Regression analysis of longitudinal data with irregular and informative observation times-Reference-Cited by-同舟云学术

Regression analysis of longitudinal data with irregular and informative observation times

Published:2015-03-25 Issue:4 Volume:16 Page:727-739
ISSN:1465-4644
Container-title:Biostatistics
language:en
Short-container-title:Biostat

Author:

Chen Yong,Ning Jing,Cai Chunyan

Publisher

Oxford University Press (OUP)

Subject

Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability

Link

http://academic.oup.com/biostatistics/article-pdf/16/4/727/5020117/kxv008.pdf

Reference32 articles.

1. Bahadur R. R. (1961). A representation of the joint distribution of responses to n dichotomous items. In: Solomon H. (editor), Studies in Item Analysis and Prediction, Stanford Mathematical Studies in the Social Sciences VI. Standford: Stanford University Press.

2. Besag J. (1974). Spatial interaction and the statistical analysis of lattice systems. Journal of the Royal Statistical Society. Series B (Methodological), 36(2), 192–236.

3. On the Distribution of the Likelihood Ratio

4. A note on pseudolikelihood constructed from marginal densities

5. A high-dimensional joint model for longitudinal outcomes of different nature

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