Logistic regression and odds ratios.

Overestimation of risk ratios by odds ratios in trials and cohort studies: alternatives to logistic regression.

Odds ratios and logistic regression: further examples of their use and interpretation

Logistic regression is perhaps the most widely used method for adjustment of confounding in epidemiologic studies. Its popularity is understandable. The method can simultaneously adjust for confounders measured on different scales; it provides estimates that are clinically interpretable; and its estimates are valid in a variety of study designs with few underlying assumptions. To those of us in...

Bias in odds ratios by logistic regression modelling and sample size

BACKGROUND In epidemiological studies researchers use logistic regression as an analytical tool to study the association of a binary outcome to a set of possible exposures. METHODS Using a simulation study we illustrate how the analytically derived bias of odds ratios modelling in logistic regression varies as a function of the sample size. RESULTS Logistic regression overestimates odds rat...

Practice of Epidemiology Asymptotically Unbiased Estimation of Exposure Odds Ratios in Complete Records Logistic Regression

Asymptotically unbi-ased estimation of exposure odds ratios in complete records logistic regression. American journal of epidemiology, 182 (8). pp. 730-6.

Asymptotically Unbiased Estimation of Exposure Odds Ratios in Complete Records Logistic Regression

Missing data are a commonly occurring threat to the validity and efficiency of epidemiologic studies. Perhaps the most common approach to handling missing data is to simply drop those records with 1 or more missing values, in so-called "complete records" or "complete case" analysis. In this paper, we bring together earlier-derived yet perhaps now somewhat neglected results which show that a log...