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A measure of the impact of CV incompleteness on prediction error estimation w...
Background In applications of supervised statistical learning in the biomedical field it is necessary to assess the prediction error of the respective prediction rules. Often,... -
Joint use of over- and under-sampling techniques and cross-validation for the...
Background Prediction models are used in clinical research to develop rules that can be used to accurately predict the outcome of the patients based on some of their... -
Cross-validation to select Bayesian hierarchical models in phylogenetics.
Background Recent developments in Bayesian phylogenetic models have increased the range of inferences that can be drawn from molecular sequence data. Accordingly, model... -
MetICA: independent component analysis for high-resolution mass-spectrometry ...
Background Interpreting non-targeted metabolomics data remains a challenging task. Signals from non-targeted metabolomics studies stem from a combination of biological causes,... -
MOESM1 of Model checking in multiple imputation: an overview and case study
Additional file 1. Example Stata code for performing checks of multiple imputation models
