Reinventing Biostatistics Education for Basic Scientists

被引:42
|
作者
Weissgerber, Tracey L. [1 ]
Garovic, Vesna D. [1 ]
Milin-Lazovic, Jelena S. [2 ]
Winham, Stacey J. [3 ]
Obradovic, Zoran [4 ]
Trzeciakowski, Jerome P. [5 ]
Milic, Natasa M. [1 ,2 ]
机构
[1] Mayo Clin, Div Nephrol & Hypertens, Rochester, MN USA
[2] Univ Belgrade, Fac Med, Dept Med Stat & Informat, Belgrade, Serbia
[3] Mayo Clin, Div Biomed Stat & Informat, Rochester, MN USA
[4] Temple Univ, Ctr Data Analyt & Biomed Informat, Philadelphia, PA 19122 USA
[5] Texas A&M Univ, Dept Med Physiol, Texas A&M Hlth Sci Ctr, College Stn, TX USA
来源
PLOS BIOLOGY | 2016年 / 14卷 / 04期
关键词
PSEUDOREPLICATION; POWER;
D O I
10.1371/journal.pbio.1002430
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Numerous studies demonstrating that statistical errors are common in basic science publications have led to calls to improve statistical training for basic scientists. In this article, we sought to evaluate statistical requirements for PhD training and to identify opportunities for improving biostatistics education in the basic sciences. We provide recommendations for improving statistics training for basic biomedical scientists, including: 1. Encouraging departments to require statistics training, 2. Tailoring coursework to the students' fields of research, and 3. Developing tools and strategies to promote education and dissemination of statistical knowledge. We also provide a list of statistical considerations that should be addressed in statistics education for basic scientists.
引用
收藏
页数:12
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