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Guidelines for benchmarking and outlier detection in clinical quality registries - simulation and model build code

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Monash University Figshare2025-03-26 更新2026-07-03 收录
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Contains the summary dataset, simulation Stata code and model build R code for the study titled "Benchmarking methods for detection of underperforming healthcare providers in clinical quality registries – implementation guidelines". Contains: guidelines_data_preparation.do Stata code for running the simulations (using the user written hiersim command available at https://doi.org/10.26180/24480889) and preparing the summary performance dataset. sim_extra_sum.dta Summary performance dataset containing the average accuracy of outlier detection methods for simulations of clinical quality registry data of varied data parameters. guidelines_model_build.R R code for developing generalised linear models for predicting the accuracy of outlier detection based on registry data parameters.

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2025-03-26
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