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Conditional inference for subject‐specific and marginal agreement: Two families of agreement measures
Author(s) -
Cook Richard J.,
Farewell Vern T.
Publication year - 1995
Publication title -
canadian journal of statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.804
H-Index - 51
eISSN - 1708-945X
pISSN - 0319-5724
DOI - 10.2307/3315378
Subject(s) - agreement , statistics , inference , diagonal , subject (documents) , contingency table , mathematics , poisson distribution , confidence interval , marginal distribution , statistical inference , reliability (semiconductor) , econometrics , computer science , artificial intelligence , random variable , physics , philosophy , geometry , linguistics , power (physics) , quantum mechanics , library science
A two‐stage procedure is described for assessing subject‐specific and marginal agreement for data from a test‐retest reliability study of a binary classification procedure. Subject‐specific agreement is parametrized through the log odds ratio, while marginal agreement is reflected by the log ratio of the off‐diagonal Poisson means. A family of agreement measures in the interval [‐1, 1] is presented for both types of agreement. The conditioning argument described facilitates exact inference. The proposed methodology is demonstrated by way of an example involving hypothetical data chosen for illustrative purposes, and data from a National Health Survey Study (Rogot and Goldberg 1966).