Logistic regression had superior performance compared with regression trees for predicting in-hospital mortality in patients hospitalized with heart failure

Journal of Clinical Epidemiology

Volumn 63, Issue 10, 2010, Pages 1145-1155

  Austin, Peter C ^a,b   Tu, Jack V ^a,b,c,d   Lee, Douglas S ^a,d,e  

^a INSTITUTE FOR CLINICAL EVALUATIVE SCIENCES   (Canada)

^b UNIVERSITY OF TORONTO   (Canada)

^c SUNNYBROOK RESEARCH INSTITUTE   (Canada)

^d UNIVERSITY OF TORONTO   (Canada)

^e UNIVERSITY HEALTH NETWORK   (Canada)

Author keywords

Classification trees; Congestive heart failure; Logistic regression; Predictive model; Recursive partitioning; Regression trees; Validation

Indexed keywords

NITROGEN;

ACUTE HEART FAILURE; ADULT; AGED; ARTICLE; CLINICAL ASSESSMENT; COMPARATIVE STUDY; CONTROLLED STUDY; DEMENTIA; DISEASE REGISTRY; FEMALE; HEART FAILURE; HOSPITAL PATIENT; HOSPITALIZATION; HUMAN; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; MORTALITY; PREDICTION; PRIORITY JOURNAL; RANDOM SAMPLE; RECEIVER OPERATING CHARACTERISTIC; REGRESSION ANALYSIS; SAMPLE SIZE; SYSTOLIC BLOOD PRESSURE; UREA NITROGEN BLOOD LEVEL; CANADA; FORECASTING; RISK ASSESSMENT; STATISTICAL ANALYSIS; STATISTICAL MODEL;

AGED; AGED, 80 AND OVER; DATA INTERPRETATION, STATISTICAL; FEMALE; FORECASTING; HEART FAILURE; HOSPITAL MORTALITY; HUMANS; LOGISTIC MODELS; MALE; ONTARIO; RISK ASSESSMENT; ROC CURVE;

EID: 78349274046     PISSN: 08954356     EISSN: 18785921     Source Type: Journal    
DOI: 10.1016/j.jclinepi.2009.12.004     Document Type: Article

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