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最佳（但常被遗忘）实践：在临床结局评估中表达和解释关联及效应量

Best (but oft-forgotten) practices: expressing and interpreting associations and effect sizes in clinical outcome assessments.

作者信息

McLeod Lori D, Cappelleri Joseph C, Hays Ron D

机构信息

RTI Health Solutions, Research Triangle Park, NC;

Pfizer Inc, Groton, CT; and.

出版信息

Am J Clin Nutr. 2016 Mar;103(3):685-93. doi: 10.3945/ajcn.115.120378. Epub 2016 Feb 10.

DOI:10.3945/ajcn.115.120378
PMID:26864358
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4763495/
Abstract

This article reviews methods used to facilitate the interpretation and evaluation of group-level differences in clinical outcome assessments. These methods complement and supplement tests of statistical significance. Examples, including studies in nutrition, are used to illustrate the application of the interpretation methods for group-level comparisons from experimental or observational studies. In addition, specific pitfalls of evaluating change in meta-analysis studies are described. A set of recommendations is provided. This review is intended as an introduction for the novice and as a refresher for the experienced researcher.

摘要

本文回顾了用于促进临床结局评估中组间差异的解释和评估的方法。这些方法补充和完善了统计学显著性检验。文中列举了包括营养研究在内的实例，以说明实验性或观察性研究中组间比较解释方法的应用。此外，还描述了荟萃分析研究中评估变化时的具体陷阱。并给出了一系列建议。本综述旨在为新手提供入门指导，也为经验丰富的研究人员提供复习资料。