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08/29/2023
Flexible parametrization of graph-theoretical features from individual-specific networks for prediction
Statistical techniques are needed to analyse data structures with comple...
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06/06/2023
Graph-to-local limit for the nonlocal interaction equation
We study a class of nonlocal partial differential equations presenting a...
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05/25/2023
Fractional Polynomials Models as Special Cases of Bayesian Generalized Nonlinear Models
We propose a framework for fitting fractional polynomials models as spec...
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09/27/2022
Phases of methodological research in biostatistics - building the evidence base for new methods
Although the biostatistical scientific literature publishes new methods ...
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01/27/2021
To tune or not to tune, a case study of ridge logistic regression in small or sparse datasets
For finite samples with binary outcomes penalized logistic regression su...
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01/19/2021
On resampling methods for model assessment in penalized and unpenalized logistic regression
Penalized logistic regression methods are frequently used to investigate...
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01/19/2021
Firth's logistic regression with rare events: accurate effect estimates AND predictions?
Firth-type logistic regression has become a standard approach for the an...
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11/30/2020
Tuning in ridge logistic regression to solve separation
Separation in logistic regression is a common problem causing failure of...
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05/15/2020
Evaluating methods for Lasso selective inference in biomedical research by a comparative simulation study
Variable selection for regression models plays a key role in the analysi...
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07/01/2019