Results 61 to 70 of about 59,165 (246)
The analysis of lifetime data under censoring schemes plays a vital role in reliability studies and survival analysis, where complete information is often difficult to obtain. This work focuses on the estimation of the parameters of the recently proposed
Ela Verma +3 more
doaj +1 more source
A General Imputation Methodology for Nonparametric Regression with Censored Data [PDF]
We consider the random design nonparametric regression problem when the response variable is subject to a general mode of missingness or censoring. A traditional approach to such problems is imputation, in which the missing or censored responses are ...
Rubin, Dan, van der Laan, Mark J.
core +1 more source
This paper considers the nonparametric maximum likelihood estimator (MLE) for the joint distribution function of an interval censored survival time and a continuous mark variable. We provide a new explicit formula for the MLE in this problem. We use this
Aalen O. +18 more
core +2 more sources
Objective Mycophenolate Mofetil (MMF) use in limited cutaneous systemic sclerosis (lcSSc) is relatively uncommon due to the lower fibrotic burden and the predominance of the vascular complications. In vitro observations and clinical data from transplanted patients suggest a protective effect of MMF on endothelial function.
Enrico De Lorenzis +77 more
wiley +1 more source
SAMPLE SIZE DETERMINATION IN NON-RADOMIZED SURVIVAL STUDIES WITH NON-CENSORED AND CENSORED DATA
Introduction: In survival analysis, determination of sufficient sample size to achieve suitable statistical power is important .In both parametric and non-parametric methods of classic statistics, randomn selection of samples is a basic condition ...
S FAGHIHZADEH, M RAHGOZAR
doaj
The Lomax distribution has important applications in survival analysis, reliability engineering, insurance, finance, and other fields. Middle-censoring is an important censoring scheme, and data with middle-censoring will produce censoring in random ...
Peiyao Ren, Wenhao Gui, Shan Liang
doaj +1 more source
Statistics of extremes under random censoring
We investigate the estimation of the extreme value index when the data are subject to random censorship. We prove, in a unified way, detailed asymptotic normality results for various estimators of the extreme value index and use these estimators as the ...
Einmahl, John H. J. +2 more
core +3 more sources
This study integrated early‐stage patient specimens with publicly available datasets encompassing non‐malignant lung tissues and advanced‐stage LUAD through single‐cell sequencing, revealing a dynamically remodeled tumor microenvironment characterized by a hypoxia‐adapted malignant subset (C5), immunosuppressive LGMN+ macrophages, STAT1‐driven ...
Bomiao Qing +10 more
wiley +1 more source
FLARE, a multimodal AI framework, combines pathology slides, radiology scans, and clinical reports to predict colorectal cancer outcomes, even when some tests are missing. Evaluated retrospectively in 1679 patients from four medical centers, it consistently achieved the best prognostic accuracy and clearly separated high‐ and low‐risk groups.
Linhao Qu +6 more
wiley +1 more source
This paper proposed a novel accelerated failure time (AFT) model based on the weighted Topp-Leone Weibull (WTLW) distribution, designed for robust survival analysis under censored and uncensored actuarial and biomedical data.
Mohamed Ibrahim +5 more
doaj +1 more source

