A comparison of the Hosmer–Lemeshow, Pigeon–Heyse, and Tsiatis goodness-of-fit tests for binary logistic regression under two grouping methods
Author:
Publisher
Informa UK Limited
Subject
Modeling and Simulation,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/03610918.2015.1017583
Reference34 articles.
1. Canary, J. D. (2013).Grouped Goodness-of-Fit Tests for Binary Regression Models. PhD dissertation, University of Tasmania, Tasmania, Australia.
2. The Use of Maximum Likelihood Estimates in $\chi^2$ Tests for Goodness of Fit
3. Performance of reclassification statistics in comparing risk prediction models
4. Effects of Data Grouping on Calibration Measures of Classifiers
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