Most of Gregg Dinse's research focuses on developing improved statistical
methods for analyzing data from animal carcinogenicity studies and from
population-based cancer registries. Several of his recent projects include:
Investigating whether dietary restriction reduces prostate cancer
development if imposed after tumor onset.
Adapting order-restricted inference techniques to develop an improved
alternative to a conventional survival-adjusted quantal response test.
Extending our new survival-adjusted quantal response test so that it
incorporates data from historical control animals.
Using kernel smoothing techniques to estimate the hazard function
when some cause-of-death indicators are missing at random.
Adjusting for covariates in hazard regression analysis when censoring
indicators are missing at random.
Summarizing log-linear time trends in cancer incidence and mortality
rates for selected cancer groupings in the United States.
Assessing sex and race differences in age-period-cohort analyses of
cancers not related to tobacco, screening, or HIV.
Comparing incidence rates of non-Hodgkin's lymphoma in the
Pennsylvania and SEER registries with respect to demographic patterns and
temporal trends.
Jointly modeling animal growth and tumor onset to separate the direct
effect of treatment on tumor incidence from its indirect effect via changes in
body weight.
Improving the efficiency of inferences about age-specific hazard rates
subject to shape constraints.
Selected Publications
Suttie, AW, Dinse, GE, Nyska, A, Moser, GJ, Goldsworthy, TL, and Maronpot,
RR: An investigation of the effects of late-onset dietary restriction on
prostate cancer development in the TRAMP mouse. Toxicologic Pathology
33: 386-397, 2005.
Peddada, SD, Dinse, GE, and Haseman, JK: A survival-adjusted quantal
response test for comparing tumor incidence rates. Journal of the Royal
Statistical Society, Series C 54: 51-61, 2005.
Peddada, SD, Dinse, GE, and Kissling, GE: Incorporating historical control
data when comparing tumor incidence rates. Journal of the American
Statistical Association 102: 1212-1220, 2007.
Wang, QH, Dinse, GE, and Liu, C: Hazard function estimation with cause-
of-death data missing at random (submitted).
Wang, QH and Dinse, GE: Regression analysis with censoring indicators
missing at random (submitted).
Han, YY, Davis, DL, Weissfeld, JL, Umbach, DM, and Dinse, GE:
Generational risks for selected cancer groupings in the United States
(submitted).
Han, YY, Dinse, GE, Umbach, DM, Davis, DL, and Weissfeld, JL: Age-
period-cohort analysis of cancers not related to tobacco, screening, or HIV:
Sex and race differences (submitted).
Han, YY, Davis, DL, Umbach, DM, and Dinse, GE: Non-Hodgkin's
lymphoma incidence: Demographic patterns and temporal trends in
Pennsylvania and SEER registries (in preparation).
Dinse, GE and Dunson, DB: Causal inferences in carcinogenicity studies (in
preparation).
Dunson, DB and Dinse, GE: Bayesian analysis of constrained hazard
functions (in preparation).
(246 KB) P.O. Box 12233
|