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Ph.D. (1997) Harvard University
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Sally W. Thurston
Assistant Professor of Biostatistics
Assistant Professor of Oncology
Contact Information:
- University of Rochester
Dept of Biostatistics and Computational Biology
601 Elmwood Avenue Box 630
Rochester, New York 14642
Office: MRBX G-11311E
Phone: (585) 275-2406
Fax: (585) 273-1031
E-mail: Thurston@bst.rochester.edu
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Research Interests
Much of my statistical research is motivated by problems arising in environmental and occupational health. Research interests include modeling multiple outcomes, correction for measurement error bias, exposure assessment, modeling multiple correlated exposures, non-parametric smoothing, Bayesian inference, informative prior specification, and using biomarkers to improve cancer risk estimates.
I am currently the director of the Design, Biostatistics, and Clinical Research Ethics key function of Rochester's Clinical and Translational Sciences Institute (http://www.urmc.rochester.edu/ctsi/overview/index.cfm), and am the Biostatistics Core leader for the Center for Biophysical Assessment and Risk Management Following Irradiation (http://radonc.urmc.rochester.edu/U19/u19homepage.html). I am a member of Rochester's Environmental Health Sciences Center (http://www2.envmed.rochester.edu/envmed/EHSC/index.html), and collaborate closely with several faculty in Environmental Medicine including as a lead statistician for the Seychelles Child Development Study.
I received an A.B. in Biology from Oberlin College, an M.S. in Natural Resources from Cornell University, and a Ph.D. in Statistics from Harvard University. Prior to coming to Rochester in 2002, I was a postdoctoral fellow and then a research associate in Biostatistics at Harvard School of Public Health. I am a member of the American Statistical Association, the International Biometric Society, the American Association for Cancer Research, and an elected member of the International Statistical Institute.
Selected Publications
- Wiencke JK, Thurston SW, Kelsey KT, Varkonyi A, Wain JC, Mark EJ, and
Christiani DC (1999). Early Age at Smoking Initiation and Tobacco
Carcinogen DNA Damage in the Lung. Journal of the National Cancer
Institute 91:614-619.
- Thurston SW, Ryan L, Christiani DC, Snow R, Carlson J, You L, Cui S,
Ma G, Wang L, Huang Y, and Xu X. (2000). Petrochemical Exposure and
Menstrual Disturbances. American Journal of Industrial Medicine
38:555-564.
- Thurston SW, Wand MP, and Wiencke JK (2000). Negative Binomial
Additive Models. Biometrics 56:139-144.
- Zhou W, Thurston SW, Liu G, Xu L-L, Miller DP, Wain JC, Lynch TJ, Su
L, and Christiani DC (2001). The Interaction between Microsomal
Epoxide Hydrolase Polymorphisms and Cumulative Cigarette Smoking in
Different Histological Subtypes of Lung Cancer. Cancer Epidemiology
Biomarkers & Prevention 10:461-466.
- Thurston SW (2001). DNA adducts. In: El-Shaarawi AH and Piegorsch WW
editors, Encyclopedia of Environmetrics, John Wiley and Sons, England,
Vol 1:561-562.
- Thurston SW (2001). Biomarkers. In: El-Shaarawi AH and Piegorsch WW
editors, Encyclopedia of Environmetrics, John Wiley and Sons, England,
Vol 1:192-196.
- Zhou W, Liu G, Thurston SW, Xu LL, Miller DP, Wain JC, Lynch TJ, Su L,
and Christiani DC (2002). Genetic Polymorphisms of
N-acetyltranferase-2 and Microsomal Epoxide Hydrolase and Cumulative
Cigarette Smoking in Lung Cancer. Cancer Epidemiology Biomarkers &
Prevention 11: 15-21.
- Zhou W, Liu G, Miller DP, Thurston SW, Xu LL, Wain JC, Lynch TJ, Su L,
and Christiani DC (2002). Gene-environment interaction for the ERCC2
polymorphisms and cumulative cigarette smoking exposure in lung
cancer. Cancer Research 62:1377-1381.
- Thurston SW, Eisen EA, and Schwartz J. (2002). Smoothing in Survival
Models, Applied to Workers Exposed to Several Metalworking Fluids.
Epidemiology 13:685-692.
- Thurston SW, Spiegelman D, and Ruppert D. (2003). Equivalence of
regression calibration methods in main study / external validation
study designs. Journal of Statistical Planning and Inference 113:527-539.
- Ryan L, Huang W, Thurston SW, Kelsey KT, Wiencke JK, and
Christiani DC (2004). On the use of biomarkers for environmental health
research. Statistical Methods in Medical Research 13:1-19.
- Eisen EA, Agalliu I, Thurston SW, Coull BA, Checkoway H (2004). Smoothing methods applied to occupational cohort studies: illustrated by penalized splines. Occupational & Environmental Medicine 61(10):854-60.
- Thurston SW, Williams PL, Hauser R, Hu H, Hernandez-Avila M,
and Spiegelman D (2005). A comparison of regression calibration approaches
for designs with internal validation data. Journal of
Statistical Planning and Inference 131:175-190.
- Thurston SW, Liu G, Miller DP, and Christiani DC (2005). Modeling lung cancer risk in case-control studies using a new dose metric of smoking. Cancer Epidemiology, Biomarkers and Prevention 14:2296-2302 (with commentary).
- Govindarajulu US, Spiegelman D, Thurston SW, Ganguli B, Eisen EA (2007). Comparing smoothing techniques in Cox models for exposure-response relationships. Statistics in Medicine 26:3735-3752.
- Stokes-Riner A, Thurston SW, Brazil C, Guzick D. Liu F, Overstreet JW, Wang C, Sparks A, Redmon JB, Swan SH (2007). One semen sample or two? Insights from a study of fertile men. Journal of Andrology 28:638-643.
- Thurston SW, Bovet P, Myers GJ, Davidson PW, Georger LA, Shamlaye C, Clarkson TW (2007). Does prenatal methylmercury exposure from fish consumption affect blood pressure in childhood? NeuroToxicology 28:924-930.
- Elder A, Yang H, Gwiazda R, Teng X, Thurston S, He H, Oberdorster G (2007). Testing nanomaterials of unknown toxicity: an example based on platinum nanoparticles of different shapes. Advanced Materials 19:3124-3129.
- Huang LS, Myers GJ, Davidson PW, Cox C, Xiao F, Thurston SW, Cernichiari E, Shamlaye CF, Sloane-Reeves J, Georger L, Clarkson TW (2007). Is susceptibility to prenatal methylmercury exposure from fish consumption non-homogeneous? Tree-structured analysis for the Seychelles Child Development Study. NeuroToxicology (in press).
- Liang H, Thurston SW, Ruppert D, Apanasovich T, Hauser
R. (2008). Additive Partial Linear Models with Measurement Error.
Biometrika (accepted).
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