Rejoinder to "Assessing the goodness of fit of logistic regression models in large samples: A modification of the Hosmer-Lemeshow test"
- PMID: 32251533
- DOI: 10.1111/biom.13250
Rejoinder to "Assessing the goodness of fit of logistic regression models in large samples: A modification of the Hosmer-Lemeshow test"
Comment on
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Assessing the goodness of fit of logistic regression models in large samples: A modification of the Hosmer-Lemeshow test.Biometrics. 2020 Jun;76(2):549-560. doi: 10.1111/biom.13249. Epub 2020 Apr 6. Biometrics. 2020. PMID: 32134502
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Discussion of "Assessing the goodness-of-fit of logistic regression models in large samples: A modification of the Hosmer-Lemeshow test," by Giovanni Nattino, Michael L. Pennell, and Stanley Lemeshow.Biometrics. 2020 Jun;76(2):569-571. doi: 10.1111/biom.13255. Epub 2020 Apr 6. Biometrics. 2020. PMID: 32251523 No abstract available.
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Discussion on "Assessing the goodness of fit of logistic regression models in large samples: A modification of the Hosmer-Lemeshow test" by Giovanni Nattino, Michael L. Pennell, and Stanley Lemeshow.Biometrics. 2020 Jun;76(2):572-574. doi: 10.1111/biom.13248. Epub 2020 Apr 6. Biometrics. 2020. PMID: 32251529 Free PMC article. No abstract available.
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Discussion on "Assessing the goodness of fit of logistic regression models in large samples: A modification of the Hosmer-Lemeshow test" by Giovanni Nattino, Michael L. Pennell, and Stanley Lemeshow.Biometrics. 2020 Jun;76(2):561-563. doi: 10.1111/biom.13257. Epub 2020 Apr 6. Biometrics. 2020. PMID: 32251532 No abstract available.
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Discussion on "Assessing the goodness of fit of logistic regression models in large samples: A modification of the Hosmer-Lemeshow test" by Giovanni Nattino, Michael L. Pennell, and Stanley Lemeshow.Biometrics. 2020 Jun;76(2):564-568. doi: 10.1111/biom.13251. Epub 2020 Apr 6. Biometrics. 2020. PMID: 32251538 No abstract available.
References
REFERENCE
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- Nattino, G., Finazzi, S. and Bertolini, G. (2014) Comments on 'graphical assessment of internal and external calibration of logistic regression models by using loess smoothers' by Peter C. Austin and Ewout W. Steyerberg. Statistics in Medicine, 33(15), 2696-2698.
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