A statistical model to predict one-year risk of death in patients with cystic fibrosis

Journal of Clinical Epidemiology

Volumn 68, Issue 11, 2015, Pages 1336-1345

  Aaron, Shawn D ^a   Stephenson, Anne L ^b   Cameron, Donald W ^a   Whitmore, George A ^a,c  

^a UNIVERSITY OF OTTAWA   (Canada)

^b ST MICHAEL'S HOSPITAL   (Canada)

^c MCGILL UNIVERSITY   (Canada)

Author keywords

Cystic fibrosis; Health index; Mortality; Registry data; Risk scoring tool; Threshold regression

Indexed keywords

PANCREAS ENZYME;

ADULT; AGE; AMBULATORY CARE; ARTICLE; BODY MASS; CHRONIC DISEASE; CLINICAL ASSESSMENT; CONCEPTUAL MODEL; DIABETES MELLITUS; DISEASE EXACERBATION; DISEASE SEVERITY; ENZYME THERAPY; FEMALE; FORCED EXPIRATORY VOLUME; GENDER; GENE MUTATION; HEALTH STATUS; HOMOZYGOSITY; HOSPITALIZATION; HUMAN; LUNG FIBROSIS; LUNG FUNCTION; LUNG TRANSPLANTATION; MAJOR CLINICAL STUDY; MALE; MAXIMUM LIKELIHOOD METHOD; MOBILE APPLICATION; MORTALITY; PANCREAS INSUFFICIENCY; PREDICTIVE VALIDITY; PRIORITY JOURNAL; PSEUDOMONAS INFECTION; REGISTER; REGRESSION MODEL; RISK FACTOR; SHOCK; STATISTICAL MODEL; SURVIVAL; UNDERWEIGHT; CYSTIC FIBROSIS; PROGNOSIS; REGRESSION ANALYSIS; RISK ASSESSMENT; TIME;

CYSTIC FIBROSIS; FEMALE; HUMANS; MALE; MODELS, STATISTICAL; PROGNOSIS; REGRESSION ANALYSIS; RISK ASSESSMENT; TIME FACTORS;

EID: 84945456434     PISSN: 08954356     EISSN: 18785921     Source Type: Journal    
DOI: 10.1016/j.jclinepi.2014.12.010     Document Type: Article

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