Search Results - "Li Li, Pang"

Modification of NdNbO 4 microwave dielectric ceramic by Bi substitutions by Pang, Li‐Xia, Zhou, Di

“…In the present work, Bi 3+ was used to substitute for Nd 3+ in the NdNbO 4 ceramic and pure fergusonite solid solution was formed within 20 mol. %…”
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Analysis of length‐biased and partly interval‐censored survival data with mismeasured covariates by Chen, Li‐Pang, Qiu, Bangxu

“…In this paper, we analyze the length‐biased and partly interval‐censored data, whose challenges primarily come from biased sampling and interfere induced by…”
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Modification of NdNbO4 microwave dielectric ceramic by Bi substitutions by Pang, Li‐Xia, Zhou, Di

“…In the present work, Bi3+ was used to substitute for Nd3+ in the NdNbO4 ceramic and pure fergusonite solid solution was formed within 20 mol. % substitutions…”
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Enhanced energy storage density by inducing defect dipoles in lead free relaxor ferroelectric BaTiO3-based ceramics by Li, Wen-Bo, Zhou, Di, Pang, Li-Xia

“…In this work, Mn-doped 0.9BaTiO3-0.1Bi(Mg2/3Nb1/3)O3 ceramics were prepared by the conventional solid state reaction method, and the effect of defect dipoles…”
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BOOME: A Python package for handling misclassified disease and ultrahigh-dimensional error-prone gene expression data by Chen, Li-Pang

“…In gene expression data analysis framework, ultrahigh dimensionality and measurement error are ubiquitous features. Therefore, it is crucial to correct…”
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Classification and prediction for multi-cancer data with ultrahigh-dimensional gene expressions by Chen, Li-Pang

“…Analysis of gene expression data is an attractive topic in the field of bioinformatics, and a typical application is to classify and predict individuals'…”
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Analysis of noisy survival data with graphical proportional hazards measurement error models by Chen, Li‐Pang, Yi, Grace Y.

“…In survival data analysis, the Cox proportional hazards (PH) model is perhaps the most widely used model to feature the dependence of survival times on…”
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Variable Selection and Estimation for Misclassified Binary Responses and Multivariate Error-Prone Predictors by Chen, Li-Pang

“…In statistical analysis or supervised learning, classification has been an attractive topic. Typically, a main goal is to adopt predictors to characterize the…”
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Comparison of immune response to human rhinovirus C and respiratory syncytial virus in highly differentiated human airway epithelial cells by Yuan, Xin-Hui, Pang, Li-Li, Yang, Jing, Jin, Yu

“…Human rhinovirus C (HRV-C) accounts for a large proportion of HRV-related illnesses, but the immune response to HRV-C infection has not been elucidated. Our…”
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Classification and prediction for multi-cancer data with ultrahigh-dimensional gene expressions by Li-Pang Chen

“…Analysis of gene expression data is an attractive topic in the field of bioinformatics, and a typical application is to classify and predict individuals’…”
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Diagnostic Accuracy of the Berlin Questionnaire, STOP-Bang, STOP, and Epworth Sleepiness Scale in Detecting Obstructive Sleep Apnea: A Bivariate Meta-analysis by Chiu, Hsiao-Yean, Chen, Pin-Yuan, Chuang, Li-Pang, Chen, Ning-Hung, Tu, Yu-Kang, Hsieh, Yu-Jung, Wang, Yu-Chi, Guilleminault, Christian

“…Summary Obstructive sleep apnea (OSA) is a highly prevalent sleep disorder; however, it remains underdiagnosed and undertreated. Although screening tools such…”
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A note of feature screening via a rank‐based coefficient of correlation by Chen, Li‐Pang

“…Feature screening is a useful and popular tool to detect informative predictors for ultrahigh‐dimensional data before developing statistical analysis or…”
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Estimation of Graphical Models: An Overview of Selected Topics by Chen, Li‐Pang

“…Summary Graphical modelling is an important branch of statistics that has been successfully applied in biology, social science, causal inference and so on…”
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Feature screening via concordance indices for left-truncated and right-censored survival data by Chen, Li-Pang

“…Ultrahigh-dimensional data analysis has been a popular topic in decades. In the framework of ultrahigh-dimensional setting, feature screening methods are key…”
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Accelerated failure time models with error-prone response and nonlinear covariates by Chen, Li-Pang

“…As a specific application of survival analysis, one of main interests in medical studies aims to analyze the patients’ survival time of a specific cancer…”
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Microwave dielectric properties of temperature‐stable zircon‐type (Bi, Ce)VO4 solid solution ceramics by Guo, Huan‐Huan, Zhou, Di, Liu, Wen‐Feng, Pang, Li‐Xia, Wang, Da‐Wei, Su, Jin‐Zhan, Qi, Ze‐Ming

“…In the (Bi1 − xCex)VO4 (0 ≤ x ≤ 1) system, we found that the (Bi1 − xCex)VO4 (0 ≤ x ≤ 0.1) belongs to the monoclinic scheelite phase and the (Bi1 − xCex)VO4…”
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The spillover effects among fossil fuel, renewables and carbon markets: Evidence under the dual dilemma of climate change and energy crises by Su, Chi-Wei, Pang, Li-Dong, Qin, Meng, Lobonţ, Oana-Ramona, Umar, Muhammad

“…The environmental emergency and energy crisis are serious challenges exposed to Europe, which results in a fundamental shift in the linkages regarding fossil…”
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Extreme high energy storage efficiency in perovskite structured (1-x)(Ba0.8Sr0.2)TiO3-xBi(Zn2/3Nb1/3)O3 (0.04 ≤ x ≤ 0.16) ceramics by Zhang, Lei, Pang, Li-Xia, Li, Wen-Bo, Zhou, Di

“…Dielectric materials with high power density, fast charge and discharge rates, and high energy-storage density are urgently required due to the rapid…”
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AFFECT: an R package for accelerated functional failure time model with error-contaminated survival times and applications to gene expression data by Chen, Li-Pang, Huang, Hsiao-Ting

“…Survival analysis has been used to characterize the time-to-event data. In medical studies, a typical application is to analyze the survival time of specific…”
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De-noising boosting methods for variable selection and estimation subject to error-prone variables by Chen, Li-Pang

“…Boosting is one of the most powerful statistical learning methods that combines multiple weak learners into a strong learner. The main idea of boosting is to…”
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