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Gregg E. Dinse

Biostatistics Branch

Gregg E. Dinse, Ph.D.
Gregg E. Dinse, Sc.D.
Principal Investigator

Tel (919) 541-4931
Fax (919) 541-4311
Curriculum Vitae (dinse-cv.pdf)  Download Adobe Reader (246 KB)
P.O. Box 12233
Mail Drop A3-03
Research Triangle Park, North Carolina 27709
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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

  1. 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.
  2. 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.
  3. 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.
  4. Wang, QH, Dinse, GE, and Liu, C: Hazard function estimation with cause- of-death data missing at random (submitted).
  5. Wang, QH and Dinse, GE: Regression analysis with censoring indicators missing at random (submitted).
  6. Han, YY, Davis, DL, Weissfeld, JL, Umbach, DM, and Dinse, GE: Generational risks for selected cancer groupings in the United States (submitted).
  7. 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).
  8. 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).
  9. Dinse, GE and Dunson, DB: Causal inferences in carcinogenicity studies (in preparation).
  10. Dunson, DB and Dinse, GE: Bayesian analysis of constrained hazard functions (in preparation).

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