Bayes and empirical Bayes methods for reduced rank regression models in matched case-control studies

Author:

Satagopan Jaya M.1,Sen Ananda2,Zhou Qin1,Lan Qing3,Rothman Nathaniel3,Langseth Hilde4,Engel Lawrence S.5

Affiliation:

1. Department of Epidemiology and Biostatistics; Memorial Sloan Kettering Cancer Center; New York 10017 U.S.A.

2. Departments of Family Medicine and Biostatistics; University of Michigan; Ann Arbor, Michigan 48104 U.S.A.

3. Division of Cancer Epidemiology and Genetics; National Cancer Insitute; Rockville, Maryland 20892 U.S.A.

4. Cancer Registry of Norway; Institute of Population-Based Cancer Research; Oslo 0304 Norway

5. Department of Epidemiology; University of North Carolina; Chapel Hill, North Carolina 27599 U.S.A.

Funder

National Cancer Institute

Clinical and Translational Science Center

GI SPORE

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Reference26 articles.

1. Estimating linear restrictions on regression coefficients for multivariate normal distributions;Anderson;The Annals of Mathematical Statistics,1951

2. Gene selection using a two-level hierarchical Bayesian model;Bae;Bioinformatics,2004

3. Estimation of multiple relative risk functions in matched case-control studies;Breslow;American Journal of Epidemiology,1978

4. Limiting the risk of Bayes and empirical Bayes estimators-Part I: The Bayes case;Efron;Journal of the American Statistical Association,1971

5. Limiting the risk of Bayes and empirical Bayes estimators-Part II: The empirical Bayes case;Efron;Journal of the American Statistical Association,1972

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