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Nutrition in Clinical Practice
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Invited Review

Biostatistics Primer: Part I

Brian R. Overholser, PharmD and Kevin M. Sowinski, PharmD, BCPS, FCCP

Department of Pharmacy Practice, Purdue University, School of Pharmacy and Pharmaceutical Sciences, West Lafayette and Indianapolis, Indiana; and the Department of Medicine, Indiana University, School of Medicine, Indianapolis, Indiana

Correspondence: Kevin M. Sowinski, PharmD, BCPS, FCCP, Purdue University, Department of Pharmacy Practice, W7555 Myers Building, WHS, 1001 West Tenth Street, Indianapolis, IN 46202. Electronic mail may be sent to ksowinsk{at}purdue.edu.

Biostatistics is the application of statistics to biologic data. The field of statistics can be broken down into 2 fundamental parts: descriptive and inferential. Descriptive statistics are commonly used to categorize, display, and summarize data. Inferential statistics can be used to make predictions based on a sample obtained from a population or some large body of information. It is these inferences that are used to test specific research hypotheses. This 2-part review will outline important features of descriptive and inferential statistics as they apply to commonly conducted research studies in the biomedical literature. Part 1 in this issue will discuss fundamental topics of statistics and data analysis. Additionally, some of the most commonly used statistical tests found in the biomedical literature will be reviewed in Part 2 in the February 2008 issue.

Nutrition in Clinical Practice, Vol. 22, No. 6, 629-635 (2007)
DOI: 10.1177/0115426507022006629
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