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Evaluation of statistical methods used to meta-analyse results from interrupted time series studies: a simulation study - Code and Data

Monash University
AMALIA KARAHALIOS (Aggregated by) Andrew Forbes (Aggregated by) Elizabeth Korevaar (Aggregated by) Joanne McKenzie (Aggregated by) Monica Taljaard (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.26180/20999185.v2&rft.title=Evaluation of statistical methods used to meta-analyse results from interrupted time series studies: a simulation study - Code and Data&rft.identifier=https://doi.org/10.26180/20999185.v2&rft.publisher=Monash University&rft.description=The datasets containing simulation performance results during the current study, in addition to the code to replicate the simulation study in its entirety, are available here. See the README file for a description the Stata do-files, R-script files, tips to run the code, and the performance result dataset dictionaries.&rft.creator=AMALIA KARAHALIOS&rft.creator=Andrew Forbes&rft.creator=Elizabeth Korevaar&rft.creator=Joanne McKenzie&rft.creator=Monica Taljaard&rft.creator=Simon Turner&rft.date=2023&rft_rights=CC-BY-4.0&rft_subject=Meta-analysis&rft_subject=Interrupted Time Series&rft_subject=Simulation Study&rft_subject=Public Health&rft_subject=Segmented Regression&rft_subject=Statistical Methods&rft.type=dataset&rft.language=English Access the data
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Full description

The datasets containing simulation performance results during the current study, in addition to the code to replicate the simulation study in its entirety, are available here.

See the README file for a description the Stata do-files, R-script files, tips to run the code, and the performance result dataset dictionaries.

Issued: 2022-10-11

Created: 2023-11-22

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Interrupted Time Series | Meta-analysis | Public Health | Segmented Regression | Simulation Study | Statistical Methods |

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