Assessing the goodness of fit of logistic regression models in large samples: A modification of the Hosmer‐Lemeshow test-Reference-Cited by-同舟云学术

Assessing the goodness of fit of logistic regression models in large samples: A modification of the Hosmer‐Lemeshow test

Published:2020-04-06 Issue:2 Volume:76 Page:549-560
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biometric

Author:

Nattino Giovanni¹²^ORCID,Pennell Michael L.²,Lemeshow Stanley²

Affiliation:

1. The Ohio Colleges of Medicine Government Resource CenterOhio State University Columbus Ohio

2. Division of Biostatistics, College of Public HealthOhio State University Columbus Ohio

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/biom.13249

Reference21 articles.

1. Goodness-of-fit tests for logistic regression models when data are collected using a complex sampling design

2. Graphical assessment of internal and external calibration of logistic regression models by using loess smoothers

3. Alternative Ways of Assessing Model Fit

4. How Many Classes in the Pearson Chi-Square Test?

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