Dealing with missing covariates in epidemiologic studies: a comparison between multiple imputation and a full Bayesian approach

2016-07-30

Statistics in Medicine , Volume 35 - Issue 17 p. 2955- 2974

Additional Metadata
Keywords	Bayesian, epidemiology, MICE, missing covariate values, multiple imputation
Persistent URL	doi.org/10.1002/sim.6944, hdl.handle.net/1765/95929
Journal	Statistics in Medicine
Organisation	Department of Biostatistics
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Erler, N., Rizopoulos, D., van Rosmalen, J., Jaddoe, V., Franco, O., & Lesaffre, E. (2016). Dealing with missing covariates in epidemiologic studies: a comparison between multiple imputation and a full Bayesian approach. Statistics in Medicine, 35(17), 2955–2974. doi:10.1002/sim.6944

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