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Li-Pang Chen

Showing results (1-10 of 18) with videos related to

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Biometrical Journal. Biometrische Zeitschrift|May 9, 2023
A note of feature screening via a rank-based coefficient of correlationLi-Pang Chen
Statistics in Medicine|December 18, 2024
Nonparametric Estimation for Propensity Scores With Misclassified TreatmentsLi-Pang Chen
Plos One|September 15, 2022
Classification and prediction for multi-cancer data with ultrahigh-dimensional gene expressionsLi-Pang Chen
Plos One|October 27, 2022
BOOME: A Python package for handling misclassified disease and ultrahigh-dimensional error-prone gene expression dataLi-Pang Chen
Journal of Applied Statistics|June 16, 2022
Ultrahigh-dimensional sufficient dimension reduction for censored data with measurement error in covariatesLi-Pang Chen
Statistics in Medicine|March 10, 2026
Generalized SIMEX Method: Polynomial Approximation for ExtrapolationLi-Pang Chen, Qihuang Zhang
Biometrics|July 17, 2023
Analysis of length-biased and partly interval-censored survival data with mismeasured covariatesLi-Pang Chen, Bangxu Qiu
BMC Bioinformatics|August 13, 2024
AFFECT: an R package for accelerated functional failure time model with error-contaminated survival times and applications to gene expression dataLi-Pang Chen, Hsiao-Ting Huang
BMC Bioinformatics|June 26, 2026
SurvGME: an R package for survival analysis with graphical and measurement error modelsLi-Pang Chen, Grace Y Yi
Bioinformatics (Oxford, England)|December 11, 2024
GUEST: an R package for handling estimation of graphical structure and multiclassification for error-prone gene expression dataLi-Pang Chen, Hui-Shan Tsao
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Biometrical Journal. Biometrische Zeitschrift|May 9, 2023
A note of feature screening via a rank-based coefficient of correlationLi-Pang Chen
Statistics in Medicine|December 18, 2024
Nonparametric Estimation for Propensity Scores With Misclassified TreatmentsLi-Pang Chen
Plos One|September 15, 2022
Classification and prediction for multi-cancer data with ultrahigh-dimensional gene expressionsLi-Pang Chen
Plos One|October 27, 2022
BOOME: A Python package for handling misclassified disease and ultrahigh-dimensional error-prone gene expression dataLi-Pang Chen
Journal of Applied Statistics|June 16, 2022
Ultrahigh-dimensional sufficient dimension reduction for censored data with measurement error in covariatesLi-Pang Chen
Statistics in Medicine|March 10, 2026
Generalized SIMEX Method: Polynomial Approximation for ExtrapolationLi-Pang Chen, Qihuang Zhang
Biometrics|July 17, 2023
Analysis of length-biased and partly interval-censored survival data with mismeasured covariatesLi-Pang Chen, Bangxu Qiu
BMC Bioinformatics|August 13, 2024
AFFECT: an R package for accelerated functional failure time model with error-contaminated survival times and applications to gene expression dataLi-Pang Chen, Hsiao-Ting Huang
BMC Bioinformatics|June 26, 2026
SurvGME: an R package for survival analysis with graphical and measurement error modelsLi-Pang Chen, Grace Y Yi
Bioinformatics (Oxford, England)|December 11, 2024
GUEST: an R package for handling estimation of graphical structure and multiclassification for error-prone gene expression dataLi-Pang Chen, Hui-Shan Tsao
Pageof 2