Mediation analysis with a time-to-event outcome: a review of use and reporting in healthcare research

Background Mediation analysis tests whether the relationship between two variables is explained by a third intermediate variable. We sought to describe the usage and reporting of mediation analysis with time-to-event outcomes in published healthcare research. Methods A systematic search of Medline,...

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Veröffentlicht in:	BMC medical research methodology Jg. 18; H. 1; S. 118 - 12
Hauptverfasser:	Lapointe-Shaw, Lauren, Bouck, Zachary, Howell, Nicholas A., Lange, Theis, Orchanian-Cheff, Ani, Austin, Peter C., Ivers, Noah M., Redelmeier, Donald A., Bell, Chaim M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 29.10.2018 BioMed Central Ltd Springer Nature B.V BMC
Schlagworte:	Blindness Counterfactuals Data analysis Data Interpretation, Statistical Delivery of Health Care - methods Delivery of Health Care - statistics & numerical data Effect Modifier, Epidemiologic Epidemiology Event history analysis Health Sciences Health Services Research - methods Health Services Research - statistics & numerical data Humans Indirect effect Mediating effects (Research) Mediation Mediation analysis, Survival, Time-to-event, Methodology Medical research Medicine Medicine & Public Health Medicine, Experimental Methods Mortality Outcome and process assessment (Health Care) Outcome Assessment (Health Care) - methods Outcome Assessment (Health Care) - statistics & numerical data Pain Proportional Hazards Models Reporting Research Article Statistical Theory and Methods statistics and modelling Statistics for Life Sciences Survival Analysis Systematic review Theory of Medicine/Bioethics Time Factors Variables Visual impairment Mediation analysis, Survival, Time-to-event, Methodology Indirect effect Counterfactuals Reporting Mediation
ISSN:	1471-2288, 1471-2288
Online-Zugang:	Volltext
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