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Turner, Simon L.; Karahalios, Amalia; Forbes, Andrew B.; Taljaard, Monica; Grimshaw, Jeremy M.; Korevaar, Elizabeth; Cheng, Allen C.; Bero, Lisa; McKenzie, Joanne E. – Research Synthesis Methods, 2021
Introduction: Interrupted Time Series (ITS) studies may be used to assess the impact of an interruption, such as an intervention or exposure. The data from such studies are particularly amenable to visual display and, when clearly depicted, can readily show the short- and long-term impact of an interruption. Further, well-constructed graphs allow…
Descriptors: Graphs, Data Analysis, Visualization, Meta Analysis
Patel, Amit; Cooper, Nicola; Freeman, Suzanne; Sutton, Alex – Research Synthesis Methods, 2021
Diagnostic test accuracy (DTA) systematic reviews are conducted to summarize evidence on the accuracy of a diagnostic test including a critical evaluation of the primary studies. Where appropriate, the evidence is meta-analyzed to obtain pooled estimates of effectiveness. In this study, we reviewed and critiqued three DTA guidance documents with…
Descriptors: Diagnostic Tests, Accuracy, Meta Analysis, Graphs
Turner, Simon Lee; Korevaar, Elizabeth; Cumpston, Miranda S.; Kanukula, Raju; Forbes, Andrew B.; McKenzie, Joanne E. – Research Synthesis Methods, 2023
Interrupted time series (ITS) studies are frequently used to examine the impact of population-level interventions or exposures. Systematic reviews with meta-analyses including ITS designs may inform public health and policy decision-making. Re-analysis of ITS may be required for inclusion in meta-analysis. While publications of ITS rarely provide…
Descriptors: Quasiexperimental Design, Graphs, Accuracy, Computation