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Progression free survival (PFS) and tumour response (TR) have been investigated as surrogate endpoints for overall survival (OS) in advanced colorectal cancer (aCRC), however their validity has been shown to be suboptimal. In recent years,…

应用统计 · 统计学 2018-09-11 Eleni G. Elia , Nicolas Städler , Oriana Ciani , Rod S. Taylor , Sylwia Bujkiewicz

Shortcomings of randomized clinical trials are pronounced in urgent health crises, when rapid identification of effective treatments is critical. Leveraging short-term surrogates in real-world data (RWD) can guide policymakers evaluating…

统计方法学 · 统计学 2021-04-13 Larry Han , Xuan Wang , Tianxi Cai

While randomized controlled trials (RCTs) are the gold-standard for establishing the efficacy and safety of a medical treatment, real-world evidence (RWE) generated from real-world data (RWD) has been vital in post-approval monitoring and…

Objectives: Surrogate endpoints, used to substitute for and predict final clinical outcomes, are increasingly being used to support submissions to health technology assessment agencies. The increase in use of surrogate endpoints has been…

应用统计 · 统计学 2025-02-26 Lorna Wheaton , Sylwia Bujkiewicz

Randomized controlled trials (RCTs) have been the cornerstone of clinical evidence; however, their cost, duration, and restrictive eligibility criteria limit power and external validity. Studies using real-world data (RWD), historically…

统计方法学 · 统计学 2025-11-26 Shu Yang , Margaret Gamalo , Haoda Fu

Real-world data (RWD) and real-world evidence (RWE) have been increasingly used in medical product development and regulatory decision-making, especially for rare diseases. After outlining the challenges and possible strategies to address…

The use of valid surrogate endpoints is an important stake in clinical research to help reduce both the duration and cost of a clinical trial and speed up the evaluation of interesting treatments. Several methods have been proposed in the…

统计方法学 · 统计学 2025-02-13 Quentin Le Coent , Virginie Rondeau , Catherine Legrand

Purpose: The Targeted Learning roadmap provides a systematic guide for generating and evaluating real-world evidence (RWE). From a regulatory perspective, RWE arises from diverse sources such as randomized controlled trials that make use of…

应用统计 · 统计学 2022-08-16 Susan Gruber , Rachael V. Phillips , Hana Lee , John Concato , Mark van der Laan

Randomized controlled trials (RCTs) in oncology often allow control group participants to crossover to experimental treatments, a practice that, while often ethically necessary, complicates the accurate estimation of long-term treatment…

统计方法学 · 统计学 2025-02-12 Harlan Campbell , Nicholas Latimer , Jeroen P Jansen , Shannon Cope

Surrogate endpoint (SE) for overall survival in cancer patients is essential to improving the efficiency of oncology drug development. In practice, we may discover a new patient level association with survival, based on one or more clinical…

应用统计 · 统计学 2022-11-08 Wei Zou

The integration of real-world data (RWD) and randomized controlled trials (RCT) is increasingly important for advancing causal inference in scientific research. This combination holds great promise for enhancing the efficiency of causal…

统计方法学 · 统计学 2024-07-02 Xi Lin , Jens Magelund Tarp , Robin J. Evans

A Real-World Evidence (RWE) Scientific Working Group (SWG) of the American Statistical Association Biopharmaceutical Section (ASA BIOP) has been reviewing statistical considerations for the generation of RWE to support regulatory…

应用统计 · 统计学 2023-07-04 Jie Chen , Daniel Scharfstein , Hongwei Wang , Binbing Yu , Yang Song , Weili He , John Scott , Xiwu Lin , Hana Lee

Clinical trials or studies oftentimes require long-term and/or costly follow-up of participants to evaluate a novel treatment/drug/vaccine. There has been increasing interest in the past few decades in using short-term surrogate outcomes as…

统计方法学 · 统计学 2024-12-19 Xuan Wang , Tianxi Cai , Lu Tian , Layla Parast

A common practice in clinical trials is to evaluate a treatment effect on an intermediate endpoint when the true outcome of interest would be difficult or costly to measure. We consider how to validate intermediate endpoints in a…

统计方法学 · 统计学 2022-11-30 Emily K. Roberts , Michael R. Elliott , Jeremy M. G. Taylor

Continuous outcome measurements truncated by death present a challenge for the estimation of unbiased treatment effects in randomized controlled trials (RCTs). One way to deal with such situations is to estimate the survivor average causal…

统计方法学 · 统计学 2025-12-02 Stefanie von Felten , Chiara Vanetta , Christoph M. Rüegger , Sven Wellmann , Leonhard Held

Surrogate endpoints play an important role in drug development when they can be used to measure treatment effect early compared to the final clinical outcome and to predict clinical benefit or harm. Such endpoints are assessed for their…

Background: Network Meta-Analysis (NMA) is a key component of submissions to reimbursement agencies world-wide, especially when there is limited direct head-to-head evidence for multiple technologies from randomised controlled trials…

The primary endpoint in oncology is usually overall survival, where differences between therapies may only be observable after many years. To avoid withholding of a promising therapy, preliminary approval based on a surrogate endpoint is…

统计方法学 · 统计学 2022-05-25 Samuel Kilian , Johannes Krisam , Meinhard Kieser

Evaluating treatment effects is critical in clinical trials but sometimes involves lengthy, invasive, or costly follow-up procedures. In these cases, surrogate markers, which provide intermediate measures of the long-term treatment effect,…

统计方法学 · 统计学 2026-03-24 Sarah C. Lotspeich , P. D. Anh. Nguyen , Layla Parast

In many experimental and observational studies, the outcome of interest is often difficult or expensive to observe, reducing effective sample sizes for estimating average treatment effects (ATEs) even when identifiable. We study how…

机器学习 · 统计学 2024-10-11 Nathan Kallus , Xiaojie Mao
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