随机对照试验的评估:精神健康研究人员的入门和教程
Mathias Harrer1,2, Pim Cuijpers3,4, Lea K J Schuurmans5
1Psychology and Digital Mental Health Care, Technical University Munich, Georg-Brauchle-Ring 60-62, Munich, 80992, Germany. mathias.harrer@tum.de.
Trials
|August 30, 2023
概括
本书通过详细介绍评估和分析的最佳实践,提高了心理健康研究中的随机对照试验 (RCT) 的质量. 它旨在提高RCT研究结果对患者护理的稳定性和影响.
科学领域:
- 心理健康研究 心理健康研究
- 临床试验方法论 临床试验方法论
- 统计分析 统计分析
背景情况:
- 随机对照试验 (RCT) 对基于证据的心理健康护理至关重要.
- 心理健康RCT的质量不佳的评估,包括数据处理和报告,威胁到研究的稳定性.
- 需要更好地了解高质量的RCT评估,以加强心理健康研究.
研究的目的:
- 介绍心理健康研究中评估临床试验的核心概念和最佳实践.
- 通过使用开源统计软件来证明这些最佳实践的实施.
- 解决常见的陷,提高这一领域的RCT的质量.
主要方法:
- 利用Rubin的潜在结果框架来解释RCT中的因果关系.
- 讨论缺少数据的影响,并引入试验估计值以进行一致的分析.
- 提供一个合适的分析模型来测试治疗效果,并提供使用R软件的教程.
主要成果:
- 通过确保潜在结果的可交换性,RCT促进因果推断.
- 如果失踪数据是系统的,失踪数据可能会损害有效性;试验估计将分析与研究目标对齐.
- 描述了用于测试治疗效果的分析模型,并使用R和现实世界的数据进行了实践教程.
结论:
- 试验室试验室的设计缺陷,如缺乏潜在的注册和忠诚偏见,可能会影响心理健康研究.
- 盲目的挑战,不足的试验和有选择性的报道被讨论为"弱点".
- 此外,还研究了RCT的外部有效性及其在个性化心理健康护理中的作用.
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