Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
November 12, 2025Journal of Biopharmaceutical Statistics

Power priors and type I error control: constrained borrowing of external control data

View Full Paper
Ask AI
Bookmark
Share

Authors

SLSe-Yoon Lee

Discussion

Loading...

Member takes

Overview

New method ensures control of type I error while improving statistical power in randomized controlled trials using external data.

Key Points

  • Our novel power prior method controls type I error rates while leveraging external control data.
  • Simulation studies demonstrate how this approach informs reliable treatment effect estimates in trials.
  • We assess biased estimates arising from prior-data conflicts, which can compromise treatment evaluations.
  • This research offers trial sponsors a robust strategy to enhance efficiency in randomized controlled trials.

Cite This Study

Se-Yoon Lee (2025) studied this question.

synapsesocial.com/papers/69252e83c0ce034ddc355b4ehttps://doi.org/10.1080/10543406.2025.2575940
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Case weighted power priors for hybrid control analyses with time-to-event data2024 · 2 citations
  2. 2Selection Bias in Hybrid Randomized Controlled Trials using External Controls: A Simulation Study2025
  3. 3On the two-step hybrid design for augmenting randomized trials using real-world data2025
  4. 4Control arm augmentation and hierarchical modeling in time-to-event trials: advantages and pitfalls2024
  5. 5Bayesian Power Prior in Platform Trials With Non‐Concurrent Control for Binary Outcomes: Development and Comparative Evaluation2026