This project will develop and investigate new methodology for analyzing data from clinical studies of cancer and other chromic diseases. During this grant period methods for analyzing clustered failure time data will be emphasized. The specific areas of concentration are as follows: 1. Methods for the analysis of association structured in clustered failure time data. Clustered data might arise, for example, if there are institutional effects in multicenter clinical trials. Methods for non- parametric estimation of the association structure, methods for using these estimates to examine the association structure and help guide formulation of association models, and methods for local estimation of association parameters over time, will be investigated.. Estimates of association structure will also be applied to the problems of estimating weight matrices and variances of estimated parameters in transformed linear marginal regression analyses, and possibly other models as well. 2. Methods for semiparametric analysis of transformed linear failure time models with clustered data. Numerical issues, appropriate choice of weight functions, and methods for inference for rank based estimating equations will be addressed.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA057253-08
Application #
6328930
Study Section
Special Emphasis Panel (ZRG1-SNEM-5 (01))
Program Officer
Erickson, Burdette (BUD) W
Project Start
1992-07-01
Project End
2002-11-30
Budget Start
2000-12-01
Budget End
2001-11-30
Support Year
8
Fiscal Year
2001
Total Cost
$119,601
Indirect Cost
Name
Dana-Farber Cancer Institute
Department
Type
DUNS #
149617367
City
Boston
State
MA
Country
United States
Zip Code
02215
Gray, Robert J (2003) Weighted estimating equations for linear regression analysis of clustered failure time data. Lifetime Data Anal 9:123-38
Li, Yi; Betensky, Rebecca A; Louis, David N et al. (2002) The use of frailty hazard models for unrecognized heterogeneity that interacts with treatment: considerations of efficiency and power. Biometrics 58:232-6
Gray, Robert J; Li, Yi (2002) Optimal weight functions for marginal proportional hazards analysis of clustered failure time data. Lifetime Data Anal 8:5-19
Li, Yi; Ryan, Louise (2002) Modeling spatial survival data using semiparametric frailty models. Biometrics 58:287-97
Gray, R J (2000) Estimation of regression parameters and the hazard function in transformed linear survival models. Biometrics 56:571-6
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Parzen, M; Lipsitz, S R (1999) A global goodness-of-fit statistic for Cox regression models. Biometrics 55:580-4
Lipsitz, S R; Ibrahim, J G; Fitzmaurice, G M (1999) Likelihood methods for incomplete longitudinal binary responses with incomplete categorical covariates. Biometrics 55:214-23
Lipsitz, S R; Ibrahim, J G (1998) Estimating equations with incomplete categorical covariates in the Cox model. Biometrics 54:1002-13
Lipsitz, S R; Dear, K B; Laird, N M et al. (1998) Tests for homogeneity of the risk difference when data are sparse. Biometrics 54:148-60

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