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

<p dir="ltr">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".</p><p dir="ltr">Contains:</p><ul><li><b>guidelines_data_preparation.do </b><br>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. </li><li><b>sim_extra_sum.dta</b><br>Summary performance dataset containing the average accuracy of outlier detection methods for simulations of clinical quality registry data of varied data parameters.</li><li><b>guidelines_model_build.R</b><br>R code for developing generalised linear models for predicting the accuracy of outlier detection based on registry data parameters.</li></ul><p><br></p>