and model minority myth were associated with greater anti-Black attitudes. (researchgate.net)
- Multiple organizations, such as the Korea National Health and Nutrition Examination Survey (KNHANES), the Community Health Survey (CHS), the Korea Health Panel Survey, and the Korean Welfare Panel Study, have performed secondary data analyses of "unmet healthcare needs" to determine the healthcare status in South Korea. (biomedcentral.com)
- Adjusted analyses showed similar protective effects of multiple-dose treatment against CAAs (OR: 0.67, 95% CI: 0.51-0.90) and treatment failure (OR: 0.39, 95% CI: 0.33-0.46). (cdc.gov)
Multivariable3
- We used multiple logistic regression models to estimate multivariable odds ratios (ORs) and 95% CIs comparing different dietary intake levels of calcium and vitamin D. (nih.gov)
- We used multivariable log-binomial regression models to estimate risk ratios (RRs) and population attributable risk (PAR) percentages with 95% CIs for associations between chronic hypertension and several obstetric and neonatal outcomes, selected based on prior evidence and pathologic pathways. (stanford.edu)
- Cross-sectional relationships were assessed by correlation and multivariable linear regression (adjusted for age, sex, HbA1c) models. (cdc.gov)
Socio-demographic2
- Multiple logistic regression was used to determine socio-demographic predictors of self-reported multimorbidity. (biomedcentral.com)
- Binary logistic regression was used to control confounding effects of socio-demographic characteristics to draw relatively reliable conclusions. (nature.com)
Socioeconomic3
- To analyze whether socioeconomic and health conditions during childhood are associated with mortality during old age. (scielosp.org)
- Socioeconomic differences are measured with an ordered logistic regression model that predicts severity and comorbidity. (aahd.us)
- Modeling was performed using multilevel logistic regression of socioeconomic variables and ages at weighing. (bvsalud.org)
Binary2
- Increasingly, logistic regression methods for genetic association studies of binary phenotypes must be able to accommodate data sparsity, which arises from unbalanced case-control ratios and/or rare genetic variants. (karger.com)
- Association between independent and dependent variables was analyzed using binary logistic regression model. (who.int)
Estimate2
- We used logistic regression to estimate associations between no use of tobacco in the previous 30 days (30-day quit) at 7-month follow-up and demographic characteristics, health conditions, tobacco use, and cessation strategies. (cdc.gov)
- This research follows on the work of Sipple (2002) and Bielecki (2003) and further explores the possibilities of using statistical regression to accurately estimate the dollar value associated with risk and uncertainty early in a program's life cycle. (afit.edu)
Latent class1
- Multinomial logistic regression models tested differences in latent class memberships by sexual identity. (umd.edu)
METHODS5
- METHODS: We analyzed the cross-sectional data from the Taxi Drivers' Health Study. (cdc.gov)
- METHODS: The reported incidence of VBDs such as malaria, dengue, Chikungunya, Japanese encephalitis, and kala-azar in India during the years 2015-2019 was analyzed by fitting Poisson and negative binomial (NB) models for each VBDs separately. (bvsalud.org)
- METHODS: We analyzed data from 119,437 adolescents from 19 states who participated in the 2015 Youth Risk Behavior Survey. (umd.edu)
- Results show that the two-step regression methodology offers a significant advantage over traditional methods by removing the data points that do not incur cost growth. (afit.edu)
- METHODS: Using data from the 22nd, 23(rd) , and 24th Japanese nationwide KD surveys (2011-2016), we identified KD patients who did not have CAAs at first presentation and who were treated with either pulse or multiple-dose corticosteroids as part of their initial treatment. (cdc.gov)
Paper analyzes2
- This paper analyzes China's efforts in first three months of this pandemic disaster. (mdpi.com)
- At the same time, this paper analyzes the phenomenon of color adaptation and provides a method of color appearance matching through modeling to achieve color appearance matching under variable observation conditions. (hindawi.com)
Data16
- To determine if an association between occupation and CHM score exists, CDC analyzed data from the 2013 Behavioral Risk Factor Surveillance System (BRFSS) industry and occupation module, which was implemented in 21 states. (cdc.gov)
- Focus your efforts on analyzing the most relevant data. (graphpad.com)
- We analyzed cross-sectional nationally representative data from the World Health Organisaion Study on Global Ageing and Adult Health (WHO-SAGE), conducted in India during 2007. (biomedcentral.com)
- Questionnaire data from 110 caregivers of preschool children were analyzed. (thieme-connect.com)
- The model can predict the trajectory data of the unknown category and obtain one of the given categories. (hindawi.com)
- If you plan to analyze cross-sectional or longitudinal data and believe that there are meaningful subgroups of individuals characterized by the intersection of multiple characteristics, this seminar is for you. (statisticalhorizons.com)
- We analyzed self-reported data from 1323 mothers who participated in the Infant Feeding Practice Study II. (aap.org)
- Thanks to a sentiment model, humans do not need to invest energy into collecting and sorting data. (vizrefra.com)
- You can analyze volumes of data in a short span. (vizrefra.com)
- For the logistic regression portion of the research, the author produced a seven-variable model that accurately predicted 72 percent of the randomly selected validation data. (afit.edu)
- The data were analyzed using descriptive statistics and frequency distribution. (bvsalud.org)
- We analyzed data from 186,064 women with a recent live birth from 32 states and New York City from the 2004-2008 Pregnancy Risk Assessment Monitoring System (PRAMS), a population-based survey of postpartum women. (cdc.gov)
- We analyzed data from the Centers for Disease Control and Prevention (CDC) Pregnancy Risk Assessment Monitoring System (PRAMS) during 2004-2008. (cdc.gov)
- 2023. Data from all hospitalized patients with culture-confirmed infection were analyzed. (who.int)
- SPSS version 26.0 was used to analyze the data. (who.int)
- Data were analyzed using the Statistical Package for the Social Sciences, version 20. (who.int)
Multinomial1
- Such multiple-category categorical variables are often analyzed using a multinomial distribution, which counts the frequency of each possible combination of numbers of occurrences of the various categories. (wikipedia.org)
Sociodemographic1
- We then compared the percentages of mothers who indicated that each reason was important in their decision to stop breastfeeding among various weaning ages and used multiple logistic regression models to examine sociodemographic differences in the most frequently cited reasons for stopping breastfeeding. (aap.org)
Poisson1
- The statistical analysis was performed based on Poisson regression models, taking into account the time variation of risk observed. (scielosp.org)
Differences1
- The PPAR alpha-humanized mouse: a model to investigate species differences in liver toxicity mediated by PPAR alpha. (who.int)
Statistical2
- The identity of a particular word (e.g., in a language model): One of V possible choices, for a vocabulary of size V. For ease in statistical processing, categorical variables may be assigned numeric indices, e.g. 1 through K for a K-way categorical variable (i.e. a variable that can express exactly K possible values). (wikipedia.org)
- In recent years, the use of statistical regression has proven to be successful in predicting the relationships associated with cost growth. (afit.edu)
Survival1
- survival was estimated using the Kaplan-Meier method, log-rank test, and Cox proportional hazards models. (esmo.org)
Categorical1
- It can be viewed as a special kind of structural equation modeling in which the latent variables are categorical rather than continuous. (statisticalhorizons.com)
Odds2
- Odds ratios were estimated using regression models and 95% confidence intervals. (bvsalud.org)
- Multivariate logistic regression was performed to predict the odds of developing hypothyroidism. (medscape.com)
Severity2
- Future population research should use multiple-item scales for four distinct areas of functional limitation, and a summary that takes into account both severity and comorbidity. (aahd.us)
- The severity and duration of hypothyroidism in infants with frequent exposure to excess iodine from multiple sources has not been well-characterized. (medscape.com)
Outcomes4
- Careless responding could be detected through the inclusion of bogus items in military surveys which would allow researchers to analyze how careless responses may impact outcomes of interest. (health.mil)
- Other topics include model identification, model selection, model interpretation, multiple-groups LCA, measurement invariance across groups, and LCA with covariates and distal outcomes. (statisticalhorizons.com)
- While this simplifies the infrastructure by putting the onus of defining the input and output of the model on the model author, it makes it hard to reason about the individual features and their influence on the outcomes. (truera.com)
- CONCLUSIONS: Multiple-dose corticosteroid combination treatment resulted in substantially improved outcomes in KD patients compared to pulse treatment. (cdc.gov)
Variants1
- Alternative splicing of this gene results in multiple transcript variants. (cancerindex.org)
Analysis8
- Automatically add multiple pairwise comparisons to your analysis with a single click. (graphpad.com)
- Trajectory segmentation refers to segmenting the trajectory at important turning points by MDL value or DP algorithm and dividing a trajectory into multiple trajectory segments for analysis and mining. (hindawi.com)
- Group movement pattern analysis is to analyze the movement state of the group and extract its behavior pattern through the information of the position of each member in the group changing over time, so as to comprehensively evaluate the group behavior pattern and action effect. (hindawi.com)
- Regression analysis often treats category membership with one or more quantitative dummy variables. (wikipedia.org)
- Furthermore, the model internals ishidden in this representation, which precludes a white-box analysis of the model, which is often computationally more efficient and for certain models provide deeper model analytics. (truera.com)
- You might not always get a perfect result from a sentiment analysis model, but that doesn't mean we abandon the solution. (vizrefra.com)
- Linear regression analysis verified that DMV score was linearly related to global cognition, memory, attention, and executive function after adjusting for cerebrovascular risk factors. (biomedcentral.com)
- Logistic regression analysis was done to determine the strength of association between risk factors and HBV or HCV infection. (biomedcentral.com)
Linear2
- In multiple linear and logistic regression models, we estimated the associations between DHA and AA status in infancy and scores on the ASQ-3 and the NEPSY II subtests. (uib.no)
- Multiple linear regression model and multiple logistic regression model were used to assess the association of Hb level and anemia with pregnant women's characteristics. (biomedcentral.com)
Risk4
- The associations were adjusted for other risk factors by conditional logistic regression. (scielo.br)
- This report analyzes the relationship among Viagra, Club Drugs and HIV sexual risk behavior in drug using men with a sample diverse in sexual orientation and demographic scope. (nih.gov)
- CONCLUSION: Compared with their heterosexual peers, gay/lesbian and bisexual adolescents-especially females-are at heightened risk of engaging in multiple types of polysubstance use. (umd.edu)
- For patients who may be at elevated risk of treatment failure or CAA, use of multiple-dose corticosteroids in conjunction with IVIG is likely to provide considerable clinical benefit. (cdc.gov)
Marital status2
- In the adjusted multiple logistic regression model, race and marital status were associated with incorrect answers to bogus item questions after controlling for all other covariates. (health.mil)
- In an adjusted multiple logistic regression model, race (Black) and marital status (other) were associated with bogus item passage. (health.mil)
RESULTS3
- Results of this trial evaluate the PA intervention program in people with multiple NCDs in a real-life scenario. (biomedcentral.com)
- Different corticosteroid regimens (single-day high dose pulse vs multiple lower doses) may contribute to the discrepant results of prior studies. (cdc.gov)
- RESULTS: There were 782 KD patients who received pulse corticosteroid treatment and 4,817 who received multiple dose treatment. (cdc.gov)
Ratios1
- We analyzed sentiment, likes or retweet to followers ratios, and the posts coming from the casual users to find pieces of news that could affect the discourse. (who.int)
Variables1
- However, this association lost significance when the variables acquired during adulthood were added to the model. (scielosp.org)
Predict3
- Based on the chromatic adaptation transformation, a chromatic appearance model is given, which can predict the corresponding color and also predict the chromatic appearance properties of color stimuli under given observation conditions. (hindawi.com)
- Specifically for Python, any object exposing the `predict` API as defined above can be served as a model. (truera.com)
- This study sought to predict cost growth in major Department of Defense (DoD) acquisition programs using logistic and multiple regression. (afit.edu)
Sentiment1
- Negations can cause problems for sentiment analyzing mechanisms. (vizrefra.com)
Cognitive2
- Executive functions (EFs) refer to multiple interrelated cognitive skills required for purposeful and goal-directed behavior. (thieme-connect.com)
- Our study aimed to assess the relationship between DMV and overall cognitive impairment as well as multiple cognitive domains in outpatients. (biomedcentral.com)
Years2
Assess1
- A two part model was used to assess the relationship between number of NCDs and health care utilization including OOPE. (biomedcentral.com)
Association2
- Additionally, higher quality of general contact buffered the negative association between internalized model minority myth and intergroup solidarity. (researchgate.net)
- Multiple logistic regression models were constructed along with chi-square tests of association and some t-tests. (nih.gov)
Associations1
- Using multiple logistic regression models, we analyzed the associations between factors that influence unmet healthcare needs and participants' subgroups. (biomedcentral.com)
Approach1
- Hence this approach does not allow generic deeper model analytics . (truera.com)
Factors4
- MultiPill-Exercise is based on the bio-psycho-social health model, considering a person-oriented perspective in light of given individual characteristics and context factors. (biomedcentral.com)
- The purpose of this study was to analyze factors related to unmet healthcare needs among South Korean adults. (biomedcentral.com)
- In the overall sample and the subsets of heterosexual, MSM, younger and older men, predictive models all identified club or designer drugs as significant co-factors in the use of Viagra. (nih.gov)
- The University of Washington will develop stochastic models for radiation carcinogenesis to identify temporal factors and dose-rate effects. (cdc.gov)
Study4
- We study penalized logistic regression using a class of log- F priors indexed by a shrinkage parameter m to shrink the biased MLE toward zero. (karger.com)
- The models provided support for multiple hypotheses for both the adoption and early adoption decisions of study hospitals. (ndltd.org)
- The study analyzes programs during the Engineering and Manufacturing Development phase in the Research and Development, Test and Evaluation (RDT&E) phase of acquisition. (afit.edu)
- In addition to the multiple myeloma study at the K25 facility, Oak Ridge cohorts will be included in the chemical laboratory worker study and the leukemia case control. (cdc.gov)
Tobacco1
Research1
- The evaluation of the effectiveness, efficiency and safety of PA programs in patients suffering from multiple NCDs and the feasibility of the implementation within the health care service remain open research questions. (biomedcentral.com)
Determine1
- The author first used logistic regression to determine whether or not cost growth would occur in a program and, if so, continued with multiple regression to determine to what extent it would occur. (afit.edu)
Multimorbidity1
- Multimorbidity has not received much attention from policy-makers so far [ 3 ], but the rapid increase of costs and number of people with chronic conditions has intensified the effort on the European and National level to conceptualize and evaluate models that challenge the ever-increasing demands of multimorbidity. (biomedcentral.com)
Characteristics1
- With the popularization of electronic devices with global positioning system functions, the behavior characteristics and laws of individuals or groups can be analyzed by collecting the location information of moving objects. (hindawi.com)
Effects1
- Ordered logistic regression models measure the effects of functional limitations on disability and societal limitation. (aahd.us)
Time1
Program1
- To summarize a 25-year history of the Model Spinal Cord Injury Program and the coexistent National Spinal Cord Injury Database and provide the status of the Database with a discussion of the strengths and weaknesses. (aahd.us)
High1
- Ordinal values are assigned to survey items in the four functional areas and analyzed to produce scales of high reliability. (aahd.us)
Score1
- GEP score was derived from an 18-gene signature measured using extracted tumor RNA analyzed by NanoString nCounter platform. (esmo.org)
Achieve1
- Achieve model analytics performance equivalent to native integration. (truera.com)
Variable1
- For multiple regression, a six-variable model was produced that accurately predicted the amount of cost growth incurred for 91 percent of the programs that incurred cost growth. (afit.edu)
Patients2
- In Germany no guidelines have been developed that focus on patients with multiple chronic non-communicable diseases (NCDs). (biomedcentral.com)
- Given modifications to AFX in late 2014, patients who received the AFX device were categorized into two groups: the early AFX group (n=942) and late AFX group (n=1350) and compared with patients who received the other devices, using propensity matched Cox models. (bmj.com)
Control1
- The subjects analyzed were 36 phenotypically healthy newborn babies, who were born 12 months ( n = 22) and 18 months ( n = 14) after environmental contamination, and 25 newborns in 1998 as a control group. (go.jp)
Industry2
- We first looked at popular approaches and frameworks already used in the industry for model execution. (truera.com)
- Tweets coming from industry were analyzed manually. (who.int)