Daniel Stram, PhD
Professor of Population and Public Health Sciences
My research is on general biostatistical issues in epidemiology, and I am a long time collaborator on a number of important prospective (cohort) studies of cancer and other diseases. These include the Atomic Bomb Survivors Study, the Multiethnic Cohort Study, and the Children's Health Study. I participate in many other projects in the Preventive Medicine Department at USC. I have particular interest in measurement error issues in dosimetry for radiation epidemiology and in dietary assessment for nutritional epidemiology. I have recently begun working on association-based testing for the influence upon cancer risk of genomic variation in candidate genes using nested case-control studies within the MEC, with special emphasis on haplotype-based risk estimation and haplotype-tagging SNP selection. See the publications and software development list below, for further information.
Traffic-Related Air Pollution and Lung Cancer Incidence: The California Multiethnic Cohort Study.
Am J Respir Crit Care Med. 2022 Jun 1;. doi: 10.1164/rccm.202107-1770OC. Epub 2022 Jun 1. PubMed PMID: 35649154;
Prognostic utility of self-reported sarcopenia (SARC-F) in the Multiethnic Cohort.
J Cachexia Sarcopenia Muscle. 2022 Apr;13(2):987-1002. doi: 10.1002/jcsm.12916. Epub 2022 Jan 30. PubMed PMID: 35098697; PubMed Central PMCID: PMC8977971.
Outdoor ambient air pollution and breast cancer survival among California participants of the Multiethnic Cohort Study.
Environ Int. 2022 Mar;161:107088. doi: 10.1016/j.envint.2022.107088. Epub 2022 Jan 18. PubMed PMID: 35063793;
Predicted gene expression in ancestrally diverse populations leads to discovery of susceptibility loci for lifestyle and cardiometabolic traits.
Am J Hum Genet. 2022 Apr 7;109(4):669-679. doi: 10.1016/j.ajhg.2022.02.013. Epub 2022 Mar 8. PubMed PMID: 35263625; PubMed Central PMCID: PMC9069067.
Lung Cancer in the Mayak Workers Cohort: Risk Estimation and Uncertainty Analysis.
Radiat Res. 2021 Apr 1;195(4):334-346. doi: 10.1667/RADE-20-00094.1. PubMed PMID: 33471905;
- Statistical Methods in Genome-Wide Association Studies
- Experimental Designs