Recent work has shown that there may be disadvantages in the use of the chi-square-like goodness-of-fit tests for the logistic regression model proposed by Hosmer and Lemeshow that use fixed groups of the estimated probabilities. A particular concern with these grouping strategies based on estimated
Goodness of fit tests for the multiple logistic regression model
โ Scribed by Hosmer, David W.; Lemesbow, Stanley
- Book ID
- 115478255
- Publisher
- Taylor and Francis Group
- Year
- 1980
- Tongue
- English
- Weight
- 750 KB
- Volume
- 9
- Category
- Article
- ISSN
- 0361-0926
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## A batract A number of statistics have recently been proposed t o asssess the fit of the multiple logistic regression model in both prospective and retrospective studies involving two independent samples as well as in cross sectional studies. These statistics are not appropriate for assessing fi
This paper considers the distribution of previously proposed goodnees of fit teets when nome or all of the covariates are dichotomous variables. The simulations show that of the statistics suggeated for teeting fit only one appears suitable for um with discrete covariates. This statistic urns condit