Probability differences and odds ratios measure conditional-on-covariate effects and population-parameter effects
26 July 2016
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\newcommand{\betab}{\boldsymbol{\beta}}\)Differences in conditional probabilities and ratios of odds are two common measures of the effect of a covariate in binary-outcome models. I show how these measures differ in terms of conditional-on-covariate effects versus population-parameter effects. Read more…
Categories: Statistics binary outcome, biostatistics, effects, estimation, interpretation, logit, odds ratio