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This completely expanded Third Edition offers a quickly accessible intro to the logistic regression (LR) design and highlights the power of this design by analyzing the relationship in between a dichotomous outcome and a set of covariables.
Applied Logistic Regression, Third Edition stresses applications in the health sciences and handpicks subjects that best match using modern statistical software. The book offers readers with cutting edge methods for structure, translating, and assessing the efficiency of LR models. New and upgraded functions consist of:
Applied Logistic Regression, Third Edition is a must-have guide for specialists and researchers who need to design nominal or ordinal scaled outcome variables in public health, medicine, and the social sciences in addition to a large range of other fields and disciplines.