对初始数据分析采用系统的方法是良好的研究实践。

A systematic approach to initial data analysis is good research practice.

作者信息

Huebner Marianne, Vach Werner, le Cessie Saskia

机构信息

Department of Statistics and Probability, Michigan State University, East Lansing, Mich; Institute for Medical Biometry and Statistics, Medical Center, University of Freiburg, Freiburg, Germany.

Institute for Medical Biometry and Statistics, Medical Center, University of Freiburg, Freiburg, Germany.

出版信息

J Thorac Cardiovasc Surg. 2016 Jan;151(1):25-7. doi: 10.1016/j.jtcvs.2015.09.085. Epub 2015 Sep 28.

DOI:10.1016/j.jtcvs.2015.09.085

PMID:26602896

Abstract

Initial data analysis is conducted independently of the analysis needed to address the research questions. Shortcomings in these first steps may result in inappropriate statistical methods or incorrect conclusions. We outline a framework for initial data analysis and illustrate the impact of initial data analysis on research studies. Examples of reporting of initial data analysis in publications are given. A systematic and careful approach to initial data analysis is needed as good research practice.

摘要

初始数据分析是独立于解决研究问题所需的分析进行的。这些第一步中的缺点可能会导致不适当的统计方法或错误的结论。我们概述了一个初始数据分析框架，并说明了初始数据分析对研究的影响。给出了出版物中初始数据分析报告的示例。作为良好的研究实践，需要一种系统且谨慎的方法来进行初始数据分析。