[HTML][HTML] Sensitivity analysis for survival prognostic prediction with gene selection: a copula method for dependent censoring
CT Yeh, GY Liao, T Emura - Biomedicines, 2023 - mdpi.com
Prognostic analysis for patient survival often employs gene expressions obtained from high-
throughput screening for tumor tissues from patients. When dealing with survival data, a …
throughput screening for tumor tissues from patients. When dealing with survival data, a …
[HTML][HTML] A meta-analysis for simultaneously estimating individual means with shrinkage, isotonic regression and pretests
N Taketomi, Y Konno, YT Chang, T Emura - Axioms, 2021 - mdpi.com
Meta-analyses combine the estimators of individual means to estimate the common mean of
a population. However, the common mean could be undefined or uninformative in some …
a population. However, the common mean could be undefined or uninformative in some …
[HTML][HTML] meta.shrinkage: An R Package for Meta-Analyses for Simultaneously Estimating Individual Means
N Taketomi, H Michimae, YT Chang, T Emura - Algorithms, 2022 - mdpi.com
Meta-analysis is an indispensable tool for synthesizing statistical results obtained from
individual studies. Recently, non-Bayesian estimators for individual means were proposed …
individual studies. Recently, non-Bayesian estimators for individual means were proposed …
Buckley–James estimation of generalized additive accelerated lifetime model with ultrahigh‐dimensional data
Z Li, X Zhao - Statistical Analysis and Data Mining: The ASA …, 2023 - Wiley Online Library
High‐dimensional covariates in lifetime data is a challenge in survival analysis, especially in
gene expression profile. The objective of this paper is to propose an efficient algorithm to …
gene expression profile. The objective of this paper is to propose an efficient algorithm to …
Disease progression based feature screening for ultrahigh‐dimensional survival‐associated biomarkers
The increased availability of ultrahigh‐dimensional biomarker data and the high demand of
identifying biomarkers importantly related to survival outcomes made feature screening …
identifying biomarkers importantly related to survival outcomes made feature screening …
A modified risk detection approach of biomarkers by frailty effect on multiple time to event data
A Bhattacharjee, GK Vishwakarma, S Banerjee… - … of Computational and …, 2023 - Elsevier
Disease progression in a cancer patient are identified by a number of indications in the form
of loco-regional relapse, distant metastasis etc. Biomarkers play an essential role in early …
of loco-regional relapse, distant metastasis etc. Biomarkers play an essential role in early …
IDHPre: Intradialytic Hypotension Prediction Model Based on Fully Observed Features
Y Yao, Z Kuang, X Yang, B Wang, Z Niu, J Yang… - … on Intelligent Computing, 2024 - Springer
In the course of dialysis, hypotension is a common complication, known as Intradialytic
Hypotension (IDH). To improve the predictive accuracy and practicality of IDH, we conducted …
Hypotension (IDH). To improve the predictive accuracy and practicality of IDH, we conducted …
Volume under the ROC surface for high-dimensional independent screening with ordinal competing risk outcomes
Y Qu, Y Cheng - Lifetime Data Analysis, 2023 - Springer
We propose a screening method for high-dimensional data with ordinal competing risk
outcomes, which is time-dependent and model-free. Existing methods are designed for …
outcomes, which is time-dependent and model-free. Existing methods are designed for …
[PDF][PDF] Asia Mathematika
M WANG, Y GAO, P LAI - asiamath.org
Accepted: 07 Dec 2022• Published Online: 30 Dec 2022 Abstract: This article focuses on the
feature screening problem of ultrahigh dimensional data with responses missing at random …
feature screening problem of ultrahigh dimensional data with responses missing at random …
高次元Cox 回帰モデルの統計的推測について
本田敏雄 - 日本統計学会誌, 2023 - jstage.jst.go.jp
抄録 データ収集技術の飛躍的進歩により, 説明変数の数 p の非常に多い高次元データが得られる
ようになり, その統計解析が重要な話題となって久しい. そして代表的な解析手法である Lasso …
ようになり, その統計解析が重要な話題となって久しい. そして代表的な解析手法である Lasso …