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随机对照试验 6:确定临床试验和队列研究的样本量和功效。

Randomized Controlled Trials 6: Determining the Sample Size and Power for Clinical Trials and Cohort Studies.

机构信息

Internal Medicine, School of Medicine, University of Utah, Salt Lake City, UT, USA.

出版信息

Methods Mol Biol. 2021;2249:281-305. doi: 10.1007/978-1-0716-1138-8_16.

Abstract

Performing well-powered, randomized, controlled trials is of fundamental importance in clinical research. The goal of sample size calculations is to assure that statistical power is sufficiently high when the probability of falsely rejecting a true null hypothesis (type I error) is kept acceptably small. This chapter overviews the fundamental of sample size calculation for standard types of outcomes for 2-group studies. It also considers (1) the problem of determining the size of the treatment effect that a study should be designed to detect, (2) modifications to sample size calculations to account for loss to follow-up and nonadherence, (3) options that can be used when initial calculations indicate that the feasible sample size is insufficient to provide adequate power, (4) implications of using multiple primary end points. In addition, a discussion of cluster randomized trials is provided. Sample size estimates for longitudinal cohort studies must take account of confounding by baseline factors.

摘要

在临床研究中,进行充分有力的随机对照试验至关重要。样本量计算的目的是确保在可接受地保持小的错误拒绝真实零假设(I 型错误)的概率时,统计功效足够高。本章概述了 2 组研究中标准结局类型的样本量计算的基本原理。它还考虑了(1)确定研究应设计以检测的治疗效果大小的问题,(2)为随访和不依从而修改样本量计算,(3)当初步计算表明可行的样本量不足以提供足够的功效时可以使用的选项,(4)使用多个主要终点的影响。此外,还提供了群组随机试验的讨论。纵向队列研究的样本量估计必须考虑到基线因素的混杂。

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