Implementation of the ICH E9 (R1) addendum in vaccine efficacy studies: the hypothetical and principal stratum strategies.

IF 1.2 4区 医学 Q4 PHARMACOLOGY & PHARMACY
Silvia Noirjean, Daniele Bottigliengo, Elisa Cinconze, Ali Charkhi, Toufik Zahaf, Fan Li, Andrea Callegaro
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Abstract

Over the past decades, the primary interest in vaccine efficacy evaluation has mostly been on the effect observed in trial participants complying with the protocol requirements (per protocol analysis). The ICH E9 (R1) addendum provides a structured framework to formulate the clinical questions of interest and formalize them as estimands. In this paper, the estimand framework is retrospectively implemented in a human papillomavirus (HPV) phase 3 trial, where the vaccine efficacy was originally estimated on the per protocol set. We focus on two strategies for dealing with the presence of intercurrent events: the hypothetical and the principal stratum strategies. We address the interpretation of these two estimands, their estimation as well as articulation of the underlying identifiability assumptions. Finally, we leverage the results of the HPV application to formulate general considerations regarding the implementation of the ICH E9 (R1) addendum in vaccine efficacy studies.

在疫苗效力研究中实施ICH E9 (R1)附录:假设和主要阶层策略。
在过去的几十年里,对疫苗效力评价的主要兴趣主要集中在在遵守方案要求的试验参与者身上观察到的效果(根据方案分析)。ICH E9 (R1)附录提供了一个结构化框架,用于制定感兴趣的临床问题并将其形式化为评估。在本文中,评估框架回顾性地在人乳头瘤病毒(HPV) 3期试验中实施,其中疫苗效力最初是在每个方案集上估计的。我们重点讨论了处理交互事件的两种策略:假设层策略和主要层策略。我们解决这两个估计的解释,他们的估计以及潜在的可识别性假设的表述。最后,我们利用HPV应用的结果来制定关于在疫苗功效研究中实施ICH E9 (R1)附录的一般考虑。
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来源期刊
Journal of Biopharmaceutical Statistics
Journal of Biopharmaceutical Statistics 医学-统计学与概率论
CiteScore
2.50
自引率
18.20%
发文量
71
审稿时长
6-12 weeks
期刊介绍: The Journal of Biopharmaceutical Statistics, a rapid publication journal, discusses quality applications of statistics in biopharmaceutical research and development. Now publishing six times per year, it includes expositions of statistical methodology with immediate applicability to biopharmaceutical research in the form of full-length and short manuscripts, review articles, selected/invited conference papers, short articles, and letters to the editor. Addressing timely and provocative topics important to the biostatistical profession, the journal covers: Drug, device, and biological research and development; Drug screening and drug design; Assessment of pharmacological activity; Pharmaceutical formulation and scale-up; Preclinical safety assessment; Bioavailability, bioequivalence, and pharmacokinetics; Phase, I, II, and III clinical development including complex innovative designs; Premarket approval assessment of clinical safety; Postmarketing surveillance; Big data and artificial intelligence and applications.
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