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Event Series Event Series: Division of Biostatistics and Health Data Science Seminar Series

BHDS Seminar with Lifeng Lin

October 2, 2024 @ 3:00 pm - 4:00 pm CDT

Location: University Office Plaza, Room 114/116
  • « HPM Seminar with Kristi Swanson, HSRP&A PhD Candidate
  • Undergraduate Transfer Info Session »

Title: Monitoring Living Evidence for Research Synthesis

Abstract: A living systematic review (LSR) is an innovative approach that continuously updates and synthesizes evidence in real time. Trial sequential analysis (TSA) is a key tool in LSRs, crucial for evaluating the conclusiveness of evidence. It employs sequential monitoring boundaries to assess intervention effectiveness and futility boundaries to determine whether an intervention shows a significant difference from or a similar effect to the control. Although TSA is becoming increasingly popular, its reproducibility is often compromised by a lack of detailed information on underlying assumptions. Moreover, existing TSA methods are challenged by their heavy reliance on interim analyses from randomized controlled trials, which typically involve more homogeneous participant groups than those found in meta-analyses. In this presentation, we will introduce novel methods aimed at preventing the premature termination of LSRs, thereby strengthening the robustness of evidence synthesis. Our numerical studies indicate that these new methods provide greater reliability compared to existing approaches.

Audience for this event: All SPH faculty, students and staff welcome

Speaker(s)

Lifeng Lin

Associate Professor in the Department of Epidemiology and Biostatistics at the College of Public Health at the University of Arizona

Learn more about Lifeng Lin

Lifeng Lin is an Associate Professor in the Department of Epidemiology and Biostatistics at the College of Public Health at the University of Arizona. His research focuses on statistical methods for meta-analysis, network meta-analysis of multiple-treatment comparisons, and publication bias. He is also interested in the applications of Bayesian methods and approaches to improving research reproducibility and replicability.

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Details

Series:
Division of Biostatistics and Health Data Science Seminar Series
Audience:
Current Students, Faculty/Staff

Venue

University Office Plaza, Room 114/116
2221 University Ave SE
Minneapolis, MN 55414 United States
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Organizer

Division of Biostatistics and Health Data Science

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