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

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Figshare2025-03-26 更新2026-04-28 收录
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https://figshare.com/articles/dataset/Guidelines_for_benchmarking_and_outlier_detection_in_clinical_quality_registries_-_simulation_and_model_build_code/28665671
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资源简介:
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.dtaSummary performance dataset containing the average accuracy of outlier detection methods for simulations of clinical quality registry data of varied data parameters.guidelines_model_build.RR 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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