ArticleBiometrics2023
Elastic priors to dynamically borrow information from historical data in clinical trials.
Article in Biometrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
26 citing papers in PubMed.
- A Frequentist Approach Using Weighted Estimating Equations for Survival Analysis of Randomized Controlled Trial With External Control Arm.Biometrical journal. Biometrische Zeitschrift · 2026Article
- Self-Adapting Priors for Dynamic Borrowing in Three-Arm Non-Inferiority Trials With Pre-Specified Margin.Statistics in medicine · 2026Article
- A Bayesian Optimal Adaptive Clinical Trial Design for Sequentially Integrated Therapies.Statistics in medicine · 2026Article
- A new information integration framework for complex models with applications to real-world data.Statistical methods in medical research · 2026Article
- The design of a small Bayesian hybrid-controlled trial utilizing time-to-event data from six published sources that used best alternative care to treat liver-predominant metastasis from primary ocular melanoma.Contemporary clinical trials communications · 2026Article
- Comparative evaluation of Bayesian external information borrowing and frequentist approaches in underpowered confirmatory trials.BMC medical research methodology · 2026Article
- An E-value-Informed Sensitivity Analysis Framework for Hybrid Controlled Trials.medRxiv : the preprint server for health sciences · 2026Article
- Dynamic Borrowing With a Bias-Tolerance Cap in Augmented Randomized Controlled Trials.Statistics in medicine · 2026Article
- Dual-Criterion Approach Incorporating Historical Information to Seek Accelerated Approval With Application in Time-to-Event Group Sequential Trials.Statistics in medicine · 2026Article
- Insights on Clinical Development of Cell and Gene Therapy for Rare Diseases-by DahShu Innovative Design Scientific Working Group (IDSWG).Therapeutic innovation & regulatory science · 2025Review
- PS-SAM: propensity-score-integrated self-adapting mixture prior to dynamically and efficiently borrow information from historical data.Journal of biopharmaceutical statistics · 2025Article
- Bayesian clustering prior with overlapping indices for effective use of multisource external data.Statistical methods in medical research · 2025Article
- The Effect of Alcohol Intake on Brain White Matter Microstructural Integrity: A New Causal Inference Framework for Incomplete Phenomic Data.Journal of the American Statistical Association · 2025Article
- Bayesian dynamic borrowing in group-sequential design for medical device studies.BMC medical research methodology · 2025Article
- Identification and Estimation of Causal Effects Using Non-Concurrent Controls in Platform Trials.Statistics in medicine · 2025Article
- Integrating external summary information in the presence of prior probability shift: an application to assessing essential hypertension.Biometrics · 2024Article
- A scaled kernel density estimation prior for dynamic borrowing of historical information with application to clinical trial design.Statistics in medicine · 2024Article
- A generalized calibrated Bayesian hierarchical modeling approach to basket trials with multiple endpoints.Biometrical journal. Biometrische Zeitschrift · 2024Article
- SAM: Self-adapting mixture prior to dynamically borrow information from historical data in clinical trials.Biometrics · 2023Article
- Bayesian approach for design and analysis of medical device trials in the era of modern clinical studies.Medical review (2021) · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Use of historical data and real-world evidence holds great potential to improve the efficiency of clinical trials. One major challenge is to effectively borrow information from historical data while maintaining a reasonable type I error and minimal bias. We propose the elastic prior approach to address this challenge. Unlike existing approaches, this approach proactively controls the behavior of information borrowing and type I errors by incorporating a well-known concept of clinically significant difference through an elastic function, defined as a monotonic function of a congruence measure between historical data and trial data. The elastic function is constructed to satisfy a set of prespecified criteria such that the resulting prior will strongly borrow information when historical and trial data are congruent, but refrain from information borrowing when historical and trial data are incongruent. The elastic prior approach has a desirable property of being information borrowing consistent, that is, asymptotically controls type I error at the nominal value, no matter that historical data are congruent or not to the trial data. Our simulation study that evaluates the finite sample characteristic confirms that, compared to existing methods, the elastic prior has better type I error control and yields competitive or higher power. The proposed approach is applicable to binary, continuous, and survival endpoints.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.