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20172022
most citedState-of-the-art in selection of variables and functional forms in multivariable analysis -- outstanding issues

32 citations · 33 across the 4 of their papers we have counts for

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6 papers · 1 filter

stat.ME2022

Accounting for Time Dependency in Meta-Analyses of Concordance Probability Estimates

Matthias Schmid, Tim Friede, Nadja Klein +1

Recent years have seen the development of many novel scoring tools for disease prognosis and prediction. To become accepted for use in clinical applications, these tools have to be…

stat.ME2020

Assessing the Calibration of Subdistribution Hazard Models in Discrete Time

Moritz Berger, Matthias Schmid

The generalization performance of a risk prediction model can be evaluated by its calibration, which measures the agreement between predicted and observed outcomes on external vali…

stat.ME201932 cited

State-of-the-art in selection of variables and functional forms in multivariable analysis -- outstanding issues

Willi Sauerbrei, Aris Perperoglou, Matthias Schmid +7

How to select variables and identify functional forms for continuous variables is a key concern when creating a multivariable model. Ad hoc 'traditional' approaches to variable sel…

stat.ME20191 cited

A Random Forest Approach for Modeling Bounded Outcomes

Leonie Weinhold, Matthias Schmid, Marvin N. Wright +1

Random forests have become an established tool for classification and regression, in particular in high-dimensional settings and in the presence of complex predictor-response relat…

stat.ME2018

Correlation-Adjusted Regression Survival Scores for High-Dimensional Variable Selection

Thomas Welchowski, Verena Zuber, Matthias Schmid

Background: The development of classification methods for personalized medicine is highly dependent on the identification of predictive genetic markers. In survival analysis it is…

stat.ME2017

Tree-Structured Modelling of Varying Coefficients

Moritz Berger, Gerhard Tutz, Matthias Schmid

The varying-coefficient model is a strong tool for the modelling of interactions in generalized regression. It is easy to apply if both the variables that are modified as well as t…