Rui Wang

January 3, 2024: Special Biostatistics Series Concludes With Missing Data in Cluster Randomized Trials

Posted on by Damon Seils

In this Friday's PCT Grand Rounds, Rui Wang of Harvard Medical School will offer the final session in our special series, Advances in the Design and Analysis of Pragmatic Clinical Trials, with "Methods for Handling Missing Data in Cluster Randomized Trials." The session will be held on Friday, January 5, at 1:00 pm eastern.

Wang is an associate professor of population medicine and the director of the Division of Biostatistics in the Department of Population Medicine at Harvard Medical School and the Harvard Pilgrim Health Care Institute. She is also an associate professor in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health. She is a longtime member of the NIH Pragmatic Trials Collaboratory's Biostatistics and Study Design Core Working Group.

This session's moderator, Fan Li, is an assistant professor of biostatistics at the Yale School of Public Health.

Join the online meeting.

This special Grand Rounds series includes moderated webinar discussions that bring together biostatisticians, clinical trials methodologists, and investigators to discuss challenges and share lessons learned in the design, implementation, and analysis of pragmatic trials. Download the series flyer and see the full schedule below, including archived webinar recordings and slides from previous sessions.

All sessions are free and open to the public. No registration is required.

Grand Rounds Biostatistics Series January 5, 2024: Methods for Handling Missing Data in Cluster Randomized Trials (Rui Wang, PhD; Moderator: Fan Li, PhD)

Speaker: Rui Wang, PhD
Associate Professor of Population Medicine and Associate Professor in the Department of Biostatistics, Harvard Pilgrim Health Care Institute and Harvard Medical School

Moderator: Fan Li, PhD
Assistant Professor of Biostatistics, Yale School of Public Health

Topic: Methods for Handling Missing Data in Cluster Randomized Trials

Date: Friday, January 5, 2024, 1:00-2:00 p.m. ET

To join the online meeting:

Click the Zoom Meeting link below:
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Meeting ID: 959 3744 4078
Passcode: 858655

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Meeting ID: 959 3744 4078
Passcode: 858655

August 26, 2021: Li Receives PCORI Award to Study Methods for Cluster Randomized Trials

Posted on by Damon Seils

Headshot of Dr. Fan Li
Dr. Fan Li

Dr. Fan Li, a longtime member of the NIH Collaboratory’s Biostatistics and Study Design Core, has received approval for a $1 million grant award from the Patient-Centered Outcomes Research Institute (PCORI) to develop methods and software for designing cluster randomized trials. Li is an assistant professor of biostatistics in the Yale School of Public Health.

The study, entitled “New Methods for Planning Cluster Randomized Trials to Detect Treatment Effect Heterogeneity,” will contribute new methods, guidance, and user-friendly software for planning parallel and stepped-wedge cluster randomized trials to enable confirmatory “heterogeneity of treatment effect” (HTE) analyses with sufficient statistical power.

HTE occurs when there is systematic variation in treatment effect across predefined patient or provider subgroups that can arise due to diverse practices, varying responses to treatment, or differing vulnerability to certain diseases, among other reasons. While understanding of HTE has been a recognized goal in individually randomized trials, methods for planning cluster randomized trials with HTE analyses are limited. This PCORI-funded study will expand the current cluster randomized design toolbox to accommodate confirmatory HTE analysis and meet a growing interest in better understanding how patient- and provider-level characteristics moderate the impact of new care innovations in pragmatic trials.

The award has been approved pending completion of a business and programmatic review by PCORI staff and issuance of a formal award contract.

Joining Li on the research team are coinvestigators Dr. Patrick Heagerty of the University of Washington, Dr. Rui Wang of Harvard Medical School and the Harvard Pilgrim Health Care Institute, and Dr. Denise Esserman of the Yale School of Public Health. Heagerty and Wang are members of the NIH Collaboratory’s Biostatistics and Study Design Core. The team will work closely with other NIH Collaboratory colleagues and stakeholders, including Dr. Adrian Hernandez of Duke University, Dr. Jerry Jarvik of the University of Washington, and Dr. Richard Platt of Harvard Medical School and the Harvard Pilgrim Health Care Institute.