𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Analysis of marginally specified semi-nonparametric models for clustered binary data

✍ Scribed by Santu Ghosh; Kalyan Das; Peter Congdon

Book ID
111014325
Publisher
John Wiley and Sons
Year
2007
Tongue
English
Weight
570 KB
Volume
61
Category
Article
ISSN
0039-0402

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Clustering for binary data and mixture m
Clustering for binary data and mixture modelsβ€”choice of the model
✍ Nadif, M. ;Govaert, G. πŸ“‚ Article πŸ“… 1997 πŸ› John Wiley and Sons 🌐 English βš– 101 KB πŸ‘ 3 views

When cluster analysis is based on mixture models, choosing an appropriate model is a difficult problem. Previous studies usually addressed a part of this problem by estimating the number of clusters and assuming the type of model to be known. Various criteria to be minimized have been proposed to me

Use of Generalised Linear Mixed Models f
Use of Generalised Linear Mixed Models for the Analysis of Clustered Survival Data
✍ K. K. W. Yau; C. A. McGilchrist πŸ“‚ Article πŸ“… 1997 πŸ› John Wiley and Sons 🌐 English βš– 464 KB πŸ‘ 3 views

Data from a litter matched tumorigenesis experiment arc analysed using a gencralised h e a r mixed model (GLMM) approach to the analysis of clustered survival data in which there is a dependence of failure time observations withii the same litter. Maximum likelihood (ML.) and residual maximum likeli