http://www-hsc.usc.edu/~stram/imgdan1f.jpg
Professor
Division of Biostatistics and Genetic Epidemiology
Department of Preventive Medicine
Keck School of Medicine

USC
University of Southern California
2001 North Soto Street
SSB Room 202D
Los Angeles, California
90089-9234

Phone: 323-442-1817
Email Dan Stram

Degrees
B.A. (Mathematics), Tufts University, 1975
Ph.D. (Statistics), Temple University, 1983

Post-doc. (Biostatistics), Harvard School of Public Health, 1984-86

Design, Analysis, and Interpretation of Genome-Wide Association Scans
Design, Analysis, and Interpretation of Genome-Wide Association Scans

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Table of Contents

 


Selected Publications

Thomas_Stram_Dwyer_1993

 

Links and Software

  1. Supplemental Material for Stram 2013: Design, Analysis, and Interpretation of Genome-wide Association Studies
  2. Haplotype tagging SNP (htSNP) selection.  Implements the techniques (Stram et al 2003) used by the MEC for htSNP selection
  3. Supplemental material for: Analysis of repeated ordinal data, JASA 1988 by Daniel Stram, L.J. Wei, and James Ware
  4. The original REML program:  as implemented by Nan Laird, Nancy Cook, Daniel Stram: EM algorithm for REML estimation of the 2-level random effects model described by Laird and Ware (Biometrics, 1982)

Positions

2013-current      Member, National Committee on Radiation Protection and Measurements

2012-current      Member, Nuclear and Radiation Studies Board, National Academy of Sciences

2012-2013      Chair, U.S. Environmental Protection Agency, Radiation Advisory Committee

2012-current      Member, U.S. Environmental Protection Agency Science Advisory Board

2009-current      Member, International Commission on Radiological Protection, Committee C1 Epidemiology

2007-2012           Member, EPIC Study Section (NCI/NIH)

2006-2013     Member, U.S. Environmental Protection Agency, Radiation Advisory Committee

 

Honors

2009                     Elected Fellow of the American Statistical Association

 

Research Interests

I am a biostatistician with many interests and publications in areas relevant to the epidemiology of cancer and other diseases including methods in survival analysis, longitudinal analysis, meta-analysis, measurement error, genetic association studies and gene x environment interactions. I am the senior statistician on the genome-wide cancer association studies centered around the Multiethnic Cohort Study at the University of Southern California and University of Hawaii. In addition I lead or collaborate in the analysis of other large scale studies of genes and gene by environment interactions in relation to risk of common cancers and type 2 diabetes. I have longstanding research interests in radiation epidemiology and related statistical issues starting from my work performed in the late 1980s in Hiroshima for the A-bomb study; these interests include instrumental variables analysis of multiple biomarkers of exposure and related measurement error methods, and incorporation of dosimetric uncertainty into risk estimation. I have analyzed data from the Colorado Plateau uranium miners cohort, from the ongoing WECARE study, and have participated in numerous National Academy of Science reports related to radiation epidemiology and dosimetry. Most recently I am participating in the Mayak Workers Cohort Study, which is a cohort of radiation workers organized by the Southern Urals Biophysics Institute in Ozyorsk, Russia.  I am a past chair of the US EPA's Radiation Advisory Committee, and I serve on the US-EPA's Scientific Advisory Board.

 

Teaching
PM520  Advanced Computational Statistics

PM599 Design, Analysis, and Interpretation of Genome-Wide Association Studies.    

Selected Publications

1.      Thomas DC, Stram DO, Dwyer J. Exposure Measurement Error:  Influence on exposure-disease relationships and methods of correction. Annals of Public Health, 14:69-93, 1993. PMID: 8323607

2.      Stram DO, Langholz B, Huberman M, Thomas DC.  Correcting for exposure measurement error in a reanalysis of lung cancer mortality for the Colorado Plateau uranium miners cohort. Health Physics 77:265-275, 1999. PMID: 10456497

3.      Stram DO, Pearce CL, Bretsky P, Freedman M, Hirschhorn JN, Altshuler D, Kolonel LN , Henderson BE, Thomas DC. Modeling And E-M Estimation of Haplotype-Specific Relative Risks from Genotype Data for a Case-Control Study of Unrelated Individuals. Human Heredity 55:179-190, 2003.

4.      Stram, D., and Kopecky, K. Power and uncertainty analysis of epidemiological studies of radiation-related disease risk where dose estimates are based upon a complex dosimetry system; Some observations, Radiat Res 160, 408-417, 2013. PMID: 12968933

5.      Haiman CA, Stram DO, Wilkens LR, Pike MC, Kolonel LN, Henderson BC, Le Marchand L. Ethnic and racial differences in smoking-related lung cancer risk. The Multiethnic Cohort NEJM, 354:333-42, 2006 PMID: 16436765

6.      Wang H, Thomas DC,  Pe’er I,  Stram DO, Optimal two-stage genotyping designs for genome-wide association scans. Genetic Epidemiology, 30:356-368, 2006 PMID: 16607626

7.      Rakovski CS, Stram DO. A kinship-based modification of the Armitage trend test to address hidden population structure and small differential genotyping errors. PLoS One 4:e5825, 2009. PMC2688076

8.      Chen GK, Millikan RC, John EM, Ambrosone CB, Bernstein L, Stram DO (2010) The Potential for Enhancing the Power of Genetic Association Studies in African Americans Through The Reuse of Existing Genotype Data. PLoS Genetics e1001096, 2010. PMC2932740

9.      Stram DO, Liu Y, Henderson KD, Sullivan-Halley J, Luo J, Saxena T, Reynolds P, Chang E T, Neuhausen S L, Horn-Ross PL, Bernstein L, and Ursin G.  Age-specific effects of hormone therapy use on overall mortality and ischemic heart disease mortality among women in the California Teachers Study. Menopause 18:153-261, 2011. PMC3253313

10.   Stram, DO. Design, Analysis, and Interpretation of Genome-wide Association Studies, Springer, New York, Heidelberg, Dordrecht, London, 2013