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
- PMID: 32251532
- DOI: 10.1111/biom.13257
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
Comment in
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Rejoinder to "Assessing the goodness of fit of logistic regression models in large samples: A modification of the Hosmer-Lemeshow test".Biometrics. 2020 Jun;76(2):575-577. doi: 10.1111/biom.13250. Epub 2020 Apr 6. Biometrics. 2020. PMID: 32251533 No abstract available.
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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- Shmueli, G. and Koppius, O.R. (2011) Predictive analytics in information systems research. MIS Quarterly, 553-572.
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- Wasserstein, R.L. and Lazar, N.A. (2016) The ASA's statement on p-values: context, process, and purpose. The American Statistician, 70(2), 129-133.
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