• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Homeopathy: the journal of the Faculty of Homeopathy >Generalisability of prognostic factor research: further analysis of data from the IIPCOS2 study
【24h】

Generalisability of prognostic factor research: further analysis of data from the IIPCOS2 study

机译：预后因素研究的普遍性：IIPCOS2研究的数据进一步分析

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Prognostic factor research is important as it helps in refining diagnosis, taking clinical and therapeutic decisions, enhances the design and analysis of intervention trials and helps to identify targets for new interventions that aim to modify the course of a disease. Prognostic factor research in homeopathy can be done by applying Bayes' theorem. This paper considers Bayes' theorem; Likelihood Ratio, conditional probability and research in subpopulations of a condition with examples. We analysed the likelihood ratios for 11 homeopathic medicines for the symptom ‘cough’ and other upper respiratory tract symptoms, based on data from the IIPCOS2 study. This yielded useful information since several medicines, including Belladonna, had LR 1 for cough, indicating that cough is not an indication for this medicine. The implications for improving homeopathic prescribing are discussed. Highlights ? Prognostic factor research in homeopathy can be done by applying Bayes' theorem. ? Variants of Bayes' theorem are Likelihood Ratio and conditional probability. ? Research in subpopulations of a condition can be done wherein it would be better to use conditional probability. ? Utility and limitations of condition confined assessment in prognostic factor research. ? Research protocols can be designed for applying prognostic factor research in a universal manner. ]]>
机译：预后因素研究很重要，因为它有助于完善诊断，做出临床和治疗决策，增强干预试验的设计和分析，并有助于确定旨在改变疾病过程的新干预措施的目标。可以通过应用贝叶斯定理来完成顺势疗法的预后因素研究。本文认为贝叶斯的定理;可能性比率，有条件的概率和与例子的子群中的研究。我们根据IIPCOS2研究的数据，分析了11种顺势疗法药物和其他上呼吸道症状的可能性比率。这产生了有用的信息，因为几种药物，包括 belladonna ，咳嗽1 lr＆ 1，表明咳嗽不是这种药物的迹象。讨论了改善顺势疗法处方的含义。 亮点 ？ 顺势疗法的预后因素研究可以通过应用贝叶斯定理来完成。 ？ 贝叶斯定理的变体是似然比和条件概率。 ？ 可以在某种情况下进行的研究，可以在其中完成。 er使用条件概率。 ？ 效用和预后因素研究中的条件限制评估的局限性。 ？ 可以设计用于以通用方式应用预后因素研究的研究协议。 ]]>

著录项

相似文献

  • 外文文献
  • 中文文献
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