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Methods for Integrating Trials and Non-experimental Data to Examine Treatment Effect Heterogeneity.

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Title: Methods for Integrating Trials and Non-experimental Data to Examine Treatment Effect Heterogeneity.
Authors: Brantner CL; Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21205, USA., Chang TH; Department of Biostatistics, Columbia Mailman School of Public Health, New York, New York 10032, USA., Nguyen TQ; Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21205, USA., Hong H; Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina 27710, USA., Stefano LD; Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21205, USA., Stuart EA; Departments of Biostatistics, Mental Health, and Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21205, USA.
Source: Statistical science : a review journal of the Institute of Mathematical Statistics [Stat Sci] 2023 Nov; Vol. 38 (4), pp. 640-654. Date of Electronic Publication: 2023 Nov 06.
Publication Type: Journal Article
Journal Info: Publisher: The Institute Country of Publication: United States NLM ID: 100962994 Publication Model: Print-Electronic Cited Medium: Print ISSN: 0883-4237 (Print) Linking ISSN: 08834237 NLM ISO Abbreviation: Stat Sci Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Brantner+CL%22">Brantner CL</searchLink>; Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21205, USA.<br /><searchLink fieldCode="AU" term="%22Chang+TH%22">Chang TH</searchLink>; Department of Biostatistics, Columbia Mailman School of Public Health, New York, New York 10032, USA.<br /><searchLink fieldCode="AU" term="%22Nguyen+TQ%22">Nguyen TQ</searchLink>; Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21205, USA.<br /><searchLink fieldCode="AU" term="%22Hong+H%22">Hong H</searchLink>; Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina 27710, USA.<br /><searchLink fieldCode="AU" term="%22Stefano+LD%22">Stefano LD</searchLink>; Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21205, USA.<br /><searchLink fieldCode="AU" term="%22Stuart+EA%22">Stuart EA</searchLink>; Departments of Biostatistics, Mental Health, and Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21205, USA.
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  Data: <searchLink fieldCode="JN" term="%22100962994%22">Statistical science : a review journal of the Institute of Mathematical Statistics</searchLink> [Stat Sci] 2023 Nov; Vol. 38 (4), pp. 640-654. <i>Date of Electronic Publication: </i>2023 Nov 06.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22The+Institute%22">The Institute </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>100962994 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>0883-4237 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2208834237%22">08834237 </searchLink><i>NLM ISO Abbreviation: </i>Stat Sci <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.1214/23-sts890
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      – Code: eng
        Text: English
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        StartPage: 640
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      – TitleFull: Methods for Integrating Trials and Non-experimental Data to Examine Treatment Effect Heterogeneity.
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              M: 11
              Text: 2023 Nov
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              Y: 2023
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            – TitleFull: Statistical science : a review journal of the Institute of Mathematical Statistics
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