中文
相关论文

相关论文: Estimand framework and intercurrent events handlin…

200 篇论文

Randomized controlled trials (RCT) are the gold standard for evaluation of the efficacy and safety of investigational interventions. If every patient in an RCT were to adhere to the randomized treatment, one could simply analyze the…

应用统计 · 统计学 2020-06-08 Yongming Qu , Linda Shurzinske , Shanthi Sethuraman

The current COVID-19 pandemic poses numerous challenges for ongoing clinical trials and provides a stress-testing environment for the existing principles and practice of estimands in clinical trials. The pandemic may increase the rate of…

统计方法学 · 统计学 2023-02-02 Yongming Qu , Ilya Lipkovich

To precisely define the treatment effect of interest in a clinical trial, the ICH E9 estimand addendum describes that relevant so-called intercurrent events should be identified and strategies specified to deal with them. Handling…

统计方法学 · 统计学 2025-02-06 Camila Olarte Parra , Rhian M. Daniel , Jonathan W. Bartlett

In randomized controlled trials (RCTs) that focus on time-to-event outcomes, intercurrent events can arise in two ways: as semi-competing events, which modify the hazard of the primary outcome events, or as competing events, which make the…

统计方法学 · 统计学 2026-05-26 Yuhao Deng , Shasha Han , Xiao-Hua Zhou

Time-to-event estimands are central to many oncology clinical trials. The estimand framework (addendum to the ICH E9 guideline) calls for precisely defining the treatment effect of interest to align with the clinical question of interest…

应用统计 · 统计学 2023-07-24 Jonathan Siegel , Hans-Jochen Weber , Stefan Englert , Feng Liu

The International Council for Harmonization (ICH) E9 (R1) addendum provides the estimand framework to formulate treatment effects in a clinical trial. One of the attributes of an estimand the framework describes is intercurrent events.…

统计方法学 · 统计学 2026-05-28 Xiaoxiao Zhou , Joyce Chen , Pallavi Mishra-Kalyani , Xiaoxue Li , Yuan Li Shen , Shu Wang , Susan Halabi , Fan Li

The creation of the ICH E9 (R1) estimands framework has led to more precise specification of the treatment effects of interest in the design and statistical analysis of clinical trials. However, it is unclear how the new framework relates…

统计方法学 · 统计学 2024-12-20 Thomas Drury , Jonathan W. Bartlett , David Wright , Oliver N. Keene

The ICH E9 addendum introduces the term intercurrent event to refer to events that happen after randomisation and that can either preclude observation of the outcome of interest or affect its interpretation. It proposes five strategies for…

统计方法学 · 统计学 2021-07-12 Camila Olarte Parra , Rhian M. Daniel , Jonathan W. Bartlett

A draft addendum to ICH E9 has been released for public consultation in August 2017. The addendum focuses on two topics particularly relevant for randomized confirmatory clinical trials: estimands and sensitivity analyses. The need to amend…

统计方法学 · 统计学 2023-04-17 Kaspar Rufibach

Estimands can help to clarify the research questions being addressed in randomised trials. Because the choice of estimand can affect how relevant trial results are to patients and other stakeholders, such as clinicians or policymakers, it…

The estimand framework proposed by ICH in 2017 has brought fundamental changes in the pharmaceutical industry. It clearly describes how a treatment effect in a clinical question should be precisely defined and estimated, through attributes…

其他统计学 · 统计学 2025-12-09 Jinghong Zeng

The estimand framework included in the addendum to the ICH E9 guideline facilitates discussions to ensure alignment between the key question of interest, the analysis, and interpretation. Therapeutic knowledge and drug mechanism play a…

其他定量生物学 · 定量生物学 2023-04-17 Steven Sun , Hans-Jochen Weber , Emily Butler , Kaspar Rufibach , Satrajit Roychoudhury

The analysis of randomized controlled trials is often complicated by intercurrent events (IEs) -- events that occur after treatment initiation and affect either the interpretation or existence of outcome measurements. Examples include…

统计方法学 · 统计学 2026-04-07 Sizhu Lu , Yanyao Yi , Yongming Qu , Huayu Karen Liu , Ting Ye , Peng Ding

Intercurrent (post-treatment) events occur frequently in randomized trials, and investigators often express interest in treatment effects that suitably take account of these events. A naive conditioning on intercurrent events does not have…

统计方法学 · 统计学 2021-11-17 Mats J. Stensrud , Oliver Dukes

Intercurrent events (ICEs) and missing values are inevitable in clinical trials of any size and duration, making it difficult to assess the treatment effect for all patients in randomized clinical trials. Defining the appropriate estimand…

应用统计 · 统计学 2020-06-01 Yongming Qu , Junxiang Luo , Stephen J. Ruberg

The ICH E9 (R1) Estimands Guidance1 terminology does not completely address the conceptual needs of time-to-event estimands in the complex oncology context. We previously described how censoring and censoring mechanisms for time-to-event…

应用统计 · 统计学 2022-03-07 Jonathan M Siegel , Hans-Jochen Weber , Stefan Englert

The estimand framework is increasingly established to pose research questions in confirmatory clinical trials. In evidence synthesis, the uptake of estimands has been modest, and the PICO (Population, Intervention, Comparator, Outcome)…

The ICH E9(R1) addendum provides guidelines on accounting for intercurrent events in clinical trials using the estimands framework. However, there has been limited attention to the estimands framework for meta-analysis. Using treatment…

The estimand framework provides guidance on handling intercurrent events, such as treatment discontinuation, in the analysis of clinical trial responses. Under ICH E9(R1), the treatment policy (TP) strategy incorporates post-discontinuation…

统计方法学 · 统计学 2026-04-07 Myeongjong Kang , Sangyoon Yi

Since the release of the ICH E9(R1) addendum on estimands, its application in non-inferiority trials has received far less attention than in superiority settings. A key conclusion from Lynggaard et al. was that the "choice of…

应用统计 · 统计学 2026-03-12 Tobias Mütze , Helle Lynggaard , Sunita Rehal , Oliver N. Keene , Marian Mitroiu , David Wright
‹ 上一页 1 2 3 10 下一页 ›