Biased Estimation of Adjusted Odds Ratios from Incomplete Covariate Data Due to Violation of the Missing at Random Assumption
作者:
Werner Vach,
Sabina Illi,
期刊:
Biometrical Journal
(WILEY Available online 1997)
卷期:
Volume 39,
issue 1
页码: 13-28
ISSN:0323-3847
年代: 1997
DOI:10.1002/bimj.4710390103
出版商: WILEY‐VCH Verlag
关键词: Adjusted odds ratio;Biased estimation;Case‐control study;Complete case analysis;Maximum likelihood estimation;Missing at random;Missing value;Logistic model
数据来源: WILEY
摘要:
AbstractWe investigate the possible bias due to an erroneous missing at random assumption if adjusted odds ratios are estimated from incomplete covariate data using the maximum likelihood principle. A relation between complete case estimates and maximum likelihood estimates allows us to identify situations where the bias vanishes. Numerical computations demonstrate that the bias is most serious if the degree of the violation of the missing at random assumption depends on the value of the outcome variable or of the observed covariate. Implications for the analysis of prospective and retrospective studies are given.
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