Study designs and statistical methods in the Journal of Family and Community Medicine: 1994-2010

《家庭与社区医学杂志》1994-2010年研究设计和统计方法

阅读:1

Abstract

INTRODUCTION: The Journal of Family and Community Medicine (JFCM) is the official peer reviewed scientific publication of the Saudi Society of Family and Community Medicine. Unlike many peer medical journals, the contents of JFCM, have never been analyzed. The objective of this study was to perform an analysis of the contents of the JFCM over a 16-year period to discern the study designs and statistical methods used with a view to improving future contents of the journal. MATERIALS AND METHODS: All volumes of the JFCM, from 1 January 1994 to 31 December 2010 were hand searched for research articles. All papers identified as original articles were selected. For every article, the study designs and the statistical methods used were recorded. Articles were then classified according to their statistical methods and study designs. The frequency of study designs was calculated as a simple percentage of the total number of articles, while the frequency of statistical methods was calculated as a percentage of articles that used those statistical methods. RESULTS: A total of 229 articles were analyzed. Of these, 66 (28.8%) either reported no statistics or reported simple summaries. The cross-sectional design was used in 175 (76.4%) of all analyzed articles. Statistical methods were used in 163 (71.2%) articles. Chi-squared test was used in 111 (68.1%) articles, and t-test used in 48 (29.4%) articles. Other common statistical tests were: Regression, which was used in 35 (21.5%) articles, ANOVA used in 23 (14.1%) articles, and odds ratio and relative risk tests which were used in 22 (13.5%) articles. CONCLUSIONS: The JFCM has a wide range of study designs and statistical methods. However, no article on experimental studies has been published in the JFCM since its inception.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。