title: Statistical methods for analyzing repeated measures.
abstract: Repeated measurements arise frequently in biomedical research. In many situations, the scientific question of interest concerns finding differences in the measurements between groups. This question is frequently addressed by using analysis of variance-type methods that fail to incorporate information regarding the repeated sampling design of the experiment. In this paper, we provide an introduction to nonstatisticians of two approaches for analyzing such data. The procedures can be performed by using available software. These methods are illustrated on data from a preclinical study conducted by ZymoGenetics.
authors.affiliation: Department of Biostatistics, University of Washington, Box 357232, Seattle, WA 98195-7232, USA. dghosh@biostat.washington.edu
authors.forename: D
authors.initials: D
authors.lastname: Ghosh
authors.forename: T A
authors.initials: TA
authors.lastname: Deisher
authors.forename: J L
authors.initials: JL
authors.lastname: Ellsworth
mesh_terms: D000806:Angiotensin-Converting Enzyme Inhibitors / Q000627:therapeutic use; D000818:Animals; D001794:Blood Pressure / Q000187:drug effects; D003627:Data Interpretation, Statistical; D004280:Dobutamine / Q000494:pharmacology; D004305:Dose-Response Relationship, Drug; D004656:Enalapril / Q000627:therapeutic use; D008297:Male; D015233:Models, Statistical; D009203:Myocardial Infarction / Q000188:drug therapy / Q000503:physiopathology; D051381:Rats; D017207:Rats, Sprague-Dawley; D013223:Statistics as Topic / Q000379:methods*; D016277:Ventricular Function, Left / Q000187:drug effects
chemical_list: D000806:Angiotensin-Converting Enzyme Inhibitors; D004280:Dobutamine; D004656:Enalapril