Efficient Semiparametric Inference Under Two-Phase Sampling, With Applications to Genetic Association Studies

In modern epidemiological and clinical studies, the covariates of interest may involve genome sequencing, biomarker assay, or medical imaging and thus are prohibitively expensive to measure on a large number of subjects. A cost-effective solution is the two-phase design, under which the outcome and...

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Bibliographic Details
Published in:	Journal of the American Statistical Association Vol. 112; no. 520; pp. 1468 - 1476
Main Authors:	Tao, Ran, Zeng, Donglin, Lin, Dan-Yu
Format:	Journal Article
Language:	English
Published:	United States Taylor & Francis 02.10.2017 Taylor & Francis Group,LLC Taylor & Francis Ltd
Subjects:	Algorithms Applications and Case Studies Asymptotic properties Biased sampling Biological markers Biomarkers Blood clinical trials Computer simulation Cost analysis cost effectiveness Density Dominance EM algorithm English for special purposes Epidemiology Extreme values Gene sequencing Genetics Genome sequencing Genomics image analysis Inference Medical imaging Normality quantitative traits Regression analysis Response-selective sampling Sampling Semiparametric efficiency sequence analysis Sieve approximation Simulation simulation models statistical inference Statistical methods Statistics Semiparametric efficiency Responseselective sampling Biased sampling Genome sequencing EM algorithm Sieve approximation
ISSN:	0162-1459, 1537-274X, 1537-274X
Online Access:	Get full text
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