The relationship between statistical power and predictor distribution in multilevel logistic regression: a simulation-based approach

Background Despite its popularity, issues concerning the estimation of power in multilevel logistic regression models are prevalent because of the complexity involved in its calculation (i.e., computer-simulation-based approaches). These issues are further compounded by the fact that the distributio...

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Bibliographic Details
Published in:	BMC medical research methodology Vol. 19; no. 1; pp. 97 - 20
Main Authors:	Olvera Astivia, Oscar L., Gadermann, Anne, Guhn, Martin
Format:	Journal Article
Language:	English
Published:	London BioMed Central 09.05.2019 BioMed Central Ltd Springer Nature B.V BMC
Subjects:	Analysis Computer simulation Computer Simulation - statistics & numerical data Confidence intervals Data analysis Data Interpretation, Statistical Estimates Generalized linear models Generic drugs Health Sciences Humans Hypotheses Logistic Models Logistic regression Medicine Medicine & Public Health Methods Models, Statistical Research Article Researchers Sample Size Software Statistical analysis Statistical hypothesis testing Statistical power Statistical Theory and Methods statistics and modelling Statistics for Life Sciences Theory of Medicine/Bioethics Canada
ISSN:	1471-2288, 1471-2288
Online Access:	Get full text
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