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Variable selection for high‐dimensional partly linear additive Cox model with application to Alzheimer's disease

Statistics in medicine, 2020-10, Vol.39 (23), p.3120-3134

2020

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Group regularization for zero‐inflated negative binomial regression models with an application to health care demand in Germany

Statistics in medicine, 2018-09, Vol.37 (20), p.3012-3026

2018

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Simultaneous variable selection and estimation for survival data via the Gaussian seamless‐L0$$ {L}_0 $$ penalty

Statistics in medicine, 2024-04, Vol.43 (8), p.1509-1526

2024

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Bayesian variable selection with a pleiotropic loss function in Mendelian randomization

Statistics in medicine, 2021-10, Vol.40 (23), p.5025-5045

2021

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Efficient ℓ0‐norm feature selection based on augmented and penalized minimization

Statistics in medicine, 2018-02, Vol.37 (3), p.473-486

2018

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SuRF: A new method for sparse variable selection, with application in microbiome data analysis

Statistics in medicine, 2021-02, Vol.40 (4), p.897-919

2021

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Comparing methods for estimating patient‐specific treatment effects in individual patient data meta‐analysis

Statistics in medicine, 2021-03, Vol.40 (6), p.1553-1573

2021

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Integrative deep learning with prior assisted feature selection

Statistics in medicine, 2024-09, Vol.43 (20), p.3792-3814

2024

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Inconsistency identification in network meta‐analysis via stochastic search variable selection

Statistics in medicine, 2023-11, Vol.42 (26), p.4850-4866

2023

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Empirical extensions of the lasso penalty to reduce the false discovery rate in high-dimensional Cox regression models

Statistics in medicine, 2016-07, Vol.35 (15), p.2561-2573

2016

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A systematic review and evaluation of statistical methods for group variable selection

Statistics in medicine, 2023-02, Vol.42 (3), p.331-352

2023

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Local false discovery rate estimation with competition‐based procedures for variable selection

Statistics in medicine, 2024-01, Vol.43 (1), p.61-88

2024

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Better prediction by use of co-data: adaptive group-regularized ridge regression

Statistics in medicine, 2016-02, Vol.35 (3), p.368-381

2016

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Selection of variables for multivariable models: Opportunities and limitations in quantifying model stability by resampling

Statistics in medicine, 2021-01, Vol.40 (2), p.369-381

2021

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Efficient ℓ 0 -norm feature selection based on augmented and penalized minimization

Statistics in medicine, 2018-02, Vol.37 (3), p.473-486

2018

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The reciprocal Bayesian LASSO

Statistics in medicine, 2021-09, Vol.40 (22), p.4830-4849

2021

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Sequential knockoffs for continuous and categorical predictors: With application to a large psoriatic arthritis clinical trial pool

Statistics in medicine, 2021-06, Vol.40 (14), p.3313-3328

2021

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Structured learning in time‐dependent Cox models

Statistics in medicine, 2024-07, Vol.43 (17), p.3164-3183

2024

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Genome‐wide search algorithms for identifying dynamic gene co‐expression via Bayesian variable selection

Statistics in medicine, 2023-12, Vol.42 (30), p.5616-5629

2023

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Selection of important variables and determination of functional form for continuous predictors in multivariable model building

Statistics in medicine, 2007-12, Vol.26 (30), p.5512-5528

2007

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Covariate adjustment for two-sample treatment comparisons in randomized clinical trials: A principled yet flexible approach

Statistics in medicine, 2008-10, Vol.27 (23), p.4658-4677

2008

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A Bayesian multistage spatio‐temporally dependent model for spatial clustering and variable selection

Statistics in medicine, 2023-11, Vol.42 (26), p.4794-4823

2023

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Variable selection in semiparametric regression models for longitudinal data with informative observation times

Statistics in medicine, 2022-07, Vol.41 (17), p.3281-3298

2022

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A Bayesian framework for pathway-guided identification of cancer subgroups by integrating multiple types of genomic data

Statistics in medicine, 2023-12, Vol.42 (28), p.5266-5284

2023

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A Bayesian joint model for compositional mediation effect selection in microbiome data

Statistics in medicine, 2023-07, Vol.42 (17), p.2999-3015

2023

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Variable selection for high‐dimensional partly linear additive Cox model with application to Alzheimer's disease

Group regularization for zero‐inflated negative binomial regression models with an application to health care demand in Germany

Simultaneous variable selection and estimation for survival data via the Gaussian seamless‐L0$$ {L}_0 $$ penalty

Bayesian variable selection with a pleiotropic loss function in Mendelian randomization

Efficient ℓ0‐norm feature selection based on augmented and penalized minimization

SuRF: A new method for sparse variable selection, with application in microbiome data analysis

Comparing methods for estimating patient‐specific treatment effects in individual patient data meta‐analysis

Integrative deep learning with prior assisted feature selection

Inconsistency identification in network meta‐analysis via stochastic search variable selection

Empirical extensions of the lasso penalty to reduce the false discovery rate in high-dimensional Cox regression models

A systematic review and evaluation of statistical methods for group variable selection

Local false discovery rate estimation with competition‐based procedures for variable selection

Better prediction by use of co-data: adaptive group-regularized ridge regression

Selection of variables for multivariable models: Opportunities and limitations in quantifying model stability by resampling

Efficient ℓ 0 -norm feature selection based on augmented and penalized minimization

The reciprocal Bayesian LASSO

Sequential knockoffs for continuous and categorical predictors: With application to a large psoriatic arthritis clinical trial pool

Structured learning in time‐dependent Cox models

Genome‐wide search algorithms for identifying dynamic gene co‐expression via Bayesian variable selection

Selection of important variables and determination of functional form for continuous predictors in multivariable model building

Covariate adjustment for two-sample treatment comparisons in randomized clinical trials: A principled yet flexible approach

A Bayesian multistage spatio‐temporally dependent model for spatial clustering and variable selection

Variable selection in semiparametric regression models for longitudinal data with informative observation times

A Bayesian framework for pathway-guided identification of cancer subgroups by integrating multiple types of genomic data

A Bayesian joint model for compositional mediation effect selection in microbiome data

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