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论应用于临床试验的统计方法的演变

On the evolution of statistical methods as applied to clinical trials.

作者信息

Machin D

机构信息

Division of Clinical Trials and Epidemiological Sciences, National Cancer Centre, Singapore, Republic of Singapore.

出版信息

J Intern Med. 2004 May;255(5):521-8. doi: 10.1111/j.1365-2796.2004.01319.x.

Abstract

This paper describes how statistical methods have evolved in parallel with activities associated with randomized control trials. In particular we emphasize the pivotal role of two papers published in British Journal of Cancer, and the paper describing the Cox proportional hazards model. In addition, the importance of early papers on estimating the sample size required for trials is highlighted. Later developments including the increasing roles for competing risks, multilevel modelling and Bayesian methodologies are described. The interplay between computer software and statistical methodological developments is stressed. Finally some future directions are indicated.

摘要

本文描述了统计方法如何与随机对照试验相关活动并行发展。特别是,我们强调了发表在《英国癌症杂志》上的两篇论文以及描述Cox比例风险模型的论文所起的关键作用。此外,还强调了早期关于估计试验所需样本量的论文的重要性。文中描述了后来的发展,包括竞争风险、多水平建模和贝叶斯方法的作用日益增加。强调了计算机软件与统计方法发展之间的相互作用。最后指出了一些未来的方向。

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