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评估一种保守疗法所需的样本量要求。

Sample size requirements for evaluating a conservative therapy.

作者信息

Makuch R, Simon R

出版信息

Cancer Treat Rep. 1978 Jul;62(7):1037-40.

PMID:688245
Abstract

Determination of an adequate sample size for a clinical trial has traditionally involved the specification of type I (false positive) and type II (false negative) error rates, and a difference that one wishes to detect. Because newer therapy has generally been more invasive or more toxic, it is conventional for the type I error to be 0.05 in order that new therapy not be accepted as superior unless its advantages are definitively established. Recently, many new trials have been directed toward showing that a more conservative treatment is equivalent in efficacy to a standard intensive therapy. In this paper, we provide formulas which prescribe the sample size necessary to meet certain criteria specified by the investigator for this alternative type of clinical trial. In addition, the percent increase in total sample size is described when more patients are allocated to one treatment than the other.

摘要

传统上,确定一项临床试验的足够样本量涉及指定I型(假阳性)和II型(假阴性)错误率,以及希望检测到的差异。由于新疗法通常更具侵入性或毒性更大,因此I型错误通常设定为0.05,以便新疗法在其优势未得到明确证实时不被认为优于现有疗法。最近,许多新试验旨在表明一种更保守的治疗在疗效上与标准强化治疗相当。在本文中,我们提供了公式,这些公式规定了满足研究者为这种另类临床试验指定的某些标准所需的样本量。此外,还描述了当分配给一种治疗的患者比另一种治疗更多时,总样本量增加的百分比。

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