A joint modeling approach to data with informative cluster size: Robustness to the cluster size model-Reference-Cited by-同舟云学术

A joint modeling approach to data with informative cluster size: Robustness to the cluster size model

Published:2011-04-15 Issue:15 Volume:30 Page:1825-1836
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statist. Med.

Author:

Chen Zhen,Zhang Bo,Albert Paul S.

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Reference22 articles.

1. The developmental toxicity of ethylene-glycol in rats and mice;Price;Toxicology and Applied Pharmacology,1985

2. Multi-pied Investigators. Parental periodontal predictors of oral health in adult children of a community cohort;Gansky;Journal of Dental Research,1998

3. Multi-level modelling of conception in artificial insemination by donor;Ecochard;Statistics in Medicine,1998

4. Random-effects models for longitudinal data;Laird;Biometrics,1982

5. Modeling the drop-out mechanism in repeated-measures studies;Little;Journal of the American Statistical Association,1995

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