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基于随机化的疗效估计器的用途和局限性。

Uses and limitations of randomization-based efficacy estimators.

作者信息

White Ian R

机构信息

MRC Biostatistics Unit, Institute of Public Health, Robinson Way, Cambridge CB2 2SR, UK.

出版信息

Stat Methods Med Res. 2005 Aug;14(4):327-47. doi: 10.1191/0962280205sm406oa.

DOI:10.1191/0962280205sm406oa
PMID:16178136
Abstract

In randomized trials with departures from allocated treatment, intention-to-treat analysis is important but not always sufficient. The most common supplement to intention-to-treat analysis is per-protocol analysis, whose assumption of comparability between different nonrandomized groups is often implausible. Randomization-based methods avoid making this assumption and are preferable. Situations where intention-to-treat analysis is insufficient and a randomization-based method is useful include provision of patient information, exploration of treatment-covariate and treatment-time interactions, meta-analysis, and equivalence trials.

摘要

在偏离分配治疗方案的随机试验中,意向性分析很重要,但并不总是足够的。意向性分析最常见的补充是符合方案分析,其关于不同非随机分组之间具有可比性的假设往往不可信。基于随机化的方法避免了做出这一假设,因而更可取。意向性分析不足而基于随机化的方法有用的情况包括提供患者信息、探索治疗协变量与治疗时间的相互作用、荟萃分析以及等效性试验。

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