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

Saved in:
Bibliographic Details
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
Full text is not displayed to guests.
Description
ISSN:1471-2288
DOI:10.1186/s12874-025-02556-8