Kendall distance of the simulated and true method ranking

Kendall distance of the simulated and true method ranking

<p>based on the Brier score in 100 iterations of a classification method comparison study per classifier for different simulation approaches with misspecifications of the correlation for parametric simulation for <i>p</i> = 2.</p>

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Bibliographic Details
Main Author:	Marieke Stolte (18563441) (author)
Other Authors:	Nicholas Schreck (5003018) (author), Alla Slynko (6053090) (author), Maral Saadati (9098190) (author), Axel Benner (30194) (author), Jörg Rahnenführer (3861) (author), Andrea Bommert (18563444) (author)
Published:	2025
Subjects:	Medicine Genetics Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified realistic dgps might mind whose true comparing statistical methods true method ranking comparing classification methods binary classification methods different resampling strategies appropriate method choice term simulation refers specify typically increases specific data type estimating classifier performance method comparison study plasmode comparison studies plasmode simulation depends parametric comparison studies ogm negatively influence comparison studies method rankings classification performances studies conducted simulation study best choice plasmode simulation study finds resampling strategy resampling covariates plasmode simulations parametric simulation unknown data specified ogm random numbers practice leading oversimplified assumptions often claimed life dataset known within interest together generating process generating model generating mechanism full data dimensional data
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