Methods for significance testing of categorical covariates in logistic regression models after multiple imputation: power and applicability analysis

Methods for significance testing of categorical covariates in logistic regression models after multiple imputation: power and applicability analysis

Abstract Background Multiple imputation is a recommended method to handle missing data. For significance testing after multiple imputation, Rubin’s Rules (RR) are easily applied to pool parameter estimates. In a logistic regression model, to consider whether a categorical covariate with more than tw...

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Bibliographic Details
Main Authors: Iris Eekhout, Mark A. van de Wiel, Martijn W. Heymans
Format: Article
Language:English
Published: BMC 2017-08-01
Series:BMC Medical Research Methodology
Subjects:
Multiple imputation
Pooling
Categorical covariates
Significance test
Logistic regression
Simulation study
Online Access:http://link.springer.com/article/10.1186/s12874-017-0404-7

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http://link.springer.com/article/10.1186/s12874-017-0404-7

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