The broad objective of this research is to develop new statistical methods for several important and timely problems that arise in cancer and HIV/AIDS clinical research. Major efforts will be directed toward (1) lifetime medical cost analysis with incomplete follow-up data and (2) covariate measurement error in logistic and Cox regressions. Current development in these two areas is inadequate and substantial gaps of knowledge exist. In medical research cost evaluation is becoming an important component and has been integrated in many studies, as our health care system is increasingly constrained with limited resources. However, statistical methods for lifetime medical cost analysis with incomplete follow-up data have largely been lacking. This work will focus on developing semipararametric tests and regressions, which accommodate right-censored data. The second area of research concerns the situation that regression covariates are not accurately ascertainable, e.g. dietary intakes in cancer prevention studies or CD4 lymphocyte count and viral load in HIV/AIDS research. Parametric- and nonparametric-correction methods will be developed for widely-applied logistic and Cox regressions with various scenarios of available data. Despite the challenges of these long-standing problems, preliminary investigations have shown considerable promise for elegant and practical solutions. Large-sample properties of the proposed test statistics and estimators will be rigorously investigated by making use of marked point process theory, martingale theory, and modern empirical process theory. Extensive simulation studies will be performed to validate these proposals under practical sample sizes. The proposed methods will be applied to a number of cancer and HIV/AIDS clinical trials. User-friendly computer programs will be developed and made available to the research community.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA090747-03
Application #
6748127
Study Section
Special Emphasis Panel (ZRG1-SNEM-5 (01))
Program Officer
Starks, Vaurice
Project Start
2002-04-01
Project End
2004-07-31
Budget Start
2004-04-01
Budget End
2004-07-31
Support Year
3
Fiscal Year
2004
Total Cost
$42,289
Indirect Cost
Name
Fred Hutchinson Cancer Research Center
Department
Type
DUNS #
078200995
City
Seattle
State
WA
Country
United States
Zip Code
98109
Huang, Yijian (2010) QUANTILE CALCULUS AND CENSORED REGRESSION. Ann Stat 38:1607-1637
Huang, Yijian; Peng, Limin (2009) Accelerated Recurrence Time Models. Scand Stat Theory Appl 36:636
Huang, Yijian; Zhang, Rebecca; Culler, Steven D et al. (2008) Costs and effectiveness of cardiac rehabilitation for dialysis patients following coronary bypass. Kidney Int 74:1079-84
Wang, C Y; Huang, Yijian; Chao, Edward C et al. (2008) Expected estimating equations for missing data, measurement error, and misclassification, with application to longitudinal nonignorable missing data. Biometrics 64:85-95
Song, Xiao; Huang, Yijian (2006) A corrected pseudo-score approach for additive hazards model with longitudinal covariates measured with error. Lifetime Data Anal 12:97-110
Song, Xiao; Huang, Yijian (2005) On corrected score approach for proportional hazards model with covariate measurement error. Biometrics 61:702-14
Chen, Ying Qing; Wang, Mei-Cheng; Huang, Yijian (2004) Semiparametric regression analysis on longitudinal pattern of recurrent gap times. Biostatistics 5:277-90
Huang, Yijian; Chen, Ying Qing (2003) Marginal regression of gaps between recurrent events. Lifetime Data Anal 9:293-303
Wang, C Y; Huang, Yijian (2003) Error in timing in regression with observed longitudinal measurements. Stat Med 22:2577-90