domains / families / science / logistic-regression

logistic-regression

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Performs logistic regression for clinical trial outcomes (binary, ordinal, multinomial) with marginal-vs-conditional estimand reporting per FDA 2023 covariate adjustment guidance, g-computation/standardisation for marginal effects, modified Poisson for RR, Brant test for proportional odds, Firth penalty for separation, and Hauck-Donner detection. Use when modeling binary or ordinal endpoints in confirmatory or exploratory clinical trials.

When to use

• modeling binary endpoints in confirmatory or exploratory clinical trials
• modeling ordinal endpoints in confirmatory or exploratory clinical trials
• marginal-vs-conditional estimand reporting
• g-computation/standardisation for marginal effects
• modified Poisson for RR
• Brant test for proportional odds
• Firth penalty for separation
• Hauck-Donner detection

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