The probability of disease development in a defined time period is described by a logistic regression model. A model for the regression variable, given disease status, is induced and is applied to ...
Multivariate regression models are applied to binary disease data in families identified from case-control studies. Attention is restricted to `marginal' or reproducible models, i.e. those whose ...
Logistic regression is often used instead of Cox regression to analyse genome-wide association studies (GWAS) of single-nucleotide polymorphisms (SNPs) and disease outcomes with cohort and case-cohort ...
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