bioon.com 生物谷
生物谷RSS 生物谷手机WAP浏览支持
专业平台生物 | 产业 | 药学 | 医学 | 视频 | 实验 | 健康 | 图谱 | 考试 | 招聘 | 社区 | VIP | English
企业服务产品平台 | 仪器大全 | 供求信息 | 试剂大全 | 会议会展 | 黄页 | 广告 | 服务 | 生意通 | E-solution
个人服务彩信 | 继续教育 | 博客 | 书库 | 求职 | 网址导航 | 下载 | 论坛 | 投稿 | TILS
您现在的位置: 生物谷 >> 医学 >> 分类资讯 >> 继续教育 >> 医学频道正文
rss

怎样读医学杂志文献?(英文原文1)

impact the early termination of the study had on the statistics. Early termination of a study can cause serious biases, unless specific rules for early termination are established at the start of the study.

Premature discontinuation of clinical trial for reasons not related to efficacy, safety, or feasibility ?/font> Commentary: Early discontinuation violates Helsinki principles. Michel Li鑦re, Jo雔 M閚ard, Eric Bruckert, Jo雔 Cogneau, Fran鏾is Delahaye, Philippe Giral, Eran Leitersdorf, G閞ald Luc, Luis Masana, Philippe Moulin, Philippe Passa, Denis Pouchain, G閞ard Siest, and K Boyd. BMJ 2001; 322: 603-606. [Full text]

Responsibilities of sponsors are limited in premature discontinuation of trials. Richard Ashcroft. BMJ 2001; 323: 53. [Full text]  

Did the authors discard outliers?

You should be skeptical of any study that removes outliers. Inappropriate removal of outliers can seriously bias the study results.

Sometimes the outliers are more interesting than the bulk of the data themselves. You may gain more insight by trying to uncover the cause of an outlying observation than you would by examining the relatively small effects that occur with the rest of the data.

It is generally a bad idea to remove data points on the basis of their data values alone. If an investigation of an outlier leads to a discovery of a typing error or the inclusion of a subject who did not meet the pre-specified inclusion criteria, then correction or removal of the outlier is appropriate.

If there is no such justification, then the best solution is to leave the outlier alone. Another alternative is reporting data analysis results both with and without the outlier.

An example of inappropriate outlier deletion.

The NASA web site has an interesting example of outlier deletion. Researchers in the 1980s first published information about the hole in the ozone layer above Antarctica. These researchers were nervous because the results from the British Antarctic survey did not match results from earlier years taken by an American satellite. The authors discovered, however, that the American satellite had a computer filter built in that automatically removed any large sudden changes in ozone concentration which it considered as instrument errors. When this filter was removed, the authors were able to trace the development of the ozone hole all the way back to 1976.

Further details about the history of the ozone hole can be found at the NASA web site.

[library/pages/sparling.htm]

Summary - Was there a plan?

The presence of a plan developed before data collection and analysis adds to the quality of a publication.

2.1 Did the research have a narrow focus? A large number of comparisons limits the amount of evidence that you can place on any single conclusion. Results from a limited number of planned comparisons are considered more authoritative.

2.2 Did the authors deviate from the plan? While minor deviations are expected, be cautious about major deviations from the research plan, such as developing new exclusion criteria during the course of the study. In particular, removing outliers without a sound scientific reason is dangerous.

上一页  [1] [2] [3] [4] [5] [6] 

医学频道录入:5love6    责任编辑:5love6 


评论】【收藏】【告诉好友】【打印】 【返回顶部】 【直达首页】 【网站地图】 【进入论坛】 【转入博客】  

文章评论(评论内容只代表网友观点,与生物谷立场无关!

最新资讯
热点聚焦
推荐文章
 
 
关于我们 | 广告服务 | 联系方式 | 帮助信息 | 服务条款 | 法律声明 | 战略伙伴 | 友情链接 | 生意通 | 网站地图 | Bioon English
Copyright © 2001-2007 生物谷 bioon.com , All Rights Reserved. 版权所有
不良信息举报信箱:editor#bioon.com
网站备案:沪ICP备05022939号