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 …

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 …

Meta-analysis is an indispensable tool for synthesizing statistical results obtained from
individual studies. Recently, non-Bayesian estimators for individual means were proposed …

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 …

The increased availability of ultrahigh‐dimensional biomarker data and the high demand of
identifying biomarkers importantly related to survival outcomes made feature screening …

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 …

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 …

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 …

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 …

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 …