Multivariate graphical methods provide an insightful way to formulate explanatory hypotheses from limited categorical data

Journal of Clinical Epidemiology

Volumn 65, Issue 2, 2012, Pages 179-188

  Van Ness, Peter H ^a,b   Murphy, Terrence E ^a   Araujo, Katy L B ^a   Pisani, Margaret A ^a  

^a YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b YALE UNIVERSITY   (United States)

Author keywords

Critical care; Graphical methods; Logic; Multivariate data; Older patients; Posttraumatic stress disorder

Indexed keywords

ADULT; AGED; ARTICLE; CRITICALLY ILL PATIENT; FEMALE; HOSPITAL DISCHARGE; HUMAN; HYPOTHESIS; INTENSIVE CARE; INTENSIVE CARE UNIT; MALE; MEASUREMENT ERROR; MENTAL HEALTH; MULTIVARIATE ANALYSIS; POSTTRAUMATIC STRESS DISORDER; PREVALENCE; PRIORITY JOURNAL;

AGED; AGED, 80 AND OVER; CRITICAL CARE; DATA DISPLAY; FEMALE; HUMANS; LOGIC; MALE; MIDDLE AGED; MULTIVARIATE ANALYSIS; STATISTICS AS TOPIC; STRESS DISORDERS, POST-TRAUMATIC;

EID: 84855358889     PISSN: 08954356     EISSN: 18785921     Source Type: Journal    
DOI: 10.1016/j.jclinepi.2011.06.007     Document Type: Article

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