An application of methods for clustered binary responses to a cardiovascular study with small sample size.

G Luta; G G Koch; W E Cascio; W T Smith

doi:10.1080/10543409808835224

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An application of methods for clustered binary responses to a cardiovascular study with small sample size.

G Luta·G G Koch·W E Cascio·W T Smith

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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.

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Animals Cardiovascular Diseases Cluster Analysis Data Interpretation, Statistical Models, Statistical Regression Analysis Research Design Sample Size Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, P.H.S.

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G Luta, G G Koch, W E Cascio, W T Smith. 1998. An application of methods for clustered binary responses to a cardiovascular study with small sample size.. https://doi.org/10.1080/10543409808835224

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