A Novel Approach to Evaluate Excess of Mesothelioma Deaths in a Small Population of Former Nuclear Workers
A matched case control analysis was used to evaluate the cluster of mesothelioma cases in association with cumulative external radiation exposures. First, all causes of USTUR Registrants’ deaths were classified into 4 groups: mesothelioma (Meso), lung cancers (LC), other cancers (OC), and non-cancers (NC). Second, for each case of mesothelioma, controls were identified in the LC (2 ~ 3 controls per case), OC (2 ~ 5 controls per case), and NC (2 ~ 5 controls per case) groups matching gender (male), race (white), years of employment (± 2.5 years), first hire (± 5 years), birth year (±5), and age at death (±5 years). Third, a paired t-test (one sided) was used to examine whether there were statistically significant differences in cumulative external radiation doses between cases and respective controls in LC, OC, and NC groups. In practice, a permutation paired t-test (PPTT) was developed to run the significance tests based on a large number of paired t-tests. For each paired t-test, one control for each case was randomly selected from multiple (2 ~5 controls per case) matching controls for the case. This procedure was repeated many times, and the percentage of statistically significant (p ≤ 0.05) paired t-tests were counted. Inference was reached based on whether or not 5% or more of PPTTs were statistically significant.
PPTTs were not significant for Meso vs. LC and Meso vs. OC; PPTTs were significant, however, for Meso vs. NC with larger than 9.0% of significant paired t-tests. A follow up conditional logistic regression for the Meso and NC groups showed a non-statistically significant odd ratio (OR) of 1.001 (95% CI: 0.997 ~ 1.006) between cumulative external radiation doses and mesothelioma. The matched case control analysis suggested that the excess of mesothelioma deaths among USTUR Registrants was not associated with cumulative external radiation exposures.
Learning Areas:Biostatistics, economics
Environmental health sciences
Occupational health and safety
Public health or related research
Evaluate an excess of a rare disease in a small population
Keyword(s): Epidemiology, Statistics
Qualified on the content I am responsible for because: I have been doing research, managing research programs/contracts/grants in environmental and occupation health at various Federal government agencies for over 15 years.
Any relevant financial relationships? No
I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.