title: An application of methods for clustered binary responses to a cardiovascular study with small sample size.
abstract: This paper discusses statistical methods for a cardiovascular study in which each of eight animals had a dichotomous outcome observed for each of several treatments. There were five treatments in all: shunt, control, two doses of a test drug for potentially causing an unfavorable cardiovascular event, and a combination of the test drug and a counteracting agent. Exact conditional methods were used through LogXact, a statistical software for exact logistic regression and an alternative framework for performing a large class of nonparametric tests performed by StatXact. The results agreed reasonably with asymptotic methods even though the sample size was small.
authors.affiliation: Department of Biostatistics, School of Public Health, University of North Carolina at Chapel Hill 27599-7400, USA.
authors.forename: G
authors.initials: G
authors.lastname: Luta
authors.forename: G G
authors.initials: GG
authors.lastname: Koch
authors.forename: W E
authors.initials: WE
authors.lastname: Cascio
authors.forename: W T
authors.initials: WT
authors.lastname: Smith
mesh_terms: D000818:Animals; D002318:Cardiovascular Diseases / Q000139:chemically induced* / Q000503:physiopathology; D016000:Cluster Analysis; D003627:Data Interpretation, Statistical; D015233:Models, Statistical; D012044:Regression Analysis; D012107:Research Design; D018401:Sample Size