Cited by 35,305Statistical Methods in EpidemiologyStatistical Methods and Bayesian InferenceStatistical Methods and Applications

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Applied logistic regression

David W. Hosmer, Stanley A. Lemeshow, Sturdivant, Rodney X.·1990·Choice Reviews Online

DOI 10.5860/choice.27-3338

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Abstract

A new edition of the definitive guide to logistic regression modeling for health science and other applications This thoroughly expanded Third Edition provides an easily accessible introduction to the logistic regression (LR) model and highlights the power of this model by examining the relationship between a dichotomous outcome and a set of covariables. Applied Logistic Regression, Third Edition emphasizes applications in the health sciences and handpicks topics that best suit the use of modern statistical software. The book provides readers with state-of-

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Authors: Hosmer, D. W., Lemeshow, S. A., & Sturdivant, R. X.
Venue: Choice Reviews Online
Publisher: American Library Association
Published: 1990-02-01
Volume: 27
Issue: 06
Pages: 27-3338-27-3338
ISSN: 0009-4978 (ISSN-L)
1523-8253
DOI: 10.5860/choice.27-3338
OpenAlex: W1973948212
Cited by: 35,305
References: 0
Citations by year: 2026: 8 · 2025: 9 · 2024: 36 · 2023: 33 · 2022: 67 · 2021: 1072 · 2020: 1196 · 2019: 1195 · 2018: 1126 · 2017: 1233 · 2016: 1441 · 2015: 1657 · 2014: 1894 · 2013: 1846 · 2012: 1861
Type: book review
Language: en
Open access: closed
Locations: Choice Reviews Online (publishedVersion)
International Linear Collider (submittedVersion)
CERN Document Server (European Organization for Nuclear Research) (submittedVersion)
Topics: Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
Keywords: logistic regression, binary outcomes, covariates, health sciences, statistical software, binary response models

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