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Research article

First published 2016-8

Advanced colorectal neoplasia risk stratification by penalized logistic regression

Yunzhi Lin, Menggang Yu, Sijian Wang [...]

Statistical Methods in Medical Research

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Research article

First published 2022-11

Penalized additive neural network regression

Jae-Kyung Shin, Kwan-Young Bak, Ja-Yong Koo

Intelligent Data Analysis: An International Journal

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Research article

First published 2023-1

Standardization of continuous and categorical covariates in sparse penalized regressions

Xiang Li, Yong Ma, Qing Pan

Statistical Methods in Medical Research

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Research article

First published 2021-8

A general framework for prediction in penalized regression

Alba Carballo, Maria Durban, Göran Kauermann [...]

Statistical Modelling

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Research article

First published 2018-5

Inferential tools in penalized logistic regression for small and sparse data: A comparative study

Marianna Siino, Salvatore Fasola, Vito MR Muggeo

Statistical Methods in Medical Research

Open access

Review article

First published 2023-12

Penalized variable selection in multi-parameter regression survival modeling

Fatima-Zahra Jaouimaa, Il Do Ha, Kevin Burke

Statistical Methods in Medical Research

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Research article

First published 2024-4

Cross-validation approaches for penalized Cox regression

Biyue Dai, Patrick Breheny

Statistical Methods in Medical Research

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Research article

First published 2024-10

New clinical trial design borrowing information across patient subgroups based on fusion-penalized regression models

Marion Kerioui, Alexia Iasonos, Mithat Gönen [...]

Statistical Methods in Medical Research

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Research article

First published 2017-8

Penalized regression models for patent keyword analysis

Jong-Min Kim, Jea-Bok Ryu, Seung-Joo Lee [...]

Model Assisted Statistics and Applications

Open access

Research article

First published 2015

Penalized Ordinal Regression Methods for Predicting Stage of Cancer in High-Dimensional Covariate Spaces

Amanda Elswick Gentry, Colleen K. Jackson-Cook, Debra E. Lyon [...]

Cancer Informatics

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