Prognostic models can be developed with multiple regression analysis of a data set containing individual patient data. Often this data set is relatively small, while previously published studies present results for larger numbers of patients. We describe a method to combine univariable regression re
Confidence sets and coverage probabilities based on preliminary estimators in logistic regression models
✍ Scribed by M.L. Menéndez; L. Pardo; M.C. Pardo
- Publisher
- Elsevier Science
- Year
- 2009
- Tongue
- English
- Weight
- 689 KB
- Volume
- 224
- Category
- Article
- ISSN
- 0377-0427
No coin nor oath required. For personal study only.
✦ Synopsis
In this paper we present recentered confidence sets for the parameters of a logistic regression model based on preliminary minimum φ-divergence estimators. Asymptotic coverage probabilities are given as well as a simulation study in order to analyze the coverage probabilities for small and moderate sample sizes.
📜 SIMILAR VOLUMES
A general multistage model is considered where all individuals start at a given initial stage at time zero. Based on randomly right-censored data, we provide both individual-speciÿc and overall estimates of the probabilities of entry to a future stage. We also provide normalized estimators of the pr