𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Goodness-of-Fit Tests for the Logistic Regression Model for Matched Case-Control Studies

✍ Scribed by David W. Hosmer; Stanley Lemeshow

Publisher
John Wiley and Sons
Year
1985
Tongue
English
Weight
547 KB
Volume
27
Category
Article
ISSN
0323-3847

No coin nor oath required. For personal study only.

✦ Synopsis

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 fit with matched case-control studies.

This paper presents methods for assessing fit for matched case-control studies. Both parametric and nonparametric approaches are suggested even though none are directly analogous t o the statistics proposed in the unmatched situation. Several examples are included t o illustrate the methods.

πŸ“œ SIMILAR VOLUMES

A COMPARISON OF GOODNESS-OF-FIT TESTS FO
A COMPARISON OF GOODNESS-OF-FIT TESTS FOR THE LOGISTIC REGRESSION MODEL
✍ D. W. HOSMER; T. HOSMER; S. LE CESSIE; S. LEMESHOW πŸ“‚ Article πŸ“… 1997 πŸ› John Wiley and Sons 🌐 English βš– 271 KB πŸ‘ 3 views

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

The Performance of Goodness of Fit Tests
The Performance of Goodness of Fit Tests for Logistic Regression with Discrete Covariates
✍ L. R. Korn; D. W. Hosmer; S. Lemeshow πŸ“‚ Article πŸ“… 1986 πŸ› John Wiley and Sons 🌐 English βš– 555 KB

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

Goodness-of-Fit Testing for the Logistic
Goodness-of-Fit Testing for the Logistic Regression Model when the Estimated Probabilities are Small
✍ Prof. D. W. Hosmer; S. Lemeshow; J. Klar πŸ“‚ Article πŸ“… 1988 πŸ› John Wiley and Sons 🌐 English βš– 762 KB

The distribution of the Hosmer-Lemeshow chi-square type goodness-of-fit tests (Gg, I? for the logistic regremion model are examined via simulations designed to examine their behamor when most of the estimated probabilities are small or are expected to fall in a few deciles. The results of the simula