𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Robust Regression for Clustered Data with Application to Binary Responses

✍ Scribed by John S. Preisser; Bahjat F. Qaqish


Book ID
110724560
Publisher
John Wiley and Sons
Year
1999
Tongue
English
Weight
544 KB
Volume
55
Category
Article
ISSN
0006-341X

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Robust inference for generalized linear
✍ Gianfranco Adimari; Laura Ventura πŸ“‚ Article πŸ“… 2001 πŸ› Elsevier Science 🌐 English βš– 125 KB

In this paper we consider a suitable scale adjustment of the estimating function which deΓΏnes a class of robust M-estimators for generalized linear models. This leads to a robust version of the quasi-proΓΏle loglikelihood which allows us to derive robust likelihood ratio type tests for inference and

A comparison of mixed effects logistic r
✍ Thomas R. Ten Have; Allen R. Kunselman; Luan Tran πŸ“‚ Article πŸ“… 1999 πŸ› John Wiley and Sons 🌐 English βš– 111 KB πŸ‘ 3 views

We compare mixed effects logistic regression models for binary response data with two nested levels of clustering. The comparison of these models occurs in the context of developmental toxicity data sets, for which multiple types of outcomes (first level) are measured on each rat pup (second level)