Balance Index to Determine the Follow-Up Duration of Oncology Trials.

IF 1.3 4区 医学 Q4 PHARMACOLOGY & PHARMACY Pharmaceutical Statistics Pub Date : 2024-10-11 DOI:10.1002/pst.2442
Lei Yang, Feinan Lu
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Abstract

Several indices were suggested to determine the follow up duration in oncology trials from either maturity or stability perspective, by maximizing time t $$ t $$ such that the index was either greater or less than a pre-defined cutoff value. However, the selection of cutoff value was subjective and usually no commonly agreed cutoff value existed; sometimes one had to resort to simulations. To solve this problem, a new balance index was proposed, which integrated both data stability and data maturity. Its theoretical properties and relationships with other indices were investigated; then its performance was demonstrated through a case study. The highlights of the index are: (1) easy to calculate; (2) free of cutoff value selection; (3) generally consistent with the other indices while sometimes able to shorten the follow-up duration thus more flexible. For the cases where the new balance index cannot be calculated, a modified balance index was also proposed and discussed. For either single arm trial or randomized clinical trial, the two new balance indices can be implemented to widespread situations such as designing a new trial from scratch, or using aggregated trial information to inform the decision-making in the middle of trial conduct.

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确定肿瘤学试验随访时间的平衡指数。
有人提出了几种指数,从成熟或稳定的角度来确定肿瘤试验的随访时间,方法是最大限度地延长时间 t $$ t $$,使指数大于或小于预先确定的临界值。然而,临界值的选择是主观的,通常不存在共同认可的临界值,有时不得不求助于模拟。为了解决这个问题,我们提出了一个新的平衡指数,它综合了数据稳定性和数据成熟度。我们研究了该指数的理论属性以及与其他指数的关系,然后通过案例研究证明了该指数的性能。该指数的亮点在于(1) 计算简便;(2) 无需选择临界值;(3) 与其他指数基本一致,有时还能缩短跟踪时间,因此更加灵活。对于无法计算新平衡指数的情况,还提出并讨论了修正平衡指数。对于单臂试验或随机临床试验,这两种新的平衡指数可广泛应用于各种情况,如从零开始设计新的试验,或在试验进行过程中利用汇总的试验信息为决策提供参考。
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来源期刊
Pharmaceutical Statistics
Pharmaceutical Statistics 医学-统计学与概率论
CiteScore
2.70
自引率
6.70%
发文量
90
审稿时长
6-12 weeks
期刊介绍: Pharmaceutical Statistics is an industry-led initiative, tackling real problems in statistical applications. The Journal publishes papers that share experiences in the practical application of statistics within the pharmaceutical industry. It covers all aspects of pharmaceutical statistical applications from discovery, through pre-clinical development, clinical development, post-marketing surveillance, consumer health, production, epidemiology, and health economics. The Journal is both international and multidisciplinary. It includes high quality practical papers, case studies and review papers.
期刊最新文献
Bayesian Solutions for Assessing Differential Effects in Biomarker Positive and Negative Subgroups. Pre-Posterior Distributions in Drug Development and Their Properties. Beyond the Fragility Index. A Model-Based Trial Design With a Randomization Scheme Considering Pharmacokinetics Exposure for Dose Optimization in Oncology. Potential Bias Models With Bayesian Shrinkage Priors for Dynamic Borrowing of Multiple Historical Control Data.
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