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Outlier detection in clinical registries - simulation study data and Stata code

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Monash University Figshare2024-12-01 更新2026-07-03 收录
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Contains the simulated data and Stata code used to produce the results for the manuscript titled "Evaluating methods of outlier detection when benchmarking clinical registry data – a simulation study", accepted for publication in the Health Services and Outcomes Research Methodology Journal. data_files.zip (code to generate all files in "do_files\simstudy1_preparation.do"): raw_data - the .dta files produced from running the user-written hiersim command (https://doi.org/10.26180/24480889.v1) summary_data - the .dta files produced from summarising of the results across each unique simulated scenario and method combination (performance measure average and 95% Monte Carlo confidence intervals) parameter_check - the .dta files produced from summarising the simulated data parameters across each unique simulated scenario (performance measure average and 95% Monte Carlo confidence intervals) do_files.zip: simstudy1_preparation.do - the code to run the simulations (using the hiersim command, available at https://doi.org/10.26180/24480889.v1) and create summary datasets (performance measures and parameter checks) simstudy1_manuscript.do - the code to produce the figures included in the main manuscript simstudy1_supplementary.do - the code to produce the table and figures included in the manuscript supplementary material

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2024-12-01
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