Journal article
MultiCenter Interrupted Time Series Analysis: Incorporating Within and Between-Center Heterogeneity
Abstract
BACKGROUND: Segmented regression (SR) is the most common statistical method used in the analysis of interrupted time series (ITS) data. However, this modeling strategy is indicated to produce spurious results when applied to aggregated data. For multicenter ITS studies, data at a given time point are often aggregated across different participants and settings; thus, conventional segmented regression analysis may not be an optimal approach. Our …
Authors
Ewusie JE; Thabane L; Beyene J; Straus SE; Hamid JS
Journal
Clinical Epidemiology, Vol. 12, No. 0, pp. 625–636
Publisher
Taylor & Francis
Publication Date
June 17, 2020
DOI
10.2147/clep.s231843
ISSN
1179-1349