The importance of the normality assumption in large public health data sets

Annual Review of Public Health

Volumn 23, Issue , 2002, Pages 151-169

  Lumley, Thomas ^a   Diehr, Paula ^a   Emerson, Scott ^a   Chen, Lu ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

Author keywords

Heteroscedasticity; Nonparametric; Parametric; Rank test; Wilcoxon test

Indexed keywords

DATA ANALYSIS; DIAGNOSTIC APPROACH ROUTE; LINEAR REGRESSION ANALYSIS; LOGISTIC REGRESSION ANALYSIS; NORMAL DISTRIBUTION; OUTCOMES RESEARCH; PRIORITY JOURNAL; PUBLIC HEALTH; RANK SUM TEST; REVIEW; SIMULATION; STATISTICAL ANALYSIS; STUDENT T TEST; VALIDATION PROCESS;

DATA COLLECTION; DATA INTERPRETATION, STATISTICAL; HUMANS; LINEAR MODELS; MODELS, STATISTICAL; OUTCOME ASSESSMENT (HEALTH CARE); PUBLIC HEALTH; UNITED STATES;

EID: 0036245429     PISSN: 01637525     EISSN: None     Source Type: Book Series    
DOI: 10.1146/annurev.publhealth.23.100901.140546     Document Type: Review

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