Statistical approaches to modeling symptom clusters in cancer patients

Cancer Nursing

Volumn 31, Issue 5, 2008, Pages

  Kim, Hee Ju ^a   Abraham, Ivo L ^b,c,d  

^a University of Ulsan   (South Korea)

^b Matrix45 ^*  (United States)

^c UNIVERSITY OF ARIZONA   (United States)

^d UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

Cancer; Design issues; Nursing; Statistics; Symptom clusters

Indexed keywords

ARTICLE; CANCER PATIENT; CANCER RESEARCH; CLUSTER ANALYSIS; CORRELATION ANALYSIS; EXPERIENCE; FACTORIAL ANALYSIS; HODGKIN HUXLEY EQUATION; HUMAN; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; ONCOLOGY; PHYSICIAN; PRIORITY JOURNAL; PROFESSIONAL PRACTICE; STATISTICAL ANALYSIS; SYMPTOM; METHODOLOGY; NEOPLASM; NURSING; NURSING RESEARCH; PATHOPHYSIOLOGY; STATISTICAL MODEL; STATISTICS;

CLUSTER ANALYSIS; DATA INTERPRETATION, STATISTICAL; HUMANS; MODELS, STATISTICAL; NEOPLASMS; NURSING RESEARCH; RESEARCH DESIGN; STATISTICS AS TOPIC;

EID: 58149331702     PISSN: 0162220X     EISSN: None     Source Type: Journal    
DOI: 10.1097/01.NCC.0000305757.58615.c8     Document Type: Article

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