Small-sample bias and corrections for conditional maximum-likelihood odds-ratio estimators

DOI10.1093/biostatistics/1.1.113zbMath0976.62500OpenAlexW2171563157WikidataQ73838356 ScholiaQ73838356MaRDI QIDQ4489926

Sander Greenland

Publication date: 2 January 2002

Published in: Biostatistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biostatistics/1.1.113

zbMATH Keywords

matchingproportional hazardsbiasrelative riskCox modelcase-control studiesodds ratioconditional logistic regressionrisk assessmentlogistic modelslikelihood analysisepidemiologic methods

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10)

Related Items (4)

Bias‐reduced estimators of conditional odds ratios in matched case‐control studies with unmatched confounding ⋮ Reducing bias and mean squared error associated with regression-based odds ratio estimators ⋮ Inferences from logistic regression models in the presence of small samples, rare events, nonlinearity, and multicollinearity with observational data ⋮ A modified score function estimator for multinomial logistic regression in small samples.

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