Full Name
Heather Allore, 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, founded the field of gerontological biostatistics to help researchers have the tools necessary to understand how to design and analyze research relevant and important to the lives and well-being of older adults. Led by Dr. Allore, the Design and Statistics Core connects these methods to all aspects of the IMPACT Collaboratory. Dr. Allore previously served as director of biostatistics at the Yale Program on Aging. Additionally, her research collaborations and methodological work include being the leader of the Data Management and Statistics Core of the Yale Alzheimer’s Disease Research Center. Her international collaborations, which help to improve the lives of people living with dementia, covers Europe, Australia, and New Zealand.
Core/Team Associations
Full Name
Beth Campbell
Role
Research Coordinator, Communications & Knowledge Dissemination Team
Core Navigator, Design & Statistics Core (DSC)
Primary title
Study Coordinator
Primary Institution
Hebrew SeniorLife’s Hinda and Arthur Marcus Institute for Aging Research
Bio
Beth Campbell received her BA in English literature from Dickinson College in 2012. With professional backgrounds in the book publishing industry and educational event planning, she comes to the Communications and Knowledge Dissemination Team with robust writing and editing skills and a strong eye for design. She is also the core navigator for IMPACT’S Design and Statistics Core.
Full Name
Keith Goldfeld, DrPH, MS, MPA
Credentials
DrPH, MS, MPA
Role
Executive Committee, Design & Statistics Core (DSC)
Primary title
Associate Professor
Primary Institution
Department of Population Health, NYU Grossman School of Medicine
Complete Titles
Associate Professor, Department of Population Health, NYU Grossman 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
Full Name
Roee Gutman, 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 an 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
Name
Full Name
Fan Li, 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 an assistant professor in the Department of Biostatistics at the Yale School of Public Health, and faculty member in the Center for Methods in Implementation and Prevention Science (CMIPS) and the Yale Center for Analytical Sciences (YCAS). He received his Ph.D. in biostatistics from Duke University in May 2019, and joined the Yale biostatistics faculty in July 2019. His main expertise is in the development of methods for designing and analyzing pragmatic cluster randomized trials, causal inference for randomized trials and observational studies, and techniques for improving internal and external validity for treatment comparison under different study designs. He is the principal investigator of a PCORI-funded methods award that investigates new study planning methods and software for testing treatment effect heterogeneity in cluster randomized trials. His research has also been supported by several additional PCORI-funded and NIH-funded awards.
Core/Team Associations
Name
Full Name
Yifan Lou, PhD, MSW
Credentials
PhD, MSW
Role
Postdoctoral Fellow, Design & Statistics Core (DSC)
Primary title
Postdoctoral Fellow, Yale University
Primary Institution
Yale University
Bio
Yifan Lou, PhD, MSW, is a social gerontologist who uses mixed methods to understand inequalities and disparities in access, use, and quality of end-of-life care in the United States and China. Although everyone wants to die with dignity, a “good death” is often privileged. Dr. Lou’s current research include population and policy studies on structural and household mechanisms by which disparities in end-of-life care operate. She also studies the unique needs and challenges related to end-of-life care among older adults with cognitive impairments and their family caregivers, including end-of life care planning, service utilization, and caregiving. Dr. Lou is committed to the science of aging and has a strong scholastic record with more than ten presentations in national conferences and first-author publications in highly respected journals, including Journal of Gerontology: Social Sciences, The Gerontologist, Journal of Pain and Symptom Management, and OMEGA - Journal of Death and Dying. She plans to make unique contributions by providing theory-driven evidence on why inequalities and disparities exist and how to mitigate them, which will benefit all people, who will experience aging and eventually, dying.
Core/Team Associations
Full Name
Joan Monin, 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
Full Name
Nicholas Pajewski, PhD
Credentials
PhD
Role
Executive Committee Member, Pilot Studies Core (PSC) & Design & Statistics Core (DSC)
Primary title
Associate Professor
Primary Institution
Wake Forest School of Medicine
Complete Titles
Associate Professor, Department of Biostatistics and Data Science, Wake Forest University School of Medicine
Director of Statistical Analytics, Center for Health Care Innovation, Wake Forest School of Medicine
Bio
Nicholas (Nick) Pajewski, PhD, is an associate professor in the Department of Biostatistics and Data Science at Wake Forest School of Medicine, where he is also the director of statistical analytics for the Center for Health Care Innovation. Dr. Pajewski is a biostatistician and clinical trialist with experience in large, multi-site randomized trials, largely focused on pharmacologic management of common chronic diseases in older adults. He was the primary faculty biostatistician for the Systolic Blood Pressure Intervention Trial’s (SPRINT) cognitive component (SPRINT MIND), and is currently a member of the Data Coordinating Center and Steering Committee for the Pragmatic Evaluation of evENTs And Benefits of Lipid-lowering in oldEr adults (PREVENTABLE) trial. Dr. Pajewski’s research also centers around leveraging the electronic health record (EHR) for health services research and population health, with a particular focus on applications of the deficit accumulation model of frailty.
Core/Team Associations
Full Name
Monica Taljaard, 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
Full 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 440 peer-reviewed manuscripts and has received over $19M in peer-reviewed research grants as principal investigator in addition to >$145 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
Full Name
Thomas Travison, PhD
Credentials
PhD
Role
Associate Core Leader, Design & Statistics Core (DSC)
Primary title
Senior Scientist; Director of Biostatistics; Associate Professor
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