Riccardo De Bin

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All published works

Action	Title	Year	Authors
+	Influence of single observations on the choice of the penalty parameter in ridge regression	2024	Kristoffer H. Hellton Camilla Lingjærde Riccardo De Bin
+ PDF Chat	GPTreeO: An R package for continual regression with dividing local Gaussian processes	2024	Timo Braun Anders Kvellestad Riccardo De Bin
+ PDF Chat	Fractional Polynomial Models as Special Cases of Bayesian Generalized Nonlinear Models	2023	Aliaksandr Hubin Georg Heinze Riccardo De Bin
+ PDF Chat	Favoring the hierarchical constraint in penalized survival models for randomized trials in precision medicine	2023	Shaima Belhechmi Gwénaël Le Teuff Riccardo De Bin Federico Rotolo Stefan Michiels
+	Fractional Polynomials Models as Special Cases of Bayesian Generalized Nonlinear Models	2023	Aliaksandr Hubin Georg Heinze Riccardo De Bin
+ PDF Chat	Favoring the hierarchical constraint in penalized survival models for randomized trials in precision medicine	2022	Shaima Belhechmi Gwénaël Le Teuff Riccardo De Bin Federico Rotolo Stefan Michiels
+	Multivariable Fractional Polynomials for lithium-ion batteries degradation models under dynamic conditions	2022	Clara Bertinelli Salucci Azzeddine Bakdi Ingrid K. Glad Erik Vanem Riccardo De Bin
+ PDF Chat	A boosting first-hitting-time model for survival analysis in high-dimensional settings	2022	Riccardo De Bin Vegard Grødem Stikbakke
+	A decision support system for safer airplane landings: Predicting runway conditions using XGBoost and explainable AI	2022	Alise Danielle Midtfjord Riccardo De Bin Arne Bang Huseby
+	A copula-based boosting model for time-to-event prediction with dependent censoring	2022	Alise Danielle Midtfjord Riccardo De Bin Arne Bang Huseby
+ PDF Chat	Modelling publication bias and <i>p</i>‐hacking	2021	Jonas Moss Riccardo De Bin
+ PDF Chat	Framework for evaluating statistical models in physics education research	2021	John M. Aiken Riccardo De Bin H. J. Lewandowski Marcos D. Caballero
+	A Machine Learning Approach to Safer Airplane Landings: Predicting Runway Conditions using Weather and Flight Data.	2021	Alise Danielle Midtfjord Riccardo De Bin Arne Bang Huseby
+	A Framework for Evaluating Statistical Models in Physics Education Research	2021	John M. Aiken Riccardo De Bin H. J. Lewandowski Marcos D. Caballero
+	Simple statistical models and sequential deep learning for Lithium-ion batteries degradation under dynamic conditions: Fractional Polynomials vs Neural Networks.	2021	Clara Bertinelli Salucci Azzeddine Bakdi Ingrid K. Glad Erik Vanem Riccardo De Bin
+	A Framework for Evaluating Statistical Models in Physics Education Research	2021	John M. Aiken Riccardo De Bin H. J. Lewandowski Marcos D. Caballero
+	Multivariable Fractional Polynomials for lithium-ion batteries degradation models under dynamic conditions	2021	Clara Bertinelli Salucci Azzeddine Bakdi Ingrid K. Glad Erik Vanem Riccardo De Bin
+ PDF Chat	Predicting time to graduation at a large enrollment American university	2020	John M. Aiken Riccardo De Bin M. Hjorth‐Jensen Marcos D. Caballero
+ PDF Chat	Selection of variables for multivariable models: Opportunities and limitations in quantifying model stability by resampling	2020	Christine Wallisch Daniela Dunkler Geraldine Rauch Riccardo De Bin Georg Heinze
+ PDF Chat	Accounting for grouped predictor variables or pathways in high-dimensional penalized Cox regression models	2020	Shaima Belhechmi Riccardo De Bin Federico Rotolo Stefan Michiels
+	On the asymptotic behaviour of the variance estimator of a <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e208" altimg="si7.svg"><mml:mi>U</mml:mi></mml:math>-statistic	2020	Mathias Fuchs Roman Hornung Anne‐Laure Boulesteix Riccardo De Bin
+	Additional file 1 of Accounting for grouped predictor variables or pathways in high-dimensional penalized Cox regression models	2020	Shaima Belhechmi Riccardo De Bin Federico Rotolo Stefan Michiels
+	Modelling publication bias and p-hacking	2019	Jonas Moss Riccardo De Bin
+ PDF Chat	Combining clinical and molecular data in regression prediction models: insights from a simulation study	2019	Riccardo De Bin Anne‐Laure Boulesteix Axel Benner Natália Becker Willi Sauerbrei
+	Influence of single observations on the choice of the penalty parameter in ridge regression	2019	Kristoffer H. Hellton Camilla Lingjærde Riccardo De Bin
+	Modelling publication bias and p-hacking	2019	Jonas Moss Riccardo De Bin
+ PDF Chat	Handling co-dependence issues in resampling-based variable selection procedures: a simulation study	2017	Riccardo De Bin Willi Sauerbrei
+ PDF Chat	Detection of influential points as a byproduct of resampling-based variable selection procedures	2017	Riccardo De Bin Anne‐Laure Boulesteix Willi Sauerbrei
+	Overview of Topics Related to Model Selection for Regression	2017	Riccardo De Bin
+ PDF Chat	Boosting in Cox regression: a comparison between the likelihood-based and the model-based approaches with focus on the R-packages CoxBoost and mboost	2016	Riccardo De Bin
+	On the equivalence between conditional and random-effects likelihoods in exponential families	2015	Riccardo De Bin
+ PDF Chat	Subsampling Versus Bootstrapping in Resampling-Based Model Selection for Multivariable Regression	2015	Riccardo De Bin Silke Janitza Willi Sauerbrei Anne‐Laure Boulesteix
+ PDF Chat	Integrated likelihoods in models with stratum nuisance parameters	2015	Riccardo De Bin Nicola Sartori Thomas A. Severini
+	A U-statistic estimator for the variance of resampling-based error estimators	2013	Mathias Fuchs Roman Hornung Riccardo De Bin Anne‐Laure Boulesteix
+	A U-statistic estimator for the variance of resampling-based error estimators	2013	Mathias Fuchs Roman Hornung Riccardo De Bin Anne‐Laure Boulesteix
+	Integrated likelihood for the treatment of nuisance parameters	2012	Riccardo De Bin

Common Coauthors

Coauthor	Papers Together
Anne‐Laure Boulesteix	6
Federico Rotolo	4
John M. Aiken	4
Willi Sauerbrei	4
Shaima Belhechmi	4
Stefan Michiels	4
Marcos D. Caballero	4
Arne Bang Huseby	3
Jonas Moss	3
Georg Heinze	3
Ingrid K. Glad	3
Clara Bertinelli Salucci	3
Erik Vanem	3
H. J. Lewandowski	3
Alise Danielle Midtfjord	3
Roman Hornung	3
Azzeddine Bakdi	3
Camilla Lingjærde	2
Aliaksandr Hubin	2
Mathias Fuchs	2
Kristoffer H. Hellton	2
Gwénaël Le Teuff	1
Nicola Sartori	1
Christine Wallisch	1
Daniela Dunkler	1
Timo Braun	1
Geraldine Rauch	1
Mathias Fuchs	1
Anders Kvellestad	1
Natália Becker	1
Silke Janitza	1
Axel Benner	1
Thomas A. Severini	1
Gwénaël Le Teuff	1
Vegard Grødem Stikbakke	1
M. Hjorth‐Jensen	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	6
+	A bootstrap resampling procedure for model building: Application to the cox regression model	1992	Willi Sauerbrei Martin Schumacher	4
+	The bootstrap and identification of prognostic factors via cox's proportional hazards regression model	1985	Chen‐Hsin Chen Stephen L. George	4
+	Assessment and comparison of prognostic classification schemes for survival data	1999	Erika Graf Claudia Schmoor Willi Sauerbrei M. Schumacher	4
+ PDF Chat	Subsampling Versus Bootstrapping in Resampling-Based Model Selection for Multivariable Regression	2015	Riccardo De Bin Silke Janitza Willi Sauerbrei Anne‐Laure Boulesteix	4
+	Ridge Regression: Biased Estimation for Nonorthogonal Problems	1970	Arthur E. Hoerl Robert W. Kennard	4
+ PDF Chat	Variable selection – A review and recommendations for the practicing statistician	2018	Georg Heinze Christine Wallisch Daniela Dunkler	4
+	The Importance of Knowing When to Stop	2012	Benjamin Hofner Matthias Schmid Andreas Mayr	4
+	On stability issues in deriving multivariable regression models	2014	Willi Sauerbrei Anika Buchholz Anne‐Laure Boulesteix Harald Binder	4
+ PDF Chat	Allowing for mandatory covariates in boosting estimation of sparse high-dimensional survival models	2008	Harald Binder Martin Schumacher	4
+ PDF Chat	Stability Selection	2010	Nicolai Meinshausen Peter Bühlmann	4
+ PDF Chat	Added predictive value of high-throughput molecular data to clinical data and its validation	2011	Anne‐Laure Boulesteix Willi Sauerbrei	4
+	Some Ideas on Using the Bootstrap in Assessing Model Variability	1983	Gail Gong	4
+	The group exponential lasso for bi‐level variable selection	2015	Patrick Breheny	3
+	Regularization Paths for Generalized Linear Models via Coordinate Descent.	2010	Jerome H. Friedman Trevor Hastie Rob Tibshirani	3
+	Regression Using Fractional Polynomials of Continuous Covariates: Parsimonious Parametric Modelling	1994	Patrick Royston Douglas G. Altman	3
+ PDF Chat	The Use of Resampling Methods to Simplify Regression Models in Medical Statistics	1999	Willi Sauerbrei	3
+ PDF Chat	Model-based boosting in R: a hands-on tutorial using the R package mboost	2012	Benjamin Hofner Andreas Mayr Nikolay Robinzonov Matthias Schmid	3
+ PDF Chat	Boosting in Cox regression: a comparison between the likelihood-based and the model-based approaches with focus on the R-packages CoxBoost and mboost	2016	Riccardo De Bin	3
+	XGBoost	2016	Tianqi Chen Carlos Guestrin	3
+ PDF Chat	Boosting Algorithms: Regularization, Prediction and Model Fitting	2007	Peter Bühlmann Torsten Hothorn	3
+ PDF Chat	To Explain or to Predict?	2010	Galit Shmueli	3
+ PDF Chat	biospear: an R package for biomarker selection in penalized Cox regression	2017	Nils Ternès Federico Rotolo Stefan Michiels	3
+	Linear Model Selection by Cross-validation	1993	Jun Shao	3
+ PDF Chat	Building Multivariable Prognostic and Diagnostic Models: Transformation of the Predictors by Using Fractional Polynomials	1999	Willi Sauerbrei Patrick Royston	3
+	Information Theory and an Extension of the Maximum Likelihood Principle	1998	H. Akaike	3
+ PDF Chat	The Elements of Statistical Learning	2009	Trevor Hastie Robert Tibshirani Jerome H. Friedman	3
+ PDF Chat	Adaptive Lasso for Cox's proportional hazards model	2007	Hao Helen Zhang Wenlian Lu	3
+ PDF Chat	Operating Characteristics and Extensions of the False Discovery Rate Procedure	2002	Christopher R. Genovese Larry Wasserman	3
+ PDF Chat	The Adaptive Lasso and Its Oracle Properties	2006	Hui Zou	3
+ PDF Chat	Penalized methods for bi-level variable selection	2009	Patrick Breheny Jian Huang	3
+	A Sparse-Group Lasso	2012	Noah Simon Jerome H. Friedman Trevor Hastie Robert Tibshirani	3
+ PDF Chat	Multiple testing of treatment‐effect‐modifying biomarkers in a randomized clinical trial with a survival endpoint	2011	Stefan Michiels Richard F. Potthoff Stephen L. George	3
+ PDF Chat	Bootstrap Methods: Another Look at the Jackknife	1979	B. Efron	3
+ PDF Chat	False discovery rate, sensitivity and sample size for microarray studies	2005	Yudi Pawitan Stefan Michiels Serge Koscielny Arief Gusnanto Alexander Ploner	3
+	Regularization Paths for Cox's Proportional Hazards Model via Coordinate Descent	2011	Noah Simon J. Friedman Trevor Hastie Rob Tibshirani	3
+ PDF Chat	Model Selection and Estimation in Regression with Grouped Variables	2005	Ming Yuan Yi Lin	3
+	Integrated likelihood functions for non-Bayesian inference	2007	Thomas A. Severini	3
+ PDF Chat	Variable selection for optimal treatment decision	2011	Wenbin Lu Hao Helen Zhang Donglin Zeng	2
+	Improving the robustness of fractional polynomial models by preliminary covariate transformation: A pragmatic approach	2006	Patrick Royston Willi Sauerbrei	2
+	Multivariable regression model building by using fractional polynomials: Description of SAS, STATA and R programs	2005	Willi Sauerbrei Carolina Meier‐Hirmer Axel Benner Patrick Royston	2
+	On properties of predictors derived with a two-step bootstrap model averaging approach—A simulation study in the linear regression model	2007	Anika Buchholz Norbert Holländer Willi Sauerbrei	2
+	Integrated likelihood methods for eliminating nuisance parameters	1999	James O. Berger Brunero Liseo Robert L. Wolpert	2
+ PDF Chat	Frequentist Model Average Estimators	2003	Nils Lid Hjort Gerda Claeskens	2
+	Parameter Orthogonality and Approximate Conditional Inference	1987	D. R. Cox Nancy Reid	2
+	Stochastic gradient boosting	2002	Jerome H. Friedman	2
+ PDF Chat	Flexible boosting of accelerated failure time models	2008	Matthias Schmid Torsten Hothorn	2
+ PDF Chat	Over-optimism in bioinformatics research	2009	Anne‐Laure Boulesteix	2
+	Masking Effect on Tests for Outliers in Exponential Models	1985	S. M. Bendre B. K. Kale	2
+	Stabilizing the lasso against cross-validation variability	2013	Steven Roberts Gen Nowak	2