Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA057253-05
Application #
2098004
Study Section
Special Emphasis Panel (ZRG7-SSS-1 (19))
Program Officer
Erickson, Burdette (BUD) W
Project Start
1992-07-01
Project End
1998-07-31
Budget Start
1996-08-01
Budget End
1997-07-31
Support Year
5
Fiscal Year
1996
Total Cost
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
Lipsitz, S R; Molenberghs, G; Fitzmaurice, G M et al. (2000) GEE with Gaussian estimation of the correlations when data are incomplete. Biometrics 56:528-36
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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