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Li-Pang Chen

Showing results (11-20 of 18) with videos related to

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BMC Bioinformatics|June 13, 2026
PAGE: an R package for network detection of multivariate error-prone gene expression data with the availability of auxiliary informationLi-Pang Chen, Wan-Yi Chang
Statistics in Medicine|July 15, 2025
Transfer Learning for Error-Contaminated Poisson Regression ModelsJou-Chin Wu, Li-Pang Chen
Plos One|October 3, 2024
EATME: An R package for EWMA control charts with adjustments of measurement errorLi-Pang Chen, Cheng-Kuan Lin
Statistical Methods in Medical Research|January 25, 2023
Estimation of the average treatment effect with variable selection and measurement error simultaneously addressed for potential confoundersGrace Y Yi, Li-Pang Chen
Plos One|September 30, 2024
AteMeVs: An R package for the estimation of the average treatment effect with measurement error and variable selection for confoundersLi-Pang Chen, Grace Y Yi
Biometrics|July 21, 2020
Analysis of noisy survival data with graphical proportional hazards measurement error modelsLi-Pang Chen, Grace Y Yi
Plos One|January 19, 2021
Model-based forecasting for Canadian COVID-19 dataLi-Pang Chen, Qihuang Zhang, Grace Y Yi, et al.
Plos One|February 24, 2023
Sentiment analysis and causal learning of COVID-19 tweets prior to the rollout of vaccinesQihuang Zhang, Grace Y Yi, Li-Pang Chen, et al.
Pageof 2

Showing results (11-20 of 18) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 18 results.
BMC Bioinformatics|June 13, 2026
PAGE: an R package for network detection of multivariate error-prone gene expression data with the availability of auxiliary informationLi-Pang Chen, Wan-Yi Chang
Statistics in Medicine|July 15, 2025
Transfer Learning for Error-Contaminated Poisson Regression ModelsJou-Chin Wu, Li-Pang Chen
Plos One|October 3, 2024
EATME: An R package for EWMA control charts with adjustments of measurement errorLi-Pang Chen, Cheng-Kuan Lin
Statistical Methods in Medical Research|January 25, 2023
Estimation of the average treatment effect with variable selection and measurement error simultaneously addressed for potential confoundersGrace Y Yi, Li-Pang Chen
Plos One|September 30, 2024
AteMeVs: An R package for the estimation of the average treatment effect with measurement error and variable selection for confoundersLi-Pang Chen, Grace Y Yi
Biometrics|July 21, 2020
Analysis of noisy survival data with graphical proportional hazards measurement error modelsLi-Pang Chen, Grace Y Yi
Plos One|January 19, 2021
Model-based forecasting for Canadian COVID-19 dataLi-Pang Chen, Qihuang Zhang, Grace Y Yi, et al.
Plos One|February 24, 2023
Sentiment analysis and causal learning of COVID-19 tweets prior to the rollout of vaccinesQihuang Zhang, Grace Y Yi, Li-Pang Chen, et al.
Pageof 2