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Postgraduate Education Corner: MEDICAL WRITING TIP OF THE MONTH |

Hypothesis Testing, Study Power, and Sample Size

Bart J. Harvey, MD, PhD; Thomas A. Lang, MA
Author and Funding Information

From the Dalla Lana School of Public Health, Department of Family and Community Medicine, and the Department of Surgery (Dr Harvey), University of Toronto, Toronto, ON, Canada; and Tom Lang Communications and Training (Mr Lang), Davis, CA.

Correspondence to: Bart J. Harvey, MD, PhD, Dalla Lana School of Public Health, University of Toronto, Room 688, 155 College St, Toronto, ON, M5T 3M7, Canada; e-mail: bart.harvey@utoronto.ca


Reproduction of this article is prohibited without written permission from the American College of Chest Physicians (http://www.chestpubs.org/site/misc/reprints.xhtml).


© 2010 American College of Chest Physicians


Chest. 2010;138(3):734-737. doi:10.1378/chest.10-0067
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Extract

Two earlier articles in this Medical Writing Tips series presented several guidelines for reporting important statistical information in scientific articles, including hypothesis testing.1,2 In this article, we briefly review hypothesis testing to set the stage for discussing two additional statistical procedures used for planning and interpreting scientific studies: estimating sample size and calculating study power.

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