This project focuses on developing new statistical methods, and applying new and existing statistical techniques, to analyze data from laboratory animal studies. In particular, special emphasis is placed on the type of data arising in the National Toxicology Program (NTP) carcinogenesis bioassays. With respect to my own research time on this project, much of it is spent working on new solutions to problems viewed as important by NTP scientists. In addition, some of my research time is devoted to applying these new procedures to the data which originally motivated the work on methods development. Finally, the remainder of my research time is spent applying existing statistical procedures, sometimes in novel ways, to data collected by collaborators here at the National Institute of Environmental Health Sciences (NIEHS). Some of my collaborative research is summarized in Joseph Haseman's project entitled 'NIEHS Statistical Consulting Service' (Z01-ES-45005). Otherwise, the rest of my research, as well as the research of several others who have contributed to my project, relate to the development of new methods in three areas: (1) survival-adjusted trend tests for tumor incidence, (2) Bayesian analyses of shape-constrained hazard functions, and (3) inferences about parameters subject to inequality restrictions. These areas of research are described in more detail below.

Agency
National Institute of Health (NIH)
Institute
National Institute of Environmental Health Sciences (NIEHS)
Type
Intramural Research (Z01)
Project #
1Z01ES045007-07
Application #
6837555
Study Section
(BB)
Project Start
Project End
Budget Start
Budget End
Support Year
7
Fiscal Year
2003
Total Cost
Indirect Cost
Name
U.S. National Inst of Environ Hlth Scis
Department
Type
DUNS #
City
State
Country
United States
Zip Code
Dinse, Gregg E; Peddada, Shyamal D (2011) Comparing tumor rates in current and historical control groups in rodent cancer bioassays. Stat Biopharm Res 3:97-105
Wang, Qihua; Dinse, Gregg E (2011) Linear regression analysis of survival data with missing censoring indicators. Lifetime Data Anal 17:256-79
Dinse, Gregg E; Peddada, Shyamal D; Harris, Shawn F et al. (2010) Comparison of NTP historical control tumor incidence rates in female Harlan Sprague Dawley and Fischer 344/N Rats. Toxicol Pathol 38:765-75
Song, Xinyuan; Sun, Liuquan; Mu, Xiaoyun et al. (2010) Additive hazards regression with censoring indicators missing at random. Can J Stat 38:333-351
Dunson, David B; Dinse, Gregg E (2002) Bayesian models for multivariate current status data with informative censoring. Biometrics 58:79-88
Dinse, G E; Umbach, D M; Sasco, A J et al. (1999) Unexplained increases in cancer incidence in the United States from 1975 to 1994: possible sentinel health indicators? Annu Rev Public Health 20:173-209