||5R29CA078314-05 Interpret this number
||Topics in Semiparametric Analysis of Survival Data
DESCRIPTION (Adapted from Applicant's abstract): The objective of this
research is to develop and apply new estimation, testing and regression
procedures for analyzing left-truncated and right-censored survival data
in the context of two medical studies, with the following aims: to
develop more efficient and more flexible biostatistical methods that will
be generally useful in research on cancer as well as in other research
areas: and to apply the developed methods towards analysis of effects of
bone marrow transplants (BMTAX) and comparison of BMT with traditional
chemotherapy as a postremission treatment in patients with leukemia, and
towards a study of efficacy of polyvalent melanoma cell vaccine in post-
operative melanoma patients. The proposed research will be divided into
three projects according to the following topics for analysis of left-
truncated and right-censored data: 1) semiparametric estimation of
survival probabilities: 2) nonparametric and semiparametric two-sample
tests; and 3) semiparametric and nonparametric additive risk
transformation models for survival regression. Semiparametric maximum
likelihood estimation will be studied in project 1 and the developed
estimate is expected to be more efficient that the traditional product
limit estimate. In project 2, a quantily comparison function based on the
percentile-percentile plot will be used to derive nonparametric and
semiparametric two-sample tests which are expected to be more powerful
than logrank type tests under crossing hazards alternatives. Additive
risk transformation models will be introduced and studied in project 3,
which will provide useful alternatives to the Cox proportional hazards
mode when the proportional hazards assumption does not hold.
Radiotherapy for oral cancer as a risk factor for second primary cancers.
, Ritz B.
, Le A.D.
, Li G.
, Sankaranarayanan R.
, Zhang Z.F.
Cancer letters, 2005-04-08; 220(2), p. 185-95.