Data

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

Monash University
Ahmad Reza Pourghaderi (Aggregated by) Arul Earnest (Aggregated by) Jessy Hansen (Aggregated by) Susannah Ahern (Aggregated by)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.26180/24471664.v2&rft.title=Outlier detection in clinical registries - simulation study data and Stata code&rft.identifier=https://doi.org/10.26180/24471664.v2&rft.publisher=Monash University&rft.description=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 manuscriptsimstudy1_supplementary.do - the code to produce the table and figures included in the manuscript supplementary material&rft.creator=Ahmad Reza Pourghaderi&rft.creator=Arul Earnest&rft.creator=Jessy Hansen&rft.creator=Susannah Ahern&rft.date=2024&rft_rights=CC-BY-4.0&rft_subject=Clinical registries&rft_subject=Simulation study&rft_subject=Outlier detection&rft_subject=Epidemiological methods&rft_subject=Biostatistics&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

Open Licence view details
CC-BY

CC-BY-4.0

Full description

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

Issued: 2023-11-03

Created: 2024-12-01

This dataset is part of a larger collection

Click to explore relationships graph
Subjects

User Contributed Tags    

Login to tag this record with meaningful keywords to make it easier to discover

Identifiers