Scholars@Duke publication: Using Machine Learning to Identify Heterogeneous Effects in Randomized Clinical Trials-Moving Beyond the Forest Plot and Into the Forest.

Using Machine Learning to Identify Heterogeneous Effects in Randomized Clinical Trials-Moving Beyond the Forest Plot and Into the Forest.

Publication , Journal Article

Goldstein, BA; Rigdon, J

Published in: JAMA Netw Open

March 1, 2019

Published version (DOI) Link to item

Duke Scholars

Author Benjamin Alan Goldstein Biostatistics & Bioinformatics, Division of Translational Bi ...

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Published In

JAMA Netw Open

DOI

10.1001/jamanetworkopen.2019.0004

EISSN

2574-3805

Publication Date

March 1, 2019

Volume

2

Issue

3

Start / End Page

e190004

Location

United States

Related Subject Headings

Smoke
Randomized Controlled Trials as Topic
Machine Learning
Hypertension
Humans
Forests
Blood Pressure
42 Health sciences
32 Biomedical and clinical sciences

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APA

Chicago

ICMJE

MLA

NLM

Goldstein, B. A., & Rigdon, J. (2019). Using Machine Learning to Identify Heterogeneous Effects in Randomized Clinical Trials-Moving Beyond the Forest Plot and Into the Forest. JAMA Netw Open, 2(3), e190004. https://doi.org/10.1001/jamanetworkopen.2019.0004

Goldstein, Benjamin A., and Joseph Rigdon. “Using Machine Learning to Identify Heterogeneous Effects in Randomized Clinical Trials-Moving Beyond the Forest Plot and Into the Forest.” JAMA Netw Open 2, no. 3 (March 1, 2019): e190004. https://doi.org/10.1001/jamanetworkopen.2019.0004.

Goldstein BA, Rigdon J. Using Machine Learning to Identify Heterogeneous Effects in Randomized Clinical Trials-Moving Beyond the Forest Plot and Into the Forest. JAMA Netw Open. 2019 Mar 1;2(3):e190004.

Goldstein, Benjamin A., and Joseph Rigdon. “Using Machine Learning to Identify Heterogeneous Effects in Randomized Clinical Trials-Moving Beyond the Forest Plot and Into the Forest.” JAMA Netw Open, vol. 2, no. 3, Mar. 2019, p. e190004. Pubmed, doi:10.1001/jamanetworkopen.2019.0004.

Goldstein BA, Rigdon J. Using Machine Learning to Identify Heterogeneous Effects in Randomized Clinical Trials-Moving Beyond the Forest Plot and Into the Forest. JAMA Netw Open. 2019 Mar 1;2(3):e190004.

Published In

JAMA Netw Open

DOI

10.1001/jamanetworkopen.2019.0004

EISSN

2574-3805

Publication Date

March 1, 2019

Volume

2

Issue

3

Start / End Page

e190004

Location

United States

Related Subject Headings

Smoke
Randomized Controlled Trials as Topic
Machine Learning
Hypertension
Humans
Forests
Blood Pressure
42 Health sciences
32 Biomedical and clinical sciences