This book also explains the differences and similarities between the many generalizations of the logistic regression model. The following topics are covered: binary logit analysis, logit analysis of ...

Logistic regression enables you to investigate the relationship between a categorical outcome and a set of explanatory variables. The outcome, or response, can be dichotomous (yes, no) or ordinal (low ...

Rosineide F. da Paz, Narayanaswamy Balakrishnan, Jorge Luis Bazán, L-Logistic regression models, Brazilian Journal of Probability and Statistics, Vol. 33, No. 3 (2019), pp. 455-479 ...

Logistic regression analysis, which estimates odds ratios, is often used to adjust for covariables in cohort studies and randomized controlled trials (RCTs) that study a dichotomous outcome. In ...