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The use of classification and regression trees in clinical epidemiology.
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Europe PubMed Central
PubMed publication ID
11377121
retrieved
1 June 2018
reference URL
http://europepmc.org/abstract/MED/11377121
title
The use of classification and regression trees in clinical epidemiology.
(English)
1 reference
stated in
Europe PubMed Central
PubMed publication ID
11377121
retrieved
1 June 2018
reference URL
http://europepmc.org/abstract/MED/11377121
main subject
clinical epidemiology
1 reference
based on heuristic
inferred from title
author
Roger Marshall
series ordinal
1
1 reference
stated in
Europe PubMed Central
PubMed publication ID
11377121
retrieved
1 June 2018
reference URL
http://europepmc.org/abstract/MED/11377121
publication date
1 June 2001
1 reference
stated in
Europe PubMed Central
PubMed publication ID
11377121
retrieved
1 June 2018
reference URL
http://europepmc.org/abstract/MED/11377121
published in
Journal of Clinical Epidemiology
1 reference
stated in
Europe PubMed Central
PubMed publication ID
11377121
retrieved
1 June 2018
reference URL
http://europepmc.org/abstract/MED/11377121
volume
54
1 reference
stated in
Europe PubMed Central
PubMed publication ID
11377121
retrieved
1 June 2018
reference URL
http://europepmc.org/abstract/MED/11377121
issue
6
1 reference
stated in
Europe PubMed Central
PubMed publication ID
11377121
retrieved
1 June 2018
reference URL
http://europepmc.org/abstract/MED/11377121
page(s)
603-609
1 reference
stated in
Europe PubMed Central
PubMed publication ID
11377121
retrieved
1 June 2018
reference URL
http://europepmc.org/abstract/MED/11377121
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Computer-aided prognosis. II. Development of a prognostic algorithm
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Evaluating patients with chest pain using classification and regression trees
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7 January 2021
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A computer-derived protocol to aid in the diagnosis of emergency room patients with acute chest pain
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Classification tree prediction models for dental caries from clinical, microbiological, and interview data
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Computer-based models to identify high-risk children with asthma
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A new and simple questionnaire to identify people at increased risk for undiagnosed diabetes
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Recursive partitioning for the identification of disease risk subgroups: a case-control study of subarachnoid hemorrhage
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A tree-based method of analysis for prospective studies
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Obesity and 33-Year Follow-up for Coronary Heart Disease and Cancer Mortality
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Tree-based risk factor analysis of preterm delivery and small-for-gestational-age birth
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Partitioning methods for classification and decision making in medicine.
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A program to implement a search method for identification of clinical subgroups.
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Classification to ordinal categories using a search partition methodology with an application in diabetes screening
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Prognostic factors and risk groups: Some results given by using an algorithm suitable for censored survival data
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Tree-structured proportional hazards regression modeling
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Using Model Trees for Classification
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Bagging predictors
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Combining classification trees using MLE
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Empiric comparison of multivariate analytic techniques: advantages and disadvantages of recursive partitioning analysis
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Classification trees and logistic regression applied to prognostic studies: a comparison using meningococcal disease as an example.
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A comparison of statistical learning methods on the Gusto database.
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A comparison of logistic regression to decision-tree induction in a medical domain.
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An empirical comparison of expert-derived and data-derived classification trees
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Crossref
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7 January 2021
based on heuristic
inferred from DOI database lookup
Identifiers
DOI
10.1016/S0895-4356(00)00344-9
1 reference
stated in
Europe PubMed Central
PubMed publication ID
11377121
retrieved
1 June 2018
reference URL
http://europepmc.org/abstract/MED/11377121
PubMed publication ID
11377121
1 reference
stated in
Europe PubMed Central
PubMed publication ID
11377121
retrieved
1 June 2018
reference URL
http://europepmc.org/abstract/MED/11377121
ResearchGate publication ID
11961664
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