title: Non-parametric two-sample tests for repeated ordinal responses.
abstract: Consider data on two groups of clusters, where each cluster consists of many units that respond on an ordinal scale. We develop a Mann-Whitney type test to determine whether a typical response from the first group is larger (or smaller) than a typical response from the second group.
authors.affiliation: National Cancer Institute, Biometry Branch, Bethesda, Maryland 20892-7354, USA.
authors.forename: M P
authors.initials: MP
authors.lastname: Fay
authors.forename: C
authors.initials: C
authors.lastname: Gennings
mesh_terms: D000293:Adolescent; D000818:Animals; D001499:Bayes Theorem; D002648:Child; D002675:Child, Preschool; D002788:Cholesterol Esters / Q000494:pharmacology; D016000:Cluster Analysis; D003627:Data Interpretation, Statistical; D004781:Environmental Exposure / Q000706:statistics & numerical data; D004784:Environmental Monitoring / Q000706:statistics & numerical data; D006801:Humans; D007854:Lead / Q000097:blood; D016013:Likelihood Functions; D011159:Population Surveillance; D051381:Rats; D012472:Salivation / Q000187:drug effects; D018709:Statistics, Nonparametric
chemical_list: D002788:Cholesterol Esters; D007854:Lead; C013440:cholesteryl succinate