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Grant Details

Grant Number: 2R01CA079949-07A1 Interpret this number
Primary Investigator: Zhou, Haibo
Organization: Univ Of North Carolina Chapel Hill
Project Title: Statistical Methods for Outcome-Dependent Sampling
Fiscal Year: 2008


Abstract

DESCRIPTION (provided by applicant): We will develop and evaluate improved statistical methods for the design and analysis of biomedical studies conducted with general biased sampling design schemes, the univariate and multivariate outcome-auxiliary- dependent sampling (OADS) and the two-stage OADS designs. The advantage of such designs is that it allows both prospective and retrospective samples at the same time where the prospective sample provides the benefits of a cohort study and the retrospective sample enables investigators to concentrate resources on where there is the greatest amount of information, i.e., some judiciously chosen subsets based on the outcome and auxiliary covariate information. New statistical methods is needed to achieve the potential statistical efficiency. Extension of the simple ODS design to allow the sampling probability to depend on a continuous outcome and a continuous auxiliary covariates will be developed. We also develop optimal two-stage OADS designs under commonly encountered budget and precision/power constraints in practice. Tools and benchmark for distinguishing available sampling options in the planning stage of the study will be developed. These are the relative-budget-index for fixed precision/power case and the relative-gain-index for fixed budget case. The proposed methods are particularly useful in cancer and environmental research where auxiliary exposure information and expensive exposure assessment are frequent challenges. The proposal consists of six projects. The first project deals with semiparamtric efficient inference for two-stage OADS design where the first stage data can be either from a simple random sample or from an ODS sample itself. The second project concerns the optimal two-stage OADS design for a fixed budget and the development of a formal evaluation criteria (RGI) that measures the closeness of an alternative design to the optimal one. The third project concerns the optimal two-stage OADS design for a given precision/power and the development of a formal evaluation criteria (RBI) that measures the closeness of an alternative design to the optimal one (the one with the minimal budget). The fourth project considers a multivariate OADS and multivariate two-stage OADS design and develop the semiparametric inferences for correlated responses under the multivariate OADS. The fifth project concerns a partial linear model for the nonlinear exposure effects in both fixed and random effects regression analysis under an OADS and two-stage OADS design. The sixth project investigates a variable selection and hypothesis testing techniques for data from two-stage OADS design. The strengths and weaknesses of proposed methods will be critically examined via theoretical investigations and simulations. Cost-effective sampling strategies in a given setting will be investigated. Comparisons with existing methods will be conducted. Related software will be developed. Data sets from epidemiologic and environmental studies on the effects of environmental exposures, and on cancer and other diseases will be analyzed. These include the Cancer Risk in Uranium Miners Study, the Magnetic Fields and Breast Cancer Risk Study, the Collaborative Perinatal Project, the Family Heart Study, and the DDE-antiandrogen Study. PUBLIC HEALTH RELEVANCE: We propose and investigate some new study designs/analytical methods that will allow biomedical study to be conducted less costly in practice while still providing a good statistical power to detect the effect of interests. These designs allow investigators to conduct their study more efficiently for a given budget and hence can help improve the overall efficiency and productivity of the public health research.



Publications

Semiparametric Inference for Data with a Continuous Outcome from a Two-Phase Probability Dependent Sampling Scheme.
Authors: Zhou H. , Xu W. , Zeng D. , Cai J. .
Source: Journal Of The Royal Statistical Society. Series B, Statistical Methodology, 2014-01-01 00:00:00.0; 76(1), p. 197-215.
PMID: 24737947
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Mixed effect regression analysis for a cluster-based two-stage outcome-auxiliary-dependent sampling design with a continuous outcome.
Authors: Xu W. , Zhou H. .
Source: Biostatistics (oxford, England), 2012 Sep; 13(4), p. 650-64.
PMID: 22723503
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Marginal Hazard Regression For Correlated Failure Time Data With Auxiliary Covariates
Authors: Liu,Y. , Yuan,Z. , Cai,J. , Zhou,H. .
Source: Lifetime Data Analysis, 2012 Jan; 18(1), p. 116-38.
PMID: 22094533
Related Citations

A Partial Linear Model In The Outcome-dependent Sampling Setting To Evaluate The Effect Of Prenatal Pcb Exposure On Cognitive Function In Children
Authors: Zhou,H. , Qin,G. , Longnecker,M.P. .
Source: Biometrics, 2011 Sep; 67(3), p. 876-85.
PMID: 21039397
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A Partially Linear Regression Model For Data From An Outcome-dependent Sampling Design
Authors: Zhou H. , You J. , Qin G. , Longnecker M.P. .
Source: Journal Of The Royal Statistical Society. Series C, Applied Statistics, 2011 Aug; 60(4), p. 559-574.
PMID: 21966030
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Partial linear inference for a 2-stage outcome-dependent sampling design with a continuous outcome.
Authors: Qin G. , Zhou H. .
Source: Biostatistics (oxford, England), 2011 Jul; 12(3), p. 506-20.
PMID: 21156990
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Semiparametric inference for a 2-stage outcome-auxiliary-dependent sampling design with continuous outcome.
Authors: Zhou H. , Wu Y. , Liu Y. , Cai J. .
Source: Biostatistics (oxford, England), 2011 Jul; 12(3), p. 521-34.
PMID: 21252082
Related Citations

Nasal Nitric Oxide And Lifestyle Exposure To Tobacco Smoke
Authors: Zhou,H. , Zou,B. , Hazucha,M. , Carson,J.L. .
Source: The Annals Of Otology, Rhinology, And Laryngology, 2011 Jul; 120(7), p. 455-9.
PMID: 21859054
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Statistical Inference For A Two-stage Outcome-dependent Sampling Design With A Continuous Outcome
Authors: Zhou,H. , Song,R. , Wu,Y. , Qin,J. .
Source: Biometrics, 2011 Mar; 67(1), p. 194-202.
PMID: 20560938
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Additive-multiplicative Rates Model For Recurrent Events
Authors: Liu,Y. , Wu,Y. , Cai,J. , Zhou,H. .
Source: Lifetime Data Analysis, 2010 Jul; 16(3), p. 353-73.
PMID: 20229314
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Phenotypic And Physiologic Variability In Nasal Epithelium Cultured From Smokers And Non-smokers Exposed To Secondhand Tobacco Smoke
Authors: Carson,J.L. , Lu,T.S. , Brighton,L. , Hazucha,M. , Jaspers,I. , Zhou,H. .
Source: In Vitro Cellular & Developmental Biology. Animal, 2010 Jul; 46(7), p. 606-12.
PMID: 20383665
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Design And Inference For Cancer Biomarker Study With An Outcome And Auxiliary-dependent Subsampling
Authors: Wang,X. , Zhou,H. .
Source: Biometrics, 2010 Jun; 66(2), p. 502-11.
PMID: 19508239
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Gaussian process based bayesian semiparametric quantitative trait Loci interval mapping.
Authors: Huang H. , Zhou H. , Cheng F. , Hoeschele I. , Zou F. .
Source: Biometrics, 2010 Mar; 66(1), p. 222-32.
PMID: 19459837
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Multivariate Failure Times Regression With A Continuous Auxiliary Covariate
Authors: Liu Y. , Wu Y. , Zhou H. .
Source: Journal Of Multivariate Analysis, 2010-03-01 00:00:00.0; 101(3), p. 679-691.
PMID: 21966052
Related Citations

Inference For Seemingly Unrelated Varying-coefficient Nonparametric Regression Models
Authors: You J. , Zhou H. .
Source: International Journal Of Statistics And Management System, 2010-01-01 00:00:00.0; 5(1-2), p. 59-83.
PMID: 24453433
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Estimated pseudopartial-likelihood method for correlated failure time data with auxiliary covariates.
Authors: Liu Y. , Zhou H. , Cai J. .
Source: Biometrics, 2009 Dec; 65(4), p. 1184-93.
PMID: 19432779
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Outcome- And Auxiliary-dependent Subsampling And Its Statistical Inference
Authors: Wang,X. , Wu,Y. , Zhou,H. .
Source: Journal Of Biopharmaceutical Statistics, 2009 Nov; 19(6), p. 1132-50.
PMID: 20183468
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Adjusted Exponentially Tilted Likelihood With Applications To Brain Morphology
Authors: Zhu,H. , Zhou,H. , Chen,J. , Li,Y. , Lieberman,J. , Styner,M. .
Source: Biometrics, 2009 Sep; 65(3), p. 919-27.
PMID: 18945269
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Influence Of C-159t Snp Of The Cd14 Gene Promoter On Lung Function In Smokers
Authors: Zhou,H. , Alexis,N.E. , Almond,M. , Donohue,J. , LaForce,C. , Bromberg,P.A. , Peden,D.B. .
Source: Respiratory Medicine, 2009 Sep; 103(9), p. 1358-65.
PMID: 19361972
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Increased Nasal Epithelial Ciliary Beat Frequency Associated With Lifestyle Tobacco Smoke Exposure
Authors: Zhou,H. , Wang,X. , Brighton,L. , Hazucha,M. , Jaspers,I. , Carson,J.L. .
Source: Inhalation Toxicology, 2009 Aug; 21(10), p. 875-81.
PMID: 19555226
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On semiparametric efficient inference for two-stage outcome-dependent sampling with a continuous outcome.
Authors: Song R. , Zhou H. , Kosorok M.R. .
Source: Biometrika, 2009-01-26 00:00:00.0; 96(1), p. 221.
PMID: 20107493
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Statistical Inference For Regression Models With Covariate Measurement Error And Auxiliary Information
Authors: You J. , Zhou H. .
Source: International Journal Of Statistics And Management System, 2009; 4(1-2), p. 96-12.
PMID: 22199460
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A Two-stage Approach For Semilinear In-slide Models
Authors: You J. , Zhou H. .
Source: Journal Of Multivariate Analysis, 2008-09-01 00:00:00.0; 99(8), p. 1610-1634.
PMID: 19802362
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Outcome-dependent sampling: an efficient sampling and inference procedure for studies with a continuous outcome.
Authors: Zhou H. , Chen J. , Rissanen T.H. , Korrick S.A. , Hu H. , Salonen J.T. , Longnecker M.P. .
Source: Epidemiology (cambridge, Mass.), 2007 Jul; 18(4), p. 461-8.
PMID: 17568219
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A Semiparametric Empirical Likelihood Method For Biased Sampling Schemes With Auxiliary Covariates
Authors: Wang,X. , Zhou,H. .
Source: Biometrics, 2006 Dec; 62(4), p. 1149-60.
PMID: 17156290
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Statistical Models For Human Fecundability
Authors: Zhou,H. .
Source: Statistical Methods In Medical Research, 2006 Apr; 15(2), p. 181-94.
PMID: 16615656
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Random Effects Logistic Regression Analysis With Auxiliary Covariates
Authors: Zhou H. , Chen J. , Cai J. .
Source: Biometrics, 2002 Jun; 58(2), p. 352-60.
PMID: 12071408
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A Semiparametric Empirical Likelihood Method For Data From An Outcome-dependent Sampling Scheme With A Continuous Outcome
Authors: Zhou H. , Weaver M.A. , Qin J. , Longnecker M.P. , Wang M.C. .
Source: Biometrics, 2002 Jun; 58(2), p. 413-21.
PMID: 12071415
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A Statistical Model For The Evaluation Of Barrier Contraceptive Efficacy
Authors: Dominik R. , Zhou H. , Cai J. .
Source: Statistics In Medicine, 2001-11-15 00:00:00.0; 20(21), p. 3279-94.
PMID: 11746318
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