Professional and Biographical Information
Ph.D., Harvard University 2018
M.A., Boston University 2009
A.B., Mount Holyoke College 2007
Prior to my arrival at Amherst, I educated clinical researchers at Brigham and Women’s Hospital in Boston and DrPH students at the Harvard T.H. Chan School of Public Health about statistical methods and epidemiological principles. At Amherst, I have taught Introduction to Statistics via Modeling, Intermediate Statistics, and Data Science. Across courses, I emphasize connecting statistical concepts we’re learning in class to real world applications, employ active learning techniques, and embrace creative experimentation.
In the near future, I hope to develop and facilitate a statistics course through the Inside-Out Prison Exchange Program.
As a biostatistician, I am interested in statistical applications for the medical and public health fields. My applied research has focused on reproductive health and assisted reproductive technologies. I enjoy collaborating with clinicians and epidemiologists on research that is critical in helping to elucidate links between modifiable risk factors and poor reproductive outcomes, enabling clinicians to better counsel patients and effectuating positive change in clinical practices. My primary methodological research interests stem from the statistical issues that arise in my applied research. These issues include complex longitudinal and clustered data questions, biased study design challenges, and missing data.
I also work on consulting projects for the Massachusetts General Hospital Biostatistics Division.
Correia KF, Williams PL. A hierarchical modeling approach for assessing the safety of exposure to complex antiretroviral drug regimens during pregnancy. Statistical Methods in Medical Research. 2019;28(2):599-612. doi: 10.1177/0962280217732597.
Correia KF, Williams PL. Estimating the relative excess risk due to interaction in clustered data settings. American Journal of Epidemiology. 2018;187(11):2470-2480. doi: 10.1093/aje/kwy154.
Correia KF, Dodge LE, Farland LV, Hacker MR, Ginsburg E, Whitcomb BW, Wise LA, Missmer SA. Confounding and effect measure modification in reproductive medicine research. Human Reproduction. 2020;35(5):1013-1018. doi:10.1093/humrep/deaa051.
Farland LV, Correia KF, Wise LA, Williams PL, Ginsburg ES, Missmer SA. P-values and reproductive health: what can clinical researchers learn from the American Statistical Association? Human Reproduction. 2016;31(11):2406-2410. doi: 10.1093/humrep/dew192.
Complete list of publications here.