Department of Medicine, Division of Cardiovascular Medicine; UMass Metabolic Network
Biostatistics | Life Sciences | Statistics and Probability
In this review, we focused on common sources of confusion and errors in the analysis and interpretation of basic science studies. The issues addressed are seen repeatedly in the authors' editorial experience, and we hope this article will serve as a guide for those who may submit their basic science studies to journals that publish both clinical and basic science research. We have discussed issues related to sample size and power, study design, data analysis, and presentation of results. We then illustrated these issues using a set of examples from basic science research studies.
basic science, biostatistics, statistics
Rights and Permissions
© 2016 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley Blackwell.
DOI of Published Version
J Am Heart Assoc. 2016 Sep 29;5(10). pii: e004142. Link to article on publisher's site
Journal of the American Heart Association
Sullivan LM, Weinberg J, Keaney JF. (2016). Common Statistical Pitfalls in Basic Science Research. Open Access Articles. https://doi.org/10.1161/JAHA.116.004142. Retrieved from https://escholarship.umassmed.edu/oapubs/2943
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License