Abstract

Statistical inference in multistate survival analysis models is considered. Three projects are described: estimation in non-Markovian counting processes models; prediction methods in multistate models; testing model assumptions in Markov chains and Markov renewal processes. Applications towards modeling of disease progression in melanoma patients and towards analysis of effects of bone marrow transplantation in leukemia patients are discussed.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA065595-06
Application #
6172348
Study Section
Special Emphasis Panel (ZRG7-STA (01))
Program Officer
Erickson, Burdette (BUD) W
Project Start
1995-05-20
Project End
2003-04-30
Budget Start
2000-05-01
Budget End
2003-04-30
Support Year
6
Fiscal Year
2000
Total Cost
$90,733
Indirect Cost

  Institution

Name
University of California Los Angeles
Department
Biostatistics & Other Math Sci
Type
Schools of Public Health
DUNS #
119132785
City
Los Angeles
State
CA
Country
United States
Zip Code
90095

  Publications

Gjertson, David W; Dabrowska, Dorota M; Cui, Xingping et al. (2002) Four causes of cadaveric kidney transplant failure: a competing risk analysis. Am J Transplant 2:84-93
Dabrowska, D M; Ho, W T (2000) Confidence bands for comparison of transition probabilities in a Markov chain model. Lifetime Data Anal 6:21-May
Dabrowska, D M; Elashoff, R M; Ho, W et al. (1998) Identifying predictive factors in melanoma progression. Oncol Rep 5:569-75
Goldstein, D R; Zhao, H; Speed, T P (1997) The effects of genotyping errors and interference on estimation of genetic distance. Hum Hered 47:86-100
Dabrowska, D M; Doksum, K A; Feduska, N J et al. (1992) Methods for comparing cumulative hazard functions in a semi-proportional hazard model. Stat Med 11:1465-76