Regularization approaches in clinical biostatistics: A review of methods and their applications

Variable selection for causal mediation analysis using LASSO-based methods

(2021) Zhaoxin Ye et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

A multicenter, randomized, placebo-controlled, double-blind phase 3 trial with open-arm comparison indicates safety and efficacy of nephroprotective therapy with ramipril in children with Alport’s syndrome

(2020) Oliver Gross et al.   KIDNEY INTERNATIONAL

Semiparametric integrative interaction analysis for non-small-cell lung cancer

(2020) Yang Li et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Penalization and shrinkage methods produced unreliable clinical prediction models especially when sample size was small

(2020) Richard D. Riley et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Dynamically borrowing strength from another study through shrinkage estimation

(2019) Christian Röver et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Penalized estimation of semiparametric transformation models with interval-censored data and application to Alzheimer’s disease

(2019) Shuwei Li et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

LASSO-type penalization in the framework of generalized additive models for location, scale and shape

(2019) Andreas Groll et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Effect fusion using model-based clustering

(2018) Gertraud Malsiner-Walli et al.   STATISTICAL MODELLING

Analysis of the importance of on-field covariates in the German Bundesliga

(2017) Gunther Schauberger et al.   JOURNAL OF APPLIED STATISTICS

ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R

(2017) Marvin N. Wright et al.   Journal of Statistical Software

Regularized approach for data missing not at random

(2017) Chi-hong Tseng et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Generalized additive models with flexible response functions

(2017) Elmar Spiegel et al.   STATISTICS AND COMPUTING

Doxycycline in early CJD: a double-blinded randomised phase II and observational study

(2016) Daniela Varges et al.   JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY

Class-imbalanced subsampling lasso algorithm for discovering adverse drug reactions

(2016) Ismaïl Ahmed et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Discussion: Bayesian regularization and effect smoothing for categorical predictors

(2016) Helga Wagner et al.   STATISTICAL MODELLING

Regularized regression for categorical data

(2016) Gerhard Tutz et al.   STATISTICAL MODELLING

Bayesian Model Averaging Employing Fixed and Flexible Priors: TheBMSPackage forR

(2015) Stefan Zeugner et al.   Journal of Statistical Software

Regularization Paths for Generalized Linear Models via Coordinate Descent

(2015) Jerome Friedman et al.   Journal of Statistical Software

Unimodal regression using Bernstein-Schoenberg splines and penalties

(2014) Claudia Köllmann et al.   BIOMETRICS

Extending Statistical Boosting

(2014) H. Binder et al.   METHODS OF INFORMATION IN MEDICINE

The Evolution of Boosting Algorithms

(2014) H. Binder et al.   METHODS OF INFORMATION IN MEDICINE

STRengthening Analytical Thinking for Observational Studies: the STRATOS initiative

(2014) Willi Sauerbrei et al.   STATISTICS IN MEDICINE

Variable selection and model choice in structured survival models

(2012) Benjamin Hofner et al.   COMPUTATIONAL STATISTICS

Spike-and-Slab Priors for Function Selection in Structured Additive Regression Models

(2012) Fabian Scheipl et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Alport syndrome—insights from basic and clinical research

(2012) Jenny Kruegel et al.   Nature Reviews Nephrology

Sparse modeling of categorial explanatory variables

(2011) Jan Gertheiss et al.   Annals of Applied Statistics

Boosting qualifies capture–recapture methods for estimating the comprehensiveness of literature searches for systematic reviews

(2011) Gerta Rücker et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

A Framework for Unbiased Model Selection Based on Boosting

(2011) Benjamin Hofner et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Penalized Regression with Ordinal Predictors

(2009) Jan Gertheiss et al.   INTERNATIONAL STATISTICAL REVIEW

Conditional Variable Importance for Random Forests

(2008) Carolin Strobl et al.   BMC BIOINFORMATICS

Boosting additive models using component-wise P-Splines

(2008) Matthias Schmid et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

The Bayesian Lasso

(2008) Trevor Park et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION