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珍珠指数置信区间和样本量计算的建议。

Recommendation for confidence interval and sample size calculation for the Pearl Index.

作者信息

Gerlinger C, Endrikat J, van der Meulen E A, Dieben T O M, Düsterberg B

机构信息

Schering AG, Berlin, Germany.

出版信息

Eur J Contracept Reprod Health Care. 2003 Jun;8(2):87-92.

Abstract

A new guideline on the clinical investigation of steroid contraceptives in women, which has been released by the European Agency for the Evaluation of Medicinal Products (EMEA), calls for the calculation of a confidence interval for the Pearl Index, a widely used measure to describe the effectiveness of a contraceptive method. However, the interpretation of the Pearl Index as a statistical parameter, for which a confidence interval can be calculated, needs further clarification. The guideline does not provide the necessary definitions. In this paper, two statistical models, the Bernoulli model and the Poisson model, are compared; both can be used for the calculation of the Pearl Index and its upper confidence limit. The Poisson model proved to be more suitable, because it can accommodate incomplete treatment cycles. Unambiguous definitions and statistical formulae for the calculation of overall Pearl Index and the Method Failure Pearl Index are given. Finally, the sample sizes required to fulfill the EMEA's guideline are given.

摘要

欧洲药品评估局(EMEA)发布的一项关于女性甾体避孕药临床研究的新指南要求计算Pearl指数的置信区间,Pearl指数是一种广泛用于描述避孕方法有效性的指标。然而,将Pearl指数解释为可计算置信区间的统计参数需要进一步阐明。该指南未提供必要的定义。本文比较了两种统计模型,即伯努利模型和泊松模型;两者均可用于计算Pearl指数及其上置信限。结果证明泊松模型更合适,因为它可以处理不完整的治疗周期。给出了计算总体Pearl指数和方法失败Pearl指数的明确定义和统计公式。最后,给出了满足EMEA指南要求所需的样本量。

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