On the Data Frontline: Biostatisticians in the Hospital Research Setting
Lake, E.
AMSTAT (STATtr@k), ASA. 2021. (May).
Other Positions
Director of Student Development and Co-Director, Master of Science in Biostatistics Program
Biostatistics
Harvard T.H. Chan School of Public Health
Overview
Dr. Erin (Kammann) Lake is Instructor of Biostatistics, Co-Director of the SM BIO Programs, and the department lead on career development efforts within the Department of Biostatistics at the Harvard T.H. Chan School of Public Health at Harvard University.
Dr. Lake teaches, mentors and advises graduate students in the Department of Biostatistics at Harvard, and in the courses she teaches at HSPH. Recent courses include BST 210 Applied Regression Analysis (for doctoral and master’s students at HSPH) and BST 254 Special Topics in Biostatistics (co-taught, for doctoral students).
Dr. Lake’s early training was in theoretical mathematics, and later in biostatistics. Her interests and work began in the area of difference and differential equations, and ultimately, after developing methods toward the mathematical modeling of Lyme disease, evolved into the methodological development of topics ranging from mixed and additive models in disease mapping, to dynamic randomizations, and special cases of the Andersen-Gill formulation of the Cox model in clinical trials.
Funded by a National Institute of Allergy and Infectious Diseases (NIAID) training grant awarded by the Department of Biostatistics at HSPH, Dr. Lake studied HIV and infectious disease during her doctoral work, and ultimately disease mapping, funded by the National Institute of Environmental Health Sciences (NIEHS).
Currently Dr. Lake pursues both methodological and applied research across a myriad of public health problems.
Bibliography
Robust Estimation and Testing for Nonlinear Effects using Kernel Machine Ensemble
Deng W, Liu ZL, Lake E, Coull B.
Robust Estimation and Testing for Nonlinear Effects using Kernel Machine Ensemble. 2020. (under review).
Robustness for general design mixed models using the t-distribution
Staudenmayer, J, Lake, EE & Wand, MP.
Statistical Modeling. 2009. 9(3):235-255.
Geoadditive Models
Kammann, EE & Wand, MP.
Journal of the Royal Statistical Society. 2003. 52(Series C):1-18.
Association of adherence to Mycobacterium avium complex prophylaxis and antiretroviral therapy with clinical outcomes in Acquired Immunodeficiency Syndrome.
Cohn SE, Kammann E, Williams P, Currier JS, Chesney MA.
Clin Infect Dis. 2002 Apr 15. 34(8):1129-36. PMID: 11915003
Sample size reestimation in cluster randomization trials
Lake SL, Kammann EE, Klar N, Betensky R.
Statistics in Medicine. 2002. (21):1337-50.
Semiparametric nonlinear mixed-effects models and their applications – Comment
French, JL, Kammann, EE and Wand, MP.
Journal of the American Statistical Association. 2001. (96):1285-1288.
Long-term disability and return to work among patients who have a herniated lumbar disc: the effect of disability compensation.
Atlas SJ, Chang Y, Kammann E, Keller RB, Deyo RA, Singer DE.
J Bone Joint Surg Am. 2000 Jan. 82(1):4-15. PMID: 10653079
APOE genotype and gender effects on Alzheimer disease in 100 adults with Down syndrome.
Lai F, Kammann E, Rebeck GW, Anderson A, Chen Y, Nixon RA.
Neurology. 1999 Jul 22. 53(2):331-6. PMID: 10430422
An improved method for predicting duration of black-legged tick (Ixodes scapularis) attachment
Kelly C, Kammann E, Bak J, Mather T.
Systematic and Applied Acarology. 1999. 4:31-38.