Pamela Ann Shaw, Ph.D.

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Associate 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, Epidemiology and Informatics
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

Keogh RH, Shaw PA, Gustafson P, Carroll RJ, Deffner V, Dodd KW, Küchenhoff H, Tooze JA, Wallace MP, Kipnis V,Freedman LS : STRATOS guidance document on measurement error and misclassification of variables in observational epidemiology: Part I – Basic theory, validation studies and simple methods of adjustment. Statistics in Medicine 39(16): 2197-2231, Jul 2020.

Shaw PA, Gustafson P, Carroll RJ, Deffner V, Dodd KW, Keogh RH, Kipnis V, Tooze JA, Wallace MP, Küchenhoff H, Freedman LS: STRATOS guidance document on measurement error and misclassification of variables in observational epidemiology: Part II –More complex methods of adjustment and advanced topics Statistics in Medicine 39(16): 2232-2263, Jul 2020.

Shaw PA, McMurray R, Butte N, Sotres-Alvarez D, Sun H, Stoutenberg M, Evenson KR, Wong WW, Moncrieft AE, Sanchez-Johnsen LAP, Carnethon MR, Arredondo E, Kaplan RC, Matthews CE, Mossavar-Rahmani Y: Calibration of activity-related energy expenditure in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). Journal of Science and Medicine in Sport 22(3): 300-306, Mar 2019.

Xu R, Mehrotra D, Shaw PA.: Incorporating baseline measurement into the analysis of crossover trials with time-to-event endpoints Statistics in Medicine 37(23): 3280-3292, Oct 2018 Notes: doi: 10.1002/sim.7834. [Epub ahead of print]

Shaw PA: Use of Composite Outcomes To Assess Risk-Benefit in Clinical Trials. Clinical Trials 15(4): 352–358, Aug 2018.

Oh E, Shepherd BE, Lumley T, Shaw PA: Considerations for analysis of time-to-event outcomes measured with error: Bias and correction with SIMEX. Statistics in Medicine 37(8): 1276-1289, Apr 2018.

Oyama MA, Ellenberg SS, Shaw PA: Clinical trials in veterinary medicine: a new era brings new challenges. Journal of Veterinary Internal Medicine 31(4): 970-978, Jul 2017.

Proschan MA, Shaw PA: Essentials of Probability Theory for Statisticians. CRC Press Mar 2016.

Anderson GL, Burns CJ, Larsen J, Shaw PA: Use of administrative data to increase the practicality of clinical trials: Insights from the Women’s Health Initiative. Clinical Trials 13(5): 519-26, Oct 2016.

Teachey DT*, Lacey SF*, Shaw PA*, Melenhorst JJ*, Maude SL, Frey N, Pequignot E, Gonzalez VE, Chen F, Finklestein J, Barrett DM, Weiss SL, Fitzgerald JC, Berg RA, Aplenc R, Callahan C, Rheingold SR, Zheng Z, Rose-John S, White JC, Nazimuddin F, Wertheim G, Levine BL, June CH, Porter DL, Grupp SA: Identification of Predictive Biomarkers for Cytokine Release Syndrome after Chimeric Antigen Receptor T-cell Therapy for Acute Lymphoblastic Leukemia. Cancer Discovery 6(6): 664-679, Jun 2016 Notes: Equally contributed.

Shaw PA, Fay MP: A rank test for bivariate event time outcomes when one event is a surrogate. Statistics in Medicine 35(19): 3413-23, Aug 2016.

Wang L, Shaw PA, Mathelier HM, Kimmel SE, French B: Evaluating risk-prediction models using data from electronic health records. Annals of Applied Statistics 10(1): 286-304, Mar 2016.

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, Dec 2012.

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

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Last updated: 11/30/2020
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