Emily  Zabor,  PhD

Emily Zabor, PhD

Assistant Staff

Lerner Research Institute, 9500 Euclid Avenue, Cleveland, Ohio 44195
Location: -
Email: zabore2@ccf.org

 


My primary research interests relate to statistical methods for retrospective data analyses and epidemiologic research. My dissertation research focused on development of a statistical method to identify biologic subtypes of disease that differ with respect to risk factors for the disease, a concept known as etiologic heterogeneity. This methodology can be used to identify subtypes of disease with particular risk factors, which could then be used in screening efforts, for development of targeted therapies, or to improve power when planning future epidemiologic studies of the disease. The method has been applied to identify subtypes of breast cancer, kidney cancer, and melanoma. Prior to joining Cleveland Clinic, I worked as a research biostatistician at Memorial Sloan Kettering Cancer Center for nine years, with a focus on collaborative clinical research in genitourinary and breast cancers.


A comprehensive list of my publications can be found on my Google Scholar page. Selected methodologic and collaborative publications in several areas are detailed below.

Publications related to the study of etiologic heterogeneity:

  1. Zabor, E. C. (2019). riskclustr: Functions to Study Etiologic Heterogeneity. Journal of Open Source Software, 4(35), 1269. https://doi.org/10.21105/joss.01269  

  2. Zabor, E. C., & Begg, C. B. (2017). A comparison of statistical methods for the study of etiologic heterogeneity. Stat Med, 36(25), 4050-4060. https://doi.org/10.1002/sim.7405

  3. Mauguen, A., Zabor, E. C., Thomas, N. E., Berwick, M., Seshan, V. E., & Begg, C. B. (2017). Defining Cancer Subtypes With Distinctive Etiologic Profiles: An Application to the Epidemiology of Melanoma. J Am Stat Assoc, 112(517), 54-63. https://doi.org/10.1080/01621459.2016.1191499

  4. Begg, C. B., Rice, M. S., Zabor, E. C., & Tworoger, S. S. (2017). Examining the common aetiology of serous ovarian cancers and basal-like breast cancers using double primaries. Br J Cancer, 116(8), 1088-1091. https://doi.org/10.1038/bjc.2017.73

  5. Begg, C. B., Orlow, I., Zabor, E. C., Arora, A., Sharma, A., Seshan, V. E., Bernstein, J. L. (2015). Identifying Etiologically Distinct Sub-Types of Cancer: A Demonstration Project Involving Breast Cancer. Cancer Med, 4(9), 1432-1439. https://doi.org/10.1002/cam4.456

  6. Begg, C. B., Seshan, V. E., Zabor, E. C., Furberg, H., Arora, A., Shen, R., . . . Hsieh, J. J. (2014). Genomic investigation of etiologic heterogeneity: methodologic challenges. BMC Med Res Methodol, 14, 138. https://doi.org/10.1186/1471-2288-14-138

  7. Begg, C. B., Zabor, E. C. (2012). Detecting and exploiting etiologic heterogeneity in epidemiologic studies. Am J Epidemiol, 176(6), 512-518. https://doi.org/10.1093/aje/kws128

 

Publications related to retrospective data analysis methods:

  1. Zabor, E. C., Heller, G., Schwartz, L. H., Chapman, P. B. (2016). Correlating Surrogate Endpoints with Overall Survival at the Individual Patient Level in BRAFV600E-Mutated Metastatic Melanoma Patients Treated with Vemurafenib. Clin Cancer Res, 22(6), 1341-1347. https://doi.org/10.1158/1078-0432.CCR-15-1441

  2. Zabor, E. C., Gonen, M., Chapman, P. B., Panageas, K. S. (2013). Dynamic prognostication using conditional survival estimates. Cancer, 119(20), 3589-3592. https://doi.org/10.1002/cncr.28273

  3. Zabor, E. C., Coit, D., Gershenwald, J. E., McMasters, K. M., Michaelson, J. S., Stromberg, A. J., & Panageas, K. S. (2018). Variability in Predictions from Online Tools: A Demonstration Using Internet-Based Melanoma Predictors. Ann Surg Oncol, 25(8), 2172-2177. https://doi.org/10.1245/s10434-018-6370-4

  4. Moskowitz, C. S., Zabor, E. C., Jochelson, M. (2012). Breast imaging: understanding how accuracy is measured when lesions are the unit of analysis. Breast J, 18(6), 557-563. https://doi.org/10.1111/tbj.12009

 

Selected collaborative publications in breast and genitourinary cancers:

  1. Flanagan, M. R., Zabor, E. C., Stempel, M., Mangino, D. A., Morrow, M., & Pilewskie, M. L. (2019). Chemoprevention Uptake for Breast Cancer Risk Reduction Varies by Risk Factor. Ann Surg Oncol, 26(7), 2127-2135. https://doi.org/10.1245/s10434-019-07236-8

  2. Zabor, E. C., Furberg, H., Lee, B., Campbell, S., Lane, B. R., Thompson, R. H., Antonio, E. C., Noyes, S. L., Zaid, H., Jaimes, E. A.,Russo, P. (2018). Long-Term Renal Function Recovery following Radical Nephrectomy for Kidney Cancer: Results from a Multicenter Confirmatory Study. J Urol, 199(4), 921-926. https://doi.org/10.1016/j.juro.2017.10.027

  3. Romanoff, A., Zabor, E. C., Petruolo, O., Stempel, M., El-Tamer, M., Morrow, M., & Barrio, A. V. (2018). Does nonmetastatic inflammatory breast cancer have a worse prognosis than other nonmetastatic T4 cancers? Cancer, 124(22), 4314-4321. https://doi.org/10.1002/cncr.31757

  4. Romanoff, A., Zabor, E. C., Stempel, M., Sacchini, V., Pusic, A., & Morrow, M. (2018). A Comparison of Patient-Reported Outcomes After Nipple-Sparing Mastectomy and Conventional Mastectomy with Reconstruction. Ann Surg Oncol, 25(10), 2909-2916. https://doi.org/10.1245/s10434-018-6585-4

  5. Zabor, E. C., Furberg, H., Mashni, J., Lee, B., Jaimes, E. A., Russo, P. (2016). Factors Associated with Recovery of Renal Function following Radical Nephrectomy for Kidney Neoplasms. Clin J Am Soc Nephrol, 11(1), 101-107. https://doi.org/10.2215/CJN.04070415

  6. Hakimi, A. A., Furberg, H., Zabor, E. C., Jacobsen, A., Schultz, N., Ciriello, G., Mikklineni, N., Fiegoli, B., Kim, P. H., Voss, M. H., Shen, H., Laird, P. W., Sander, C., Reuter, V. E., Motzer, R. J., Hsieh, J. J., Russo, P. (2013). An epidemiologic and genomic investigation into the obesity paradox in renal cell carcinoma. J Natl Cancer Inst, 105(24), 1862-1870. https://doi.org/10.1093/jnci/djt310


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