...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Emerging themes in epidemiology >Seven mistakes and potential solutions in epidemiology, including a call for a World Council of Epidemiology and Causality
【24h】

Seven mistakes and potential solutions in epidemiology, including a call for a World Council of Epidemiology and Causality

机译：流行病学中的七个错误和可能的解决方案，包括呼吁成立世界流行病学和因果关系理事会

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

All sciences make mistakes, and epidemiology is no exception. I have chosen 7 illustrative mistakes and derived 7 solutions to avoid them. The mistakes (Roman numerals denoting solutions) are: 1. Failing to provide the context and definitions of study populations. (I Describe the study population in detail) 2. Insufficient attention to evaluation of error. (II Don't pretend error does not exist.) 3. Not demonstrating comparisons are like-for-like. (III Start with detailed comparisons of groups.) 4. Either overstatement or understatement of the case for causality. (IV Never say this design cannot contribute to causality or imply causality is ensured by your design.) 5. Not providing both absolute and relative summary measures. (V Give numbers, rates and comparative measures, and adjust summary measures such as odds ratios appropriately.) 6. In intervention studies not demonstrating general health benefits. (VI Ensure general benefits (mortality/morbidity) before recommending application of cause-specific findings.) 7. Failure to utilise study data to benefit populations. (VII Establish a World Council on Epidemiology to help infer causality from associations and apply the work internationally.) Analysis of these and other common mistakes is needed to benefit from the increasing discovery of associations that will be multiplying as data mining, linkage, and large-scale scale epidemiology become commonplace.
机译：所有科学都会犯错，流行病学也不例外。我选择了7个说明性的错误并得出了7个解决方案来避免它们。错误（罗马数字表示解决方案）是：1.未能提供研究人群的背景和定义。 （我将详细描述研究人群）2.对错误评估的重视不足。 （II不假装不存在错误。）3.不证明比较是按需进行的。 （III从各组的详细比较开始。）4.因果关系案例的说法过高或过低。 （IV永远不要说此设计不能促成因果关系，也不能暗示您的设计可以确保因果关系。）5.不提供绝对和相对的摘要度量。 （V给出数字，费率和比较措施，并适当调整汇总率，例如比值比。）6.在干预研究中未显示出一般的健康益处。 （VI在建议应用针对具体原因的发现之前，应确保获得总体收益（死亡率/发病率）。）7.无法利用研究数据使人群受益。 （第七，成立世界流行病学委员会，以帮助推断协会的因果关系并将其应用于国际。）需要对这些以及其他常见错误进行分析，以从不断发现的协会中受益，协会的发现将随着数据挖掘，链接和大型化而倍增。大规模规模流行病学变得司空见惯。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号