Abstract

Statistical methods are vital to biomedical research. Our aim was to find out whether progress has been made in the last decade in the use of statistical methods in Chinese medical research. We reviewed 10 leading Chinese medical journals published in 1998 and in 2008. Regarding statistical methods, using a multiple t-test for multiple group comparison was the most common error in the t-test in both years, which significantly decreased in 2008. In contingency tables, no significant level adjustment for multiple comparison significantly decreased in 2008. In ANOVA, over a quarter of articles misused the method of multiple pair-wise comparison in both years, and no significant difference was seen between the two years. In the rank transformation nonparametric test, the error of using multiple pair-wise comparison for multiple group comparison became less common. Many mistakes were found in the randomised controlled trial (56.3% in 1998; 67.9% in 2008), non- randomised clinical trial (57.3%; 58.6%), basic science study (72.9%; 65.5%), case study or case series study (48.4%; 47.2%), and cross-sectional study (57.1%; 44.2%). Progress has been made in the use of statistical methods in Chinese medical journals, but much is yet to be done.

Highlights

  • Statistics play a key role in biomedical research [1,2,3,4,5,6]; their correct use is essential to a high-quality study

  • The prevalence of using multiple t-tests for multiple group comparisons was disconcerting: 31.1% (153/492) in 1998 and 22.6% (129/570) in 2008 (χ 2 = 9.71, P = 0.002, odds ratio (OR) = 1.54, 95% confidence interval (CI): 1.17 to 2.03)

  • The biggest problem was the inappropriate choice of statistical methods

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Summary

Introduction

Statistics play a key role in biomedical research [1,2,3,4,5,6]; their correct use is essential to a high-quality study. The misuse or inaccurate use of statistical methods may point the research in the wrong direction and produce incorrect study results. According to the database of the Institute for Scientific Information (ISI), there has been a significant increase in the quantity and quality of Chinese biomedical publications in the last two decades, especially in the last decade [7]. It is common to find inappropriate statistical methods in Chinese medical journals. He et al reported in 2009 that many more statistical errors existed in Chinese medical journals than in international journals [8]

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