The comparative performance of logistic regression and random forest in propensity score methods: A simulation study

Propensity scores (PS) are typically estimated using logistic regression (LR). Machine learning techniques such as random forests (RF) have been suggested as promising alternatives for variable selection and PS estimation.

Bibliographic Details
Main Authors: Ali, M, Khalid, S, Collins, G, Prieto-Alhambra, D
Format: Conference item
Published: Wiley 2017
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author Ali, M
Khalid, S
Collins, G
Prieto-Alhambra, D
author_facet Ali, M
Khalid, S
Collins, G
Prieto-Alhambra, D
author_sort Ali, M
collection OXFORD
description Propensity scores (PS) are typically estimated using logistic regression (LR). Machine learning techniques such as random forests (RF) have been suggested as promising alternatives for variable selection and PS estimation.
first_indexed 2024-03-06T20:46:54Z
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institution University of Oxford
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spelling oxford-uuid:3636bc63-91a7-4625-85e6-15f2375745c52022-03-26T13:36:29ZThe comparative performance of logistic regression and random forest in propensity score methods: A simulation studyConference itemhttp://purl.org/coar/resource_type/c_5794uuid:3636bc63-91a7-4625-85e6-15f2375745c5Symplectic Elements at OxfordWiley2017Ali, MKhalid, SCollins, GPrieto-Alhambra, DPropensity scores (PS) are typically estimated using logistic regression (LR). Machine learning techniques such as random forests (RF) have been suggested as promising alternatives for variable selection and PS estimation.
spellingShingle Ali, M
Khalid, S
Collins, G
Prieto-Alhambra, D
The comparative performance of logistic regression and random forest in propensity score methods: A simulation study
title The comparative performance of logistic regression and random forest in propensity score methods: A simulation study
title_full The comparative performance of logistic regression and random forest in propensity score methods: A simulation study
title_fullStr The comparative performance of logistic regression and random forest in propensity score methods: A simulation study
title_full_unstemmed The comparative performance of logistic regression and random forest in propensity score methods: A simulation study
title_short The comparative performance of logistic regression and random forest in propensity score methods: A simulation study
title_sort comparative performance of logistic regression and random forest in propensity score methods a simulation study
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