An application of methods for clustered binary responses to a cardiovascular study with small sample size.
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.
Luta
G
G
Department of Biostatistics, School of Public Health, University of North Carolina at Chapel Hill 27599-7400, USA.
Koch
G G
GG
Cascio
W E
WE
Smith
W T
WT
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