The main objective of this grant application is to develop and evaluate improved statistical methods for the design and analysis of epidemiologic studies conducted with an outcome-dependent sampling (ODS) scheme. Sampling strategies that lead to a more cost-effective design in a given setting will be investigated. The proposed methods are particularly useful for cancer and environmental research because exposure misclassification and expensive exposure assessment are frequent challenges. The proposal consists of four projects. The first project deals with a onestage ODS design with a continuous outcome variable. In this project, two methods for making inferences about regression parameters will be studied: a semiparametric likelihood approach for observed ODS sample, and a pseudo-likelihood approach for further improving efficiency when the values of the outcome variable are known for the underlying cohort. The second project considers a new inference procedure for case-control studies in the presence of surrogate and missing/mismeasured exposure information. The third project concerns a new semiparametric likelihood based inference procedure that improves study efficiency by combining a superior measurement of exposure from the ODS sample and an inferior measurement from the underlying cohort population. The fourth project considers a new semiparametric likelihood based inference procedure for a two-stage ODS design with a continuous outcome variable. This design uses the information on surrogate or confounding covariates for subjects in stage one, to target sampling from certain subpopulations in the second stage of sampling. The strengths and weaknesses of each proposed method will be critically examined via theoretical investigations and simulation studies. Comparisons with existing methods will be conducted. Related software will be developed. Data sets from ongoing epidemiologic studies on the effects of environmental and nutritional exposures, and on cancer and cardiovascular disease will be analyzed using the methods developed. These include the Magnetic Fields and Breast Cancer Risk Study, the Collaborative Perinatal Project, the Cancer Risk in Uranium Miners Study, the Atherosclerosis Risk in Communities Study, the Pregnancy, Infection, and Nutrition Study, and the Epidemiology of Exertion, Stress, and Preterm Delivery Study.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA079949-02
Application #
6173747
Study Section
Special Emphasis Panel (ZRG1-STA (01))
Program Officer
Nayfield, Susan G
Project Start
1999-09-01
Project End
2002-08-31
Budget Start
2000-09-01
Budget End
2001-08-31
Support Year
2
Fiscal Year
2000
Total Cost
$81,774
Indirect Cost
Name
University of North Carolina Chapel Hill
Department
Biostatistics & Other Math Sci
Type
Schools of Public Health
DUNS #
078861598
City
Chapel Hill
State
NC
Country
United States
Zip Code
27599
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Qin, Guoyou; Zhou, Haibo (2011) Partial linear inference for a 2-stage outcome-dependent sampling design with a continuous outcome. Biostatistics 12:506-20
Zhou, Haibo; Zou, Baiming; Hazucha, Milan et al. (2011) Nasal nitric oxide and lifestyle exposure to tobacco smoke. Ann Otol Rhinol Laryngol 120:455-9
Zhou, Haibo; Song, Rui; Wu, Yuanshan et al. (2011) Statistical inference for a two-stage outcome-dependent sampling design with a continuous outcome. Biometrics 67:194-202
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