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Interpretation of coefficients in segmented regression for interrupted time series analyses.

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Title: Interpretation of coefficients in segmented regression for interrupted time series analyses.
Authors: Wang Y; Department of Surgery, City of Hope Comprehensive Cancer Center, Duarte, CA, 91010, USA., Nonzee NJ; Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte, CA, 91010, USA., Zhang H; Department of Information Systems and Operations Management, Foster School of Business, University of Washington, Seattle, WA, 98105, USA., Ashing KT; Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte, CA, 91010, USA., Song G; Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte, CA, 91010, USA., Crespi CM; Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, 90095, USA. ccrespi@ucla.edu.
Source: BMC medical research methodology [BMC Med Res Methodol] 2025 Apr 16; Vol. 25 (1), pp. 98. Date of Electronic Publication: 2025 Apr 16.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2288 (Electronic) Linking ISSN: 14712288 NLM ISO Abbreviation: BMC Med Res Methodol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Wang+Y%22">Wang Y</searchLink>; Department of Surgery, City of Hope Comprehensive Cancer Center, Duarte, CA, 91010, USA.<br /><searchLink fieldCode="AU" term="%22Nonzee+NJ%22">Nonzee NJ</searchLink>; Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte, CA, 91010, USA.<br /><searchLink fieldCode="AU" term="%22Zhang+H%22">Zhang H</searchLink>; Department of Information Systems and Operations Management, Foster School of Business, University of Washington, Seattle, WA, 98105, USA.<br /><searchLink fieldCode="AU" term="%22Ashing+KT%22">Ashing KT</searchLink>; Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte, CA, 91010, USA.<br /><searchLink fieldCode="AU" term="%22Song+G%22">Song G</searchLink>; Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte, CA, 91010, USA.<br /><searchLink fieldCode="AU" term="%22Crespi+CM%22">Crespi CM</searchLink>; Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, 90095, USA. ccrespi@ucla.edu.
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  Data: <searchLink fieldCode="JN" term="%22100968545%22">BMC medical research methodology</searchLink> [BMC Med Res Methodol] 2025 Apr 16; Vol. 25 (1), pp. 98. <i>Date of Electronic Publication: </i>2025 Apr 16.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central%22">BioMed Central </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>100968545 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1471-2288 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214712288%22">14712288 </searchLink><i>NLM ISO Abbreviation: </i>BMC Med Res Methodol <i>Subsets: </i>MEDLINE
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        Value: 10.1186/s12874-025-02556-8
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