Biostatistics; consulting; translational research; statistical education; modeling; regression; longitudinal data analysis; hierarchical models; latent variable models; multivariate analysis; survival analysis; missing data; gerontology; aging; clinical trials; Biostats; propensity scores
Experiences & Accomplishments
My primary goals lie in the advancement of scientific discovery through the development, application and translation of statistical methodolgy. Research-based statistical consulting acts a key interface between science and statistics, and it is here that reciprocal translation can greatly facilitate discovery. I promote collaborative and developmental consultations that enable synergistic relationships between substantive and statistical research.
My recent methodologic interests have concerned the modeling and interpretation of complex longitudinal data, where multifaceted associations, non-standard distributions, and informative censoring can all play a role. In these instances, multiple models and multiple model checking mechanisms are crucial for validating inferences.
Windham B.G., Griswold M., Fried L.P, Rubin G., Xue Q., Carlson M.C. Impaired vision and the ability to take medications. Journal of the American Geriatrics Society 2005; in press
Simpson C., Boyd C., Carlson M., Griswold M., Guralnik J., & Fried L.P. Agreement Between Self-report of Disease Diagnoses and Medical Record Validation In Disabled, Older Women: Factors That Modify Agreement. Journal of the American Geriatric Society 2004; 52: 124-127
Agrawal N., Sewell D., Griswold M., Frank S., Hessel T., & Eisele D. Hypothermia During Head and Neck Surgery. Laryngoscope 2003; 113(8): 1278-82.
Spacek L., Griswold M., Quinn T., & Moore R. Total lymphocyte count and hemoglobin combined in a clinical algorithm to initiate the use of highly effective antiretroviral therapy in resource-limited settings. AIDS 2003; 17: 1311-7.
Johnson E., Dominici F., Griswold M., & Zeger S. Disease Cases and Their Medical Costs Attributable to Smoking: An Analysis of the National Medical Expenditure Survey. Journal of Econometrics 2003; 112:135-151.