Professor; Director, Yale Program on Aging Biostatistics Core; Director, Data Management and Statistics Core, Yale Alzheimer's Disease Research Center; Co-director of the Biostatistics and Bioinformatics Core of the Yale Transdisciplinary Collaborative Center for Precision Medicine focused on Health Disparities; Adjunct Professor, Harldsplass Deaconess Hospital, University of Bergen, Norway
- Statistics as Topic
- Frail Elderly
- Mathematical Concepts
The objective of the Yale Institutional Training Grant for Infectious Disease provide greater research opportunities for Yale postdoctoral trainees to be equipped to address the myriad of unanswered questions concerning the diagnosis, etiology, treatment, prevention, and prognosis of the health problems experienced by the ever increasing number of persons. My mentorship skills will allow trainees to rigorously address the myriad of unanswered scientific questions related to infections experienced by older adults through using innovative designs and biostatistical methods. From the statistical literature, I have continually introduced new state-of-the-art analytical methods that are applicable to clinical and basic aging research. Thus, instead of developing analytic methods in the absence of a clinical question, the Biostatistics Core that I direct adapts new statistical methods that suitably model biology and multifactorial geriatric health conditions. Over the past 15 years with the Yale Program on Aging, I have developed and extended analytic methods to address the many challenges of aging research, trained biostatisticians and clinicians in these methods and provided leadership as Director of the Biostatistics Core of the interdepartmental Program on Aging. I have a wealth of experience conducting epidemiologic studies and is a recognized authority on longitudinal statistical methods, including extended Cox models for state transitions, generalized estimating equations, mixed effects models, latent class trajectory models, joint models and recently modified the average attributable fraction for a time-to-event outcome with time-varying medical conditions. I have served as the senior biostatistician on many published methods papers directly related to multifactorial geriatric health conditions. I have also successfully mentored, often with other T32 faculty, 32 postdoctoral fellows including Yale Training Program in Geriatric Clinical Epidemiology and Aging-Related Research Fellows and junior faculty. These efforts have led to receipt of numerous career development awards from the NIH, VA, Brookdale Foundation, and other private foundations. My research has focused on issues related to the design and analysis of studies of multicomponent interventions and observational studies of multifactorial geriatric conditions. Recently, I have been extending methods into second stage translation research using hierarchical spatio-temporal analysis by modifying propensity score methods and different spatial techniques to translate the work of randomized controlled trials to real-world interventions trials. My research also includes developing strategies for handling missing data that frequently occurs in studies of older persons, different longitudinal imputation methods in the context of older subjects where censoring due to death commonly occurs, and medication effects in older adults with multiple chronic conditions.