Estimation in survival analysis and censored data

Results 41 to 50 of about 18,981 (120)

Analyzing Competing Risks with Progressively Type-II Censored Data in Dagum Distributions

Axioms
Competing risk models are essential in survival analysis for studying systems with multiple mutually exclusive failure events. This study investigates the application of competing risk models in the presence of progressively Type-II censored data for the
Raghd Badwan, Reza Pakyari
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Mathematical Modeling of Operational Reliability of Mine Lifting Equipment Based on Censored Data

Mathematics
In this study, a comprehensive mathematical method for modeling the operational reliability of mine hoisting equipment under conditions of incomplete and heavily censored data is developed.
Denis A. Zadkov +6 more
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Bayesian robust symmetric regression for medical data with heavy-tailed errors and censoring.

PLoS ONE
Bayesian symmetric regression offers a principled framework for modeling data characterized by heavy-tailed errors and censoring, both of which are frequently encountered in medical research. Classical regression methods often yield unreliable results in
Mehmet Ali Cengiz, Talat Şenel, Muhammed Kara +2 more
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Informative Censoring in CDK4/6 Inhibitor Adjuvant Therapy for Early Breast Cancer: A Sensitivity Analysis of Invasive Disease-Free Survival in the monarchE Trial

Epidemiology, Biostatistics and Public Health
INTRODUCTION The estimation of survival curves and hazard functions relies on the assumption of non-informative censoring—that is, the censoring time for an individual provides no further information about that person’s likelihood of survival at a ...
Federico Merlo , Fabio Conforti , Vincenzo Bagnardi +2 more
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Smoothed Weighted Quantile Regression for Censored Data in Survival Analysis

Axioms
In this study, we propose a smoothed weighted quantile regression (SWQR), which combines convolution smoothing with a weighted framework to address the limitations.
Kaida Cai, Hanwen Liu, Wenzhi Fu, Xin Zhao +3 more
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SURVIVAL ANALYSIS AND LENGTH-BIASED SAMPLING

Croatian Operational Research Review, 2010
When survival data are colleted as part of a prevalent cohort study, the recruited cases have already experienced their initiating event. These prevalent cases are then followed for a fixed period of time at the end of which the subjects will either have
Masoud Asgharian
doaj

Statistical Evaluation of Beta-Binomial Probability Law for Removal in Progressive First-Failure Censoring and Its Applications to Three Cancer Cases

Mathematics
Progressive first-failure censoring is a flexible and cost-efficient strategy that captures real-world testing scenarios where only the first failure is observed at each stage while randomly removing remaining units, making it ideal for biomedical and ...
Ahmed Elshahhat, Osama E. Abo-Kasem, Heba S. Mohammed +2 more
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Fatores que influenciam a sobrevivência das micro e pequenas empresas no Brasil / Factors that influence the survival of micro and small enterprises in Brazil

RAM. Revista de Administração Mackenzie
Purpose: This article studies which sets of variables, besides credit and profitability, influence the survival of micro and small enterprises (MSE) over time.
Marcus Louriçal Neves +2 more
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A scoping review of survival analysis methods for doubly interval censored data

Discover Applied Sciences
Doubly interval-censored data (DICD) often emerge in longitudinal studies, where the survival time, T = W − V, denotes the duration between two connected events: the initial event time (V) and the subsequent event time (W), both of which are subject to ...
Himani Kotian +3 more
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On Window Mean Survival Time With Interval-Censored Data. [PDF]

Stat Med
Iijima T, Momozaki T, Ando S.
europepmc +1 more source

survival analysis
medicine
censoring

maximum likelihood estimation
cancer
mathematics