Journal
JOURNAL OF BIOPHARMACEUTICAL STATISTICS
Volume 23, Issue 6, Pages 1383-1402Publisher
TAYLOR & FRANCIS INC
DOI: 10.1080/10543406.2013.834912
Keywords
Covariate; Imbalance; Logistic regression
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Funding
- NINDS NIH HHS [T32 NS048007] Funding Source: Medline
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In logistic regression analysis for binary clinical trial data, adjusted treatment effect estimates are often not equivalent to unadjusted estimates in the presence of influential covariates. This article uses simulation to quantify the benefit of covariate adjustment in logistic regression. However, International Conference on Harmonization guidelines suggest that covariate adjustment be prespecified. Unplanned adjusted analyses should be considered secondary. Results suggest that if adjustment is not possible or unplanned in a logistic setting, balance in continuous covariates can alleviate some (but never all) of the shortcomings of unadjusted analyses. The case of log binomial regression is also explored.
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