Relative risk forests for exercise heart rate recovery as a predictor of mortality

Journal article

Hemant ISHWARAN, Eugene H BLACKSTONE, Claire E POTHIER and Michael S LAUER

Journal of the American Statistical Association, Vol.99(467), pp.591-600

2004

Abstract

General topics

Applications

Exact sciences and technology

Nonparametric inference

Mathematics

Probability and statistics

Statistics

Sciences and techniques of general use

12 Record Views

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Citation topics: 9 Mathematics; 9.92 Statistical Methods; 9.92.220 Nonparametric Regression
Web Of Science research areas: Statistics & Probability
ESI research areas: Mathematics

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Source: InCites

Title: Relative risk forests for exercise heart rate recovery as a predictor of mortality
Creators: Hemant ISHWARAN - Department of Biostatistics and Epidemiology Wb4, Cleveland Clinic Foundation, 9500 Euclid Avenue, Cleveland OH 44195, United States
Eugene H BLACKSTONE - Department of Thoracic and Cardiac Surgery F25, Cleveland Clinic Foundation, 9500 Euclid Avenue, Cleveland OH 44195, United States
Claire E POTHIER - Department of Cardiovascular Medicine, Cleveland Clinic Foundation, 9500 Euclid Avenue, Cleveland OH 44195, United States
Michael S LAUER - Department of Cardiovascular Medicine F25, Cleveland Clinic Foundation, 9500 Euclid Avenue, Cleveland OH 44195, United States
Publication Details: Journal of the American Statistical Association, Vol.99(467), pp.591-600
Publisher: American Statistical Association
Academic Unit: Miller School of Medicine; UMMG Department of Public Health Sciences Research
Language: English
Resource Type: Journal article
Record Identifier: 991031600654302976