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

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

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2015 nî lūn-bûn

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2015年の論文

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2015年論文

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2015年論文

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2015年論文

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2015年論文

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2015年論文

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Bayes and empirical Bayes meth ...... n matched case-control studies

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Bayes and empirical Bayes meth ...... n matched case-control studies

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Bayes and empirical Bayes meth ...... n matched case-control studies

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P1476

Bayes and empirical Bayes meth ...... n matched case-control studies

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P2093

Ananda Sen

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Hilde Langseth

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Jaya M Satagopan

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Lawrence S Engel

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Qin Zhou

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Qing Lan

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P2860

Properties of preliminary test estimators and shrinkage estimators for evaluating multiple exposures - Application to questionnaire data from the SONIC study

Estimation of multiple relative risk functions in matched case-control studies.

The role of model selection in causal inference from nonexperimental data.

Proposed PCB congener groupings for epidemiological studies.

Exploiting gene-environment independence for analysis of case-control studies: an empirical Bayes-type shrinkage estimator to trade-off between bias and efficiency.

Gene selection using a two-level hierarchical Bayesian model.

Reduced rank proportional hazards model for competing risks.

Hierarchical regression analysis applied to a study of multiple dietary exposures and breast cancer.

The Bayesian Lasso

P304

584-595

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scholarly article

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10.1111/BIOM.12444

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English

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P478

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P50

Nathaniel Rothman

P577

2015-11-17T00:00:00Z

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P698

26575519

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4870158

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