11/22/2009
 
Research Cores
 
Respiratory Effects
Cancer
Study Design
and Statistical Methodology
Exposure Assessment
Core Director:
Duncan Thomas
 
Core Members
Publication List
Statistical Research Grants
Goals & Objectives
Future Research Initiatives
 
 
Study Design and Statistical Methodology Research Core
Radiation
Prior to coming to USC, Dr. Stram spent two years at the Radiation Effects Research Foundation (RERF) in Hiroshima working on the analysis of the atomic bomb survivor studies, with particular emphasis on measurement error issues in the chromosome aberration studies; he remains active in this area through his own NIOSH grant on measurement error and as a member of the NAS Board on Radiation Epidemiology Research. We have recently published a reanalysis of the data on lung cancer Colorado plateau uranium miners, allowing for exposure measurement error (Stram et al, 1999ab), which showed that the strong "inverse dose rate" effect (lower risks for the same total dose when delivered at high intensity for a short period) was considerably reduced by this adjustment. We have also described the application of similar methods to the studies of cancer in Utah residents downwind of the Nevada Test Site (Thomas, 1999c) and the atomic bomb survivors (Deltour et al, 1999). Dr. Thomas was a member of the National Academy of Sciences Committee on the Biological Effects of Ionizing Radiation (BEIR V), primarily responsible for reanalysis of dose-response relationships in these data and using them for risk assessment; several methodological publications have resulted from this activity. He was also a member of the President's Advisory Committee on Human Radiation Experiments. We are currently collaborating with RERF investigators on the design of a family study nested within the life span cohort, aimed at studying the familiality of radiosensitivity. In addition to the RERF studies, Drs. Thomas and Preston-Martin have collaborated on a number of other radiation studies, many involving the development and application of novel statistical methods.