The focus of my research collaborations and methodological development work as Director of Biostatistics at the Yale Program on Aging. Innovative designs for multicomponent interventional trials and biostatistical methods are required to rigorously address the myriad of unanswered scientific questions related to geriatric health conditions. My research has focused on issues related to the design and analysis of studies of multiple chronic conditions using both clinical trials and observational studies, topics that are relevant to this application. With over 160 publications, I have served as a senior biostatistician on methods papers directly related to longitudinal methods, such as trajectories of functional disability, including the first published in New England Journal of Medicine. My applied research includes developing strategies for handling missing data that frequently occur in studies of older persons; I have compared different longitudinal imputation methods in the context of older persons where censoring due to death commonly occurs, which is a theme of the Biostatistical Core’s Development Project. In addition to my multicomponent and clustered trial design research, 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 am the founder and leader of the field of Gerontological Biostatistics. This discipline trains biostatisticians for conducting collaborative clinical research with geriatricians and gerontologists and provides the basis for the development and extension of statistical methodology. Most recently, my group is exploring time-varying effects models that have never been used in aging research and this approach allows the effects of patient or clinical characteristics to varying over time. Dissemination of methods is through a user-friendly, web-based compendium (Gerontologic Research Algorithms and Statistical Programs or GRASP) that is facilitating an interchange of analytical strategies, programs and data structures for biostatisticians, epidemiologists, and other methodologists involved in gerontological research. These and other methodologic advances resulted in being an invited speaker at an NIH/NIA conference on Longitudinal Methods and another on Clinical Trial Design. In 2017, she co-chaired Study Design and Metrics of the NIH meeting on the 21st Century Cures Act: Inclusion Across the Lifespan. Other leadership roles I undertake include Director of the Yale Alzheimer's Disease Research Center's Data Management and Statistics Core and Co-director of the Biostatistics and Bioinformatics Core of the Yale Transdisciplinary Collaborative Center for Precision Medicine focused on Health Disparities, especially those with multiple chronic conditions. I have been a Steering Committee and Data and Measures Committee member of the AGING Initiative, which a collaboration of OAICs and the Healthcare Systems Research Network. A defining hallmark of my biostatistical approach is that instead of developing analytic methods in the absence of a clinical question or adapting the study question to available analytical techniques, she adapts new statistical methods that suitably model the specific study question.