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癌症流行病学中常见效应参数的置信区间。

Confidence intervals for effect parameters common in cancer epidemiology.

作者信息

Sato T

机构信息

Department of Epidemiology, School of Health Sciences, Faculty of Medicine, University of Tokyo, Japan.

出版信息

Environ Health Perspect. 1990 Jul;87:95-101. doi: 10.1289/ehp.908795.

DOI:10.1289/ehp.908795
PMID:2269246
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1567814/
Abstract

This paper reviews approximate confidence intervals for some effect parameters common in cancer epidemiology. These methods have computational feasibility and give nearly nominal coverage rates. In the analysis of crude data, the simplest type of epidemiologic analysis, parameters of interest are the odds ratio in case-control studies and the rate ratio and difference in cohort studies. These parameters can estimate the instantaneous-incidence-rate ratio and difference that are the most meaningful effect measures in cancer epidemiology. Approximate confidence intervals for these parameters including the classical Cornfield's method are mainly based on efficient scores. When some confounding factors exist, stratified analysis and summary measures for effect parameters are needed. Since the Mantel-Haenszel estimators have been widely used by epidemiologists as summary measures, confidence intervals based on the Mantel-Haenszel estimators are described. The paper also discusses recent developments in these methods.

摘要

本文回顾了癌症流行病学中一些常见效应参数的近似置信区间。这些方法具有计算可行性,并给出接近名义覆盖率。在粗数据的分析中,这是最简单的流行病学分析类型,感兴趣的参数在病例对照研究中是比值比,在队列研究中是率比和率差。这些参数可以估计瞬时发病率比和差,它们是癌症流行病学中最有意义的效应量度。这些参数的近似置信区间,包括经典的Cornfield方法,主要基于有效得分。当存在一些混杂因素时,需要进行分层分析和效应参数的汇总测量。由于Mantel-Haenszel估计量已被流行病学家广泛用作汇总测量,因此描述了基于Mantel-Haenszel估计量的置信区间。本文还讨论了这些方法的最新进展。