[HTML][HTML] Missing data in clinical research: a tutorial on multiple imputation
Missing data is a common occurrence in clinical research. Missing data occurs when the
value of the variables of interest are not measured or recorded for all subjects in the sample …
value of the variables of interest are not measured or recorded for all subjects in the sample …
A tutorial on multilevel survival analysis: methods, models and applications
PC Austin - International Statistical Review, 2017 - Wiley Online Library
Data that have a multilevel structure occur frequently across a range of disciplines, including
epidemiology, health services research, public health, education and sociology. We …
epidemiology, health services research, public health, education and sociology. We …
Intermediate and advanced topics in multilevel logistic regression analysis
Multilevel data occur frequently in health services, population and public health, and
epidemiologic research. In such research, binary outcomes are common. Multilevel logistic …
epidemiologic research. In such research, binary outcomes are common. Multilevel logistic …
Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): explanation and elaboration
KGM Moons, DG Altman, JB Reitsma… - Annals of internal …, 2015 - acpjournals.org
The TRIPOD (Transparent Reporting of a multivariable prediction model for Individual
Prognosis Or Diagnosis) Statement includes a 22-item checklist, which aims to improve the …
Prognosis Or Diagnosis) Statement includes a 22-item checklist, which aims to improve the …
[图书][B] Applications of prediction models
EW Steyerberg, EW Steyerberg - 2009 - Springer
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SpringerLink Account Menu Find a journal Publish with us Track your research Search Cart …
SpringerLink Account Menu Find a journal Publish with us Track your research Search Cart …
Full coverage for preventive medications after myocardial infarction
Background Adherence to medications that are prescribed after myocardial infarction is
poor. Eliminating out-of-pocket costs may increase adherence and improve outcomes …
poor. Eliminating out-of-pocket costs may increase adherence and improve outcomes …
Systematic review of comorbidity indices for administrative data
Background: Adjustment for comorbidities is common in performance benchmarking and risk
prediction. Despite the exponential upsurge in the number of articles citing or comparing …
prediction. Despite the exponential upsurge in the number of articles citing or comparing …
Prediction of risk of death and myocardial infarction in the six months after presentation with acute coronary syndrome: prospective multinational observational study …
KAA Fox, OH Dabbous, RJ Goldberg, KS Pieper… - bmj, 2006 - bmj.com
Objective To develop a clinical risk prediction tool for estimating the cumulative six month
risk of death and death or myocardial infarction to facilitate triage and management of …
risk of death and death or myocardial infarction to facilitate triage and management of …
Predicting mortality among patients hospitalized for heart failure: derivation and validation of a clinical model
ContextA predictive model of mortality in heart failure may be useful for clinicians to improve
communication with and care of hospitalized patients. ObjectivesTo identify predictors of …
communication with and care of hospitalized patients. ObjectivesTo identify predictors of …
Relationship between adherence to evidence-based pharmacotherapy and long-term mortality after acute myocardial infarction
JN Rasmussen, A Chong, DA Alter - Jama, 2007 - jamanetwork.com
ContextThe extent to which drug adherence may affect survival remains unclear, in part
because mortality differences may be attributable to “healthy adherer” behavioral attributes …
because mortality differences may be attributable to “healthy adherer” behavioral attributes …