Application of the McNemar test to non‐independent matched pair data

Statistics in Medicine

Volumn 10, Issue 12, 1991, Pages 1981-1991

  Eliasziw, Michael ^a,c   Donner, Allan ^b  

^a HARVARD MEDICAL SCHOOL   (United States)

^b UNIVERSITY OF WESTERN ONTARIO   (Canada)

^c ROBARTS RESEARCH INSTITUTE   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CONFERENCE PAPER; STATISTICS;

CLINICAL TRIALS; CLUSTER ANALYSIS; DATA INTERPRETATION, STATISTICAL; HUMAN; LIKELIHOOD FUNCTIONS; MATCHED-PAIR ANALYSIS; MODELS, STATISTICAL; MONTE CARLO METHOD; SUPPORT, NON-U.S. GOV'T; SUPPORT, U.S. GOV'T, P.H.S.;

EID: 0026320230     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.4780101211     Document Type: Article

References (13)

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3. Statistical methodology for paired cluster designs
4. Relaxing assumptions in the one‐sample t‐test
5. On the compound multinomial distribution, the multivariate β‐distribution, and correlations among proportions
6. Maximum likelihood estimation for the beta‐binomial distribution and an application to the household distribution of the total number of case of a disease
7. A one‐way components of variance model for categorical data