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Logistic regression is a technique used to make predictions in situations where the item to predict can take one of just two possible values. For example, you might want to predict the credit ...

The relationship between normal variable discrimination analysis and logistic regression analysis is noted and tests for the equality of two or more sets of multivariate normal parameters based on a ...

Fan Xia, Jun Chen, Wing Kam Fung, Hongzhe Li, A Logistic Normal Multinomial Regression Model for Microbiome Compositional Data Analysis, Biometrics, Vol. 69, No. 4 (DECEMBER 2013), pp. 1053-1063 ...

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 ...