%A Stoltzfus, Jill
%T Analysis of repeated measures data: A quick primer
%9 Biostatistics
%D 2016
%J International Journal of Academic Medicine
%R 10.4103/2455-5568.183320
%P 95-97
%V 2
%N 1
%U http://www.ijam-web.org/article.asp?issn=2455-5568;year=2016;volume=2;issue=1;spage=95;epage=97;aulast=Stoltzfus
%8 January 1, 2016
%X When analyzing data for dependent groups (e.g., before and after intervention), one use repeated measures statistical tests that account for the correlated observations. For normally distributed data measured on a continuous/interval scale (e.g., fasting glucose) with only two points of measurement (e.g., before and after), one would conduct a paired *t*-test. For more than two measurement points (e.g., baseline, 3 months, 6 months), repeated measures analysis of variance is appropriate. For skewed continuous/interval data (e.g., body mass index in the general population), or ordinal data (e.g., visual analog pain scores), one could conduct a Wilcoxon signed-rank test (for two measurement points) or a Friedman's test (for more than two measurement points).
**The following core competencies are addressed in this article:** Medical knowledge.
%0 Journal Article
%I Wolters Kluwer Medknow Publications
%@ 2455-5568