https://doi.org/10.2307/1400650 • https://www.jstor.org/stable/1400650 Copy URL This article studies binomial mixture models that include covariates in binomial ...

This is a preview. Log in through your library . Abstract The log-logistic distribution has a non-monotonic hazard function which makes it suitable for modelling some sets of cancer survival data. A ...

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 ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...