32 citations · 33 across the 4 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…
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…
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…
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…