BAYESIAN SEMIPARAMETRIC ANALYSIS FOR TWO-PHASE STUDIES OF GENE-ENVIRONMENT INTERACTION
about
Bayesian hierarchical models for smoothing in two-phase studies, with application to small area estimation.Exposure enriched outcome dependent designs for longitudinal studies of gene-environment interaction.Current Challenges and New Opportunities for Gene-Environment Interaction Studies of Complex Diseases.
P2860
BAYESIAN SEMIPARAMETRIC ANALYSIS FOR TWO-PHASE STUDIES OF GENE-ENVIRONMENT INTERACTION
description
article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on March 2013
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
BAYESIAN SEMIPARAMETRIC ANALYSIS FOR TWO-PHASE STUDIES OF GENE-ENVIRONMENT INTERACTION
@en
BAYESIAN SEMIPARAMETRIC ANALYSIS FOR TWO-PHASE STUDIES OF GENE-ENVIRONMENT INTERACTION.
@nl
type
label
BAYESIAN SEMIPARAMETRIC ANALYSIS FOR TWO-PHASE STUDIES OF GENE-ENVIRONMENT INTERACTION
@en
BAYESIAN SEMIPARAMETRIC ANALYSIS FOR TWO-PHASE STUDIES OF GENE-ENVIRONMENT INTERACTION.
@nl
prefLabel
BAYESIAN SEMIPARAMETRIC ANALYSIS FOR TWO-PHASE STUDIES OF GENE-ENVIRONMENT INTERACTION
@en
BAYESIAN SEMIPARAMETRIC ANALYSIS FOR TWO-PHASE STUDIES OF GENE-ENVIRONMENT INTERACTION.
@nl
P2093
P2860
P356
P1476
BAYESIAN SEMIPARAMETRIC ANALYSIS FOR TWO-PHASE STUDIES OF GENE-ENVIRONMENT INTERACTION
@en
P2093
Bhramar Mukherjee
Malay Ghosh
Stephen B Gruber
P2860
P304
P356
10.1214/12-AOAS599
P577
2013-03-01T00:00:00Z