Columbia University

My dissertation research, under the advisement of Dr. Shuang Wang at Columbia University and Dr. Colin Begg at Memorial Sloan Kettering Cancer Center, focuses on statistical methods for the study of etiologic heterogeneity. The first part of my research focused on comparing and contrasting existing methods for the study of etiologic heterogeneity using a simulation study and simplified data example. Next, I examined the statistical properties of our method for the study of etiologic heterogeneity to determine its ability to find the truly most etiologically heterogeneous subtype solutions under a variety of data settings. Finally, I am applying the method to data from the Carolina Breast Cancer Study, and exploring additional methodological challenges that exist in a real data analysis.

Selected publications

The below publications represent my work to date on the topic of statistical methods for the study of etiologic heterogeneity:

Zabor, E. C., & Begg, C. B. (2017). A comparison of statistical methods for the study of etiologic heterogeneity. Stat Med, 36(25), 4050-4060.

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.

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.

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.

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.

Begg, C. B., Zabor, E. C., Bernstein, J. L., Bernstein, L., Press, M. F., Seshan, V. E. (2013). A conceptual and methodological framework for investigating etiologic heterogeneity. Stat Med, 32(29), 5039-5052.

Memorial Sloan Kettering Cancer Center

At Memorial Sloan Kettering Cancer Center I spent six years collaborating on research projects in genito-urinary cancers, with an emphasis on genetic predictors of patient outcomes. Since then I have worked with the breast surgery service on research comparing patient outcomes according to different treatment strategies. I have also collaborated closely with epidemiologists on research related to smoking and bladder cancer and with health outcomes researchers on long-term outcomes following treatment for lymphoma.

Selected publications

The following publications represent a sample of methodological work I have conducted at Memorial Sloan Kettering Cancer Center:

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.

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.

Zabor, E. C., Gonen, M., Chapman, P. B., Panageas, K. S. (2013). Dynamic prognostication using conditional survival estimates. Cancer, 119(20), 3589-3592.

Google scholar

A full list of publications is available at the above Google scholar link.