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Presentation of numerical data.数值数据的呈现。
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The use of statistics in the British Journal of Psychiatry.《英国精神病学杂志》中统计学的应用。
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Mortality of copper cadmium alloy workers with special reference to lung cancer and non-malignant diseases of the respiratory system, 1946-92.1946 - 1992年铜镉合金工人的死亡率,特别提及肺癌和呼吸系统非恶性疾病
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Survey of methods and statistical models used in the analysis of occupational cohort studies.职业队列研究分析中使用的方法和统计模型调查
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An evaluation of the use of statistical methodology in the Journal of Infectious Diseases.《传染病杂志》中统计方法使用情况的评估。
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职业与环境研究报告:统计和流行病学方法的使用与误用

Reporting of occupational and environmental research: use and misuse of statistical and epidemiological methods.

作者信息

Rushton L

机构信息

MRC Institute for Environment and Health, University of Leicester, UK.

出版信息

Occup Environ Med. 2000 Jan;57(1):1-9. doi: 10.1136/oem.57.1.1.

DOI:10.1136/oem.57.1.1
PMID:10711263
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1739857/
Abstract

OBJECTIVES

To report some of the most serious omissions and errors which may occur in papers submitted to Occupational and Environmental Medicine, and to give guidelines on the essential components that should be included in papers reporting results from studies of occupational and environmental health.

METHODS

Since 1994 Occupational and Environmental Medicine has used a panel of medical statisticians to review submitted papers which have a substantial statistical content. Although some studies may have genuine errors in their design, execution, and analysis, many of the problems identified during the reviewing process are due to inadequate and incomplete reporting of essential aspects of a study. This paper outlines some of the most important errors and omissions that may occur. Observational studies are often the preferred choice of design in occupational and environmental medicine. Some of the issues relating to design, execution, and analysis which should be considered when reporting three of the most common observational study designs, cross sectional, case-control, and cohort are described. An illustration of good reporting practice is given for each. Various mathematical modelling techniques are often used in the analysis of these studies, the reporting of which causes a major problem to some authors. Suggestions for the presentation of results from modelling are made.

CONCLUSIONS

There is increasing interest in the development and application of formal "good epidemiology practices". These not only consider issues of data quality, study design, and study conduct, but through their structured approach to the documentation of the study procedures, provide the potential for more rigorous reporting of the results in the scientific literature.

摘要

目的

报告提交给《职业与环境医学》的论文中可能出现的一些最严重的遗漏和错误,并就职业与环境卫生研究结果报告中应包含的基本要素给出指导方针。

方法

自1994年以来,《职业与环境医学》一直使用一组医学统计学家来评审提交的具有大量统计内容的论文。尽管有些研究在设计、实施和分析中可能存在真正的错误,但评审过程中发现的许多问题是由于对研究基本方面的报告不充分和不完整所致。本文概述了可能出现的一些最重要的错误和遗漏。观察性研究通常是职业与环境医学中首选的设计方法。描述了在报告三种最常见的观察性研究设计(横断面研究、病例对照研究和队列研究)时应考虑的一些与设计、实施和分析相关的问题。每种研究都给出了良好报告实践的示例。在这些研究的分析中经常使用各种数学建模技术,其报告对一些作者来说是个主要问题。针对建模结果的呈现提出了建议。

结论

对正式的 “良好流行病学实践” 的开发和应用的兴趣日益浓厚。这些实践不仅考虑数据质量、研究设计和研究实施等问题,而且通过其对研究程序记录的结构化方法,为在科学文献中更严格地报告结果提供了可能性。