Literature DB >> 30848801

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

Benjamin A Goldstein1, Joseph Rigdon2.   

Abstract

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Year:  2019        PMID： 30848801     DOI： 10.1001/jamanetworkopen.2019.0004

Source DB:  PubMed          Journal:  JAMA Netw Open        ISSN： 2574-3805


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  3 in total

1.  Heterogeneous treatment effect analysis based on machine-learning methodology.

Authors:  Xiajing Gong; Meng Hu; Mahashweta Basu; Liang Zhao
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2021-10-30

2.  Remote Hemodynamic-Guided Therapy of Patients With Recurrent Heart Failure Following Cardiac Resynchronization Therapy.

Authors:  Niraj Varma; Robert C Bourge; Lynne Warner Stevenson; Maria Rosa Costanzo; David Shavelle; Philip B Adamson; Greg Ginn; John Henderson; William T Abraham
Journal:  J Am Heart Assoc       Date:  2021-02-25       Impact factor: 5.501

Review 3.  Big Data, Data Science, and Causal Inference: A Primer for Clinicians.

Authors:  Yoshihiko Raita; Carlos A Camargo; Liming Liang; Kohei Hasegawa
Journal:  Front Med (Lausanne)       Date:  2021-07-06
  3 in total

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