MedElevator Войти в исследования
← Поиск публикаций

DOI 10.1080/19466315.2025.2566339

Медицинская библиотека · Statistics in biopharmaceutical research · 2025

Group Sequential Design and Monitoring of Clustered Data in Randomized Eye Trials.

Diao Guoqing, Zhang Qiang, Hamasaki Toshimitsu, Evans Scott

СтатьяПеревод в очереди

Аннотация

Group sequential designs are the most commonly used methods for randomized clinical trials with interim monitoring plans, which control the type I error rate and protect statistical power. However, to the best of our knowledge, group sequential methods accounting for the inter-eye correlation under a unified design in randomized eye trials, do not exist in the literature. Failing to account for inter-eye correlations may lead to unnecessary study continuation or early stopping. We propose a unified group sequential design for vision research that accommodates all possible design options while accounting for inter-eye correlations when both eyes of a patient are included in the study for at least some patients. We derive closed-form formulae for the sample size/power calculations for fixed-sample designs and the information fractions during interim monitoring for group sequential designs while accounting for the inter-eye correlation for continuous endpoints. Simulation studies and an application to the Age-Related Eye Disease Study are provided. An R package iTrial implementing the proposed methodology is publicly available.

Для цитирования: Diao Guoqing, Zhang Qiang, Hamasaki Toshimitsu, Evans Scott. Group Sequential Design and Monitoring of Clustered Data in Randomized Eye Trials.. Statistics in biopharmaceutical research. 2025. DOI: 10.1080/19466315.2025.2566339.
Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.