Results 61 to 70 of about 59,165 (246)

Inferences for the GKME Distribution Under Progressive Type-I Interval Censoring with Random Removals and Its Application to Survival Data

open access: yesAxioms
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]

open access: yes, 2005
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

Inconsistency of the MLE for the joint distribution of interval censored survival times and continuous marks

open access: yes, 2008
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

MYCOPHENOLATE MOFETIL TREATMENT REDUCES THE RISK OF TREATMENT ESCALATION DUE TO VASCULAR COMPLICATIONS IN LIMITED CUTANEOUS SYSTEMIC SCLEROSIS: EMULATION OF A TARGET TRIAL FROM ITALIAN RHEUMATOLOGY SOCIETY SPRING REGISTRY

open access: yesArthritis Care &Research, Accepted Article.
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

open access: yesJournal of Research in Medical Sciences, 2003
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  

Parameter Estimation of the Lomax Lifetime Distribution Based on Middle-Censored Data: Methodology, Applications, and Comparative Analysis

open access: yesAxioms
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

open access: yes, 2008
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

Characterizing Stage‐Specific Cellular Dynamics and Microenvironmental Remodeling in Lung Adenocarcinoma by Single‐Cell RNA Sequencing

open access: yesAdvanced Science, EarlyView.
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

Foundation Model‐Enabled Multimodal Deep Learning for Prognostic Prediction in Colorectal Cancer with Incomplete Modalities: A Multi‐Institutional Retrospective Study

open access: yesAdvanced Science, EarlyView.
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

A flexible accelerated Weibull distribution for actuarial risk analysis: Theoretical and empirical evaluation with real claims data

open access: yesAIMS Mathematics
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

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