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

Affiliations

Comment

Dandan Liu et al. Biometrics. 2020 Jun.

. 2020 Jun;76(2):572-574.

doi: 10.1111/biom.13248. Epub 2020 Apr 6.

¹ Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee.

No abstract available

Comment in

Rejoinder to "Assessing the goodness of fit of logistic regression models in large samples: A modification of the Hosmer-Lemeshow test".
Nattino G, Pennell ML, Lemeshow S. Nattino G, et al. Biometrics. 2020 Jun;76(2):575-577. doi: 10.1111/biom.13250. Epub 2020 Apr 6. Biometrics. 2020. PMID: 32251533 No abstract available.

Assessing the goodness of fit of logistic regression models in large samples: A modification of the Hosmer-Lemeshow test.
Nattino G, Pennell ML, Lemeshow S. Nattino G, et al. Biometrics. 2020 Jun;76(2):549-560. doi: 10.1111/biom.13249. Epub 2020 Apr 6. Biometrics. 2020. PMID: 32134502

1. Blume JD, Greevy RA Jr, Welty VF, and Dupont WD (2019). An introduction to second-generation p-values. The American Statistician 73, 157–167.
1. Cox DR (1958). Two further applications of a model for binary regression. Biometrika 45, 562–565.
1. Grambsch PM and Therneau TM (1994). Proportional hazards tests and diagnostics based on weighted residuals. Biometrika 81, 515–526.
1. Steiger JH (1990). Structural model evaluation and modification: An interval estimation approach. Multivariate behavioral research 25, 173–180. - PubMed
1. Steyerberg EW, Vickers AJ, Cook NR, Gerds T, Gonen M, Obuchowski N, Pencina MJ, and Kattan MW (2010). Assessing the performance of prediction models: a framework for some traditional and novel measures Epidemiology (Cambridge, Mass: ) 21, 128. - PMC - PubMed