Testing for Marginal Independence between Two Categorical Variables with Multiple Responses

Biometrics

Volumn 60, Issue 1, 2004, Pages 241-248

  Bilder, Christopher R ^a   Loughin, Thomas M ^b  

^a UNIVERSITY OF NEBRASKA LINCOLN   (United States)

^b KANSAS STATE UNIVERSITY   (United States)

Author keywords

Bootstrap; Correlated binary data; Pearson statistic; Pick any c; Simultaneous pairwise marginal independence

Indexed keywords

STATISTICAL TESTS;

BINARY DATA; BOOTSTRAP; CATEGORICAL VARIABLES; CHI-SQUARE TESTS; CORRELATED BINARY DATA; MULTIPLE RESPONSE; PEARSON STATISTIC; PICK ANY/C; SIMULTANEOUS PAIRWISE MARGINAL INDEPENDENCE; SURVEY DATA;

PROBABILITY DISTRIBUTIONS;

BOOTSTRAPPING; QUESTIONNAIRE SURVEY; STATISTICAL ANALYSIS;

BINOMIAL DISTRIBUTION; BIOMETRY; CALCULATION; CHI SQUARE TEST; HEALTH SURVEY; MATHEMATICAL MODEL; QUESTIONNAIRE; RESPONSE SURFACE METHOD; REVIEW; SAMPLING; SIMULATION;

EID: 1642338715     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.2004.00147.x     Document Type: Review

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