In studies of AIDS and cancer, analysis is based on survival as well as disease progression. Patients are monitored for clinical events and longitudinally collected laboratory and clinical information which indicate disease progression... The goal of this research is the development of a useful approach to analyzing multiple outcomes of progression from a study with missing and censored data. 1) PI will develop a global test based on survival and measures of progression including possibly censored clinical events and longitudinal outcomes, (which may be missing). The test will be sensitive to differences in survival and progression, and can be applied for interim monitoring of a study. 2.) Methodology will be developed for modeling the relationship between two clinical events indicating progression, when one of the events may be interval censored. For this, a method will be developed for applying the proportional hazards model for a time-varying interval- censored covariate. 3.) A method will be developed for modeling the relationship between (possibly missing) longitudinal measures of progression and a (possibly censored) clinical event of progression, by applying the methods of isotonic regression to the estimation of functions in a generalized additive model.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA074302-03
Application #
2895961
Study Section
Special Emphasis Panel (ZRG7-STA (01))
Program Officer
Erickson, Burdette (BUD) W
Project Start
1997-07-15
Project End
2000-06-30
Budget Start
1999-07-01
Budget End
2000-06-30
Support Year
3
Fiscal Year
1999
Total Cost
Indirect Cost
Name
Massachusetts General Hospital
Department
Type
DUNS #
City
Boston
State
MA
Country
United States
Zip Code
02199
Schoenfeld, David A; Rajicic, Natasa; Ficociello, Linda H et al. (2011) A test for the relationship between a time-varying marker and both recovery and progression with missing data. Stat Med 30:718-24
Finkelstein, Dianne M; Wang, Rui; Ficociello, Linda H et al. (2010) A score test for association of a longitudinal marker and an event with missing data. Biometrics 66:726-32
Rajicic, Natasa; Finkelstein, Dianne M; Schoenfeld, David A et al. (2009) Analysis of the relationship between longitudinal gene expressions and ordered categorical event data. Stat Med 28:2817-32
Schoenfeld, David A; Hui Zheng; Finkelstein, Dianne M (2009) Bayesian design using adult data to augment pediatric trials. Clin Trials 6:297-304
Matthews, Abigail G; Finkelstein, Dianne M; Betensky, Rebecca A (2008) Analysis of familial aggregation studies with complex ascertainment schemes. Stat Med 27:5076-92
Kerber, Richard A; Amos, Christopher I; Yeap, Beow Y et al. (2008) Design considerations in a sib-pair study of linkage for susceptibility loci in cancer. BMC Med Genet 9:64
Rao, Sowmya R; Schoenfeld, David A (2007) Survival methods. Circulation 115:109-13
Matthews, Abigail G; Finkelstein, Dianne M; Betensky, Rebecca A (2007) Multivariate logistic regression for familial aggregation in age at disease onset. Lifetime Data Anal 13:191-209
Zhang, Zhigang; Sun, Liuquan; Sun, Jianguo et al. (2007) Regression analysis of failure time data with informative interval censoring. Stat Med 26:2533-46
Matthews, Abigail G; Betensky, Rebecca A; Anton-Culver, Hoda et al. (2006) Analysis of co-aggregation of cancer based on registry data. Community Genet 9:87-92

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