Hosmer, D.W., Hosmer, T., Le Cessie, S. and Lemeshow, S. (1997) A Comparison of Goodness-of-Fit Tests for the Logistic Regression Model. Statistics in Medicine, 16, 965-980.
https://doi.org/10.1002/(SICI)1097-0258(19970515)16:9<965::AID-SIM509>3.0.CO;2-O

has been cited by the following article:

• TITLE: Asymptomatic Distribution of Goodness-of-Fit Tests in Logistic Regression Model

  AUTHORS: Nuri H. Salem Badi

  KEYWORDS: Logistic Regression Model, Goodness-of-Fit Tests

  JOURNAL NAME: Open Journal of Statistics, Vol.7 No.3, June 12, 2017

  ABSTRACT: The logistic regression model has been become commonly used to study the association between a binary response variable; it is widespread application rests on its easy application and interpretation. The subject of assessment of goodness-of-fit in logistic regression model has attracted the attention of many scientists and researchers. Goodness-of-fit tests are methods to determine the suitability of the fitted model. Many of methods proposed and discussed for assessing goodness-of fit in logistic regression model, however, the asymptotic distribution of goodness-of-fit statistics are less examine, it is need more investigated. This work, will focus on assessing the behavior of asymptotic distribution of goodness-of-fit tests, also make comparison between global goodness-of-fit tests, and evaluate it by simulation.