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Pamela Ann Shaw, Ph.D.

Pamela Ann Shaw, Ph.D.

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Assistant Professor of Biostatistics in Biostatistics and Epidemiology at the Hospital of the University of Pennsylvania
Department: Biostatistics and Epidemiology
Graduate Group Affiliations

Contact information
Department of Biostatistics and Epidemiology
University of Pennsylvania Perelman School of Medicine
606 Blockley Hall
423 Guardian Drive
Philadelphia, PA 19104
Office: 215-898-9599
Fax: 215-573-4865
BA (French and Mathematics)
Grinnell College, Grinnell, IA, 1990.
MS (Mathematics)
University of Washington, Seattle, WA, 1994.
PhD (Biostatistics)
University of Washington, Seattle, WA, 2006.
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Description of Research Expertise

Dr. Shaw joined the faculty at the University of Pennsylvania after seven years at the National Institute of Allergy and Infectious Diseases. Her statistical research interests include methodology to address covariate and outcome measurement error, the evaluation of diagnostic tests, and design of medical studies. She has a particular interest in the use of biomarker studies to calibrate exposure measurements in the fields of nutritional and physical activity epidemiology and environmental health. More recently she has developed a novel rank test to evaluate a composite survival outcome in the presence of interval censoring. She has continued collaborations in a variety of epidemiologic and clinical studies, with a focus on infectious and chronic disease.

Selected Publications

Shaw PA, Proschan MA: Null but not void: considerations for hypothesis testing. Statistics in Medicine 32(2): 196-205, 2013.

Shepherd B, Shaw PA, Dodd L: Using audit information to adjust parameter estimates for data errors in clinical trials. Clinical Trials 9(6): 721-729, December 2012.

Lee M, Lee J, Carroll MW, Choi H, Min S, Song T, Via LE, Goldfeder LC, Kang E, Jin B, Park H, Kwak H, Kim H, Heon HS, Jeong I, Joh JS, Chen RY, Olivier KN, Shaw PA, Follman D, Song SD, Lee JK, Lee DH, Kim CT, Dartois V, Park SK, Cho SN, Barry CE: Linezolid for treatment of chronic extensively drug-resistant tuberculosis. New England Journal of Medicine 367(16): 1508-1518, October 2012.

Browne SK, Burbelo PD, Chetchotisakd P, Suputtamongkol Y, Kiertiburanakul S, Shaw PA, Kirk JL, Jutivorakool K, Zaman R, Ding L, Hsu AP, Patel SY, Olivier KN, Lulitanond V, Mootsikapun P, Anunnatsiri S, Angkasekwinai N, Sathapatayavongs B, Hsueh PR, Shieh CC, Brown MR, Thongnoppakhun W, Claypool R, Sampaio EP, Thepthai C, Waywa D, Dacombe C, Reizes Y, Zelazny AM, Saleeb P, Rosen LB, Mo A, Iadarola M, Holland SM: Adult onset immunodeficiency in Thailand and Taiwan. New England Journal of Medicine 367(8): 725-734, August 2012.

Shaw PA, Prentice RL: Hazard ratio estimation for biomarker-calibrated dietary exposures. Biometrics 68(2): 397-407, June 2012.

Proschan MA, Shaw PA: Asymptotics of Bonferroni for dependent normal test statistics. Statistics and Probability Letters 81: 739-748, July 2011.

Lumley T, Shaw PA, Dai JY: Connections between survey calibration estimators and semiparametric models for incomplete data. International Statistical Review 79(2): 200-220, 2011.

Fay MP, Shaw PA: Exact and asymptotic weighted logrank tests for interval censored data: the interval R package. Journal of Statistical Software 36(2): 1-34, August 2010.

Shaw PA, Pepe MS, Alonzo TA, Etzioni R: Methods for assessing improvement in specificity when a biomarker is combined with a standard screening test. Statistics in Biopharmaceutical Research 1(1): 18-25, February 2009.

Neuhouser ML, Tinker L, Shaw PA, Schoeller D, Bingham SA, Van Horn L, Beresford SA, Caan B, Thomson C, Satterfield S, Kuller L, Heiss G, Smit E, Sarto G, Ockene J, Stefanik ML, Assaf A, Runswick S, Prentice L: Use of recovery biomarkers to calibrate nutrient consumption self-reports in the Women's Health Initiative. American Journal of Epidemiology 167(10): 1247-1259, May 2008.

Shaw PA, Etzioni R, Zeliadt SB, Mariotto A, Karnofski K, Penson DF, Weiss NS, Feuer EJ: An ecologic study of prostate-specific antigen screening and prostate cancer mortality in nine geographic areas of the United States. American Journal of Epidemiology 160(11): 1059-1069, December 2004.

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Last updated: 09/18/2015
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