Design & Statistics Core (DSC)

Allore, Heather – PhD
Credentials: PhD
Role:

Core Leader, Design and Statistics Core (DSC)

Primary title: Professor
Primary Institution: Yale School of Medicine
Complete Titles:

Professor, Yale School of Medicine
Professor, Yale School of Public Health

Bio: Heather Allore, PhD focuses on research collaborations and methodological development work as leader of the Data Management and Statistics Core of the Yale Alzheimer’s Disease Research Center and for 12 years as Director of Biostatistics at the Yale Program on Aging. She founded the field of Gerontological Biostatistics where innovative designs for multicomponent interventional trials and biostatistical methods are required to rigorously address scientific questions related to geriatric health conditions. Her research focuses on issues related to the design and analysis of studies of multiple chronic conditions using both clinical trials and observational studies. Dr. Allore has 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.
Core/Team Associations:
Goldfeld, Keith – DrPH, MS, MPA
Credentials: DrPH, MS, MPA
Role:

Executive Committee, Design & Statistics Core (DSC)

Primary title: Assistant Professor
Primary Institution: Department of Population Health, NYU School of Medicine
Complete Titles:

Assistant Professor, Department of Population Health, NYU School of Medicine

Bio: Keith Goldfeld, DrPH, MS, MPA is a biostatistician interested in health services research, cluster randomized trials, and causal inference for secondary data analysis. His current research involves collaborations in palliative care, geriatric care, and addiction. At the Mailman School of Public Health at Columbia University, where he completed his DrPH, Dr. Goldfeld’s research explored methodologies for analyzing treatment strategies for nursing home residents with dementia at the end-of-life. He is currently collaborating on an NIH-funded study to evaluate an intervention designed to improve the quality of care provided to patients living with dementia. In addition, he developed simstudy, an R software package that enables researchers, teachers, and students to easily generate simulated study data for a broad range of study designs. The package and how to use it are described in his blog, ouR data generation.
Core/Team Associations:
Gutman, Roee – PhD
Credentials: PhD
Role:

Executive Committee, Design & Statistics Core (DSC)

Primary title: Associate Professor of Biostatistics
Primary Institution: Brown University School of Public Health
Complete Titles:

Associate Professor of Biostatistics, Brown University School of Public Health

Bio: Roee Gutman, PhD is associate professor in the Department of Biostatistics at Brown University. His areas of expertise are causal inference, file linkage, missing data, Bayesian analysis and their application to data sources in health services research. He brings vast experience in designing and analyzing randomized trials and secondary datasets from various sources (e.g. Medicare claims data, VA health data). He has been involved in many comparative effectiveness studies where he contributed in terms of the statistical theory and its implementation. Examples of such studies include a pragmatic trial to study the effect of video education in nursing homes on re-hospitalization rate (PROVEN), and a trial to investigate the effects of Music & Memory for patients with AD/ADRD. Dr. Gutman has also participated in analyzing the effects of amyloid scanning in the IDEAS Study, and in an extension study that examines caregivers’ reactions and experience to these scans (CARE IDEAS).
Core/Team Associations:
Li, Fan – PhD
Credentials: PhD
Role:

Executive Committee, Design & Statistics Core (DSC)

Primary title: Assistant Professor of Biostatistics
Primary Institution: Yale School of Public Health
Complete Titles:

Assistant Professor of Biostatistics, Yale School of Public Health

Bio: Fan Li, PhD is assistant professor of biostatistics at Yale School of Public Health. His primary research interests include developing statistical methodology to address challenges in pragmatic cluster randomized trials and observational studies. For pragmatic trials, he advanced the covariate-constrained randomization procedure as a design technique to improve baseline balance in cluster randomized trials. Dr. Li applied the constrained randomization procedure in settings where a small number of clusters are recruited, and simple randomization fails to produce balanced allocations. He also contributed a comprehensive marginal modeling framework for the design and analysis of multi-period cluster randomized trials, including crossover and stepped-wedge trials. For observational studies, he developed novel propensity score weighting approaches to enable valid confounding adjustment in the presence of limited covariate overlap, a scenario frequently arises with observational data obtained from convenience samples. Dr. Li’s collaborative interests include cardiology, geriatrics and emergency medicine.
Core/Team Associations:
Monin, Joan – PhD, MS
Credentials: PhD, MS
Role:

Executive Committee, Design & Statistics Core (DSC)

Primary title: Associate Professor
Primary Institution: Yale School of Public Health
Complete Titles:

Associate Professor, Yale School of Public Health

Bio: Joan Monin, PhD, MS is an associate professor at the Yale School of Public Health. Her research examines how emotional and social support processes affect health in older adult relationships. Dr. Monin’s research combines survey methods and laboratory experiments to understand the mechanisms (e.g. emotional contagion, cardiovascular reactivity) and moderators (gender, individual differences in attachment) involved in these processes. Currently, her research focuses on understanding how caregivers and care recipients support one another in the early stages of dementia. In this work, she uses dyadic analysis techniques to take into account partner influences on outcomes. These findings about relationship dynamics in the context of caregiving are then translated to inform supportive programs for families living with dementia.
Core/Team Associations:
Taljaard, Monica – PhD
Credentials: PhD
Role:

Executive Committee, Design & Statistics Core (DSC)

Primary title: Senior Scientist
Primary Institution: Ottawa Hospital Research Institute
Complete Titles:

Senior Scientist, Ottawa Hospital Research Institute
Associate Professor, University of Ottawa

Bio: Monica Taljaard, PhD is a biostatistician specializing in the design, analysis and ethics of pragmatic cluster randomized and stepped wedge trials. As a member of the Ottawa Hospital Research Institute (OHRI) Methods Center, she regularly provides biostatistical assistance to investigators in the design, conduct, and analysis of pragmatic trials, pilot trials, quality improvement interventions and health system projects. Since Dr. Taljaard’s academic appointment in 2006, she has published over 240 peer-reviewed manuscripts and has received over $10M in peer-reviewed research grants as principal investigator from the Canadian Institutes of Health Research, in addition to >$110 million in peer-reviewed research funding as co-investigator. She has collaborated with investigators in the design and analysis of a large-scale pragmatic cluster randomized trials in US Nursing homes, and studies in palliative and end-of-life care, dementia, long-term care, perioperative care of the frail elderly, as well as health care system quality improvement in nursing homes.
Core/Team Associations:
Travison, Thomas – PhD
Credentials: PhD
Role:

Associate Core Leader, Design & Statistics Core (DSC)

Primary title: Senior Scientist; Director of Biostatistics
Primary Institution: Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife
Complete Titles:

Senior Scientist, Director of Biostatistics, Co-Director of the Interventional Studies in Aging Center, Hebrew SeniorLife’s Hinda and Arthur Marcus Institute for Aging Research
Associate Professor of Medicine, Harvard Medical School
Faculty, Division of Gerontology, Beth Israel Deaconess Medical Center

Bio: Thomas Travison, PhD is a biostatistician and clinical trialist. His work is focused on observational and interventional science intended to promote functional independence and to prevent the development and progression of frailty. Dr. Travison is an internationally recognized expert in the epidemiology of age-associated changes in circulating sex steroid concentrations and their contribution to functional and cognitive aging. He has designed and analyzed numerous clinical trials of multimodal interventions in complex older populations. His laboratory focuses on the development and dissemination of tools and methodologies promoting reproducible quantitative and biomedical science.
Core/Team Associations: