Results 71 to 80 of about 23,423 (163)
Mathematical Modeling of Operational Reliability of Mine Lifting Equipment Based on Censored Data
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
doaj +1 more source
Bayesian robust symmetric regression for medical data with heavy-tailed errors and censoring.
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 +2 more
doaj +1 more source
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 +2 more
doaj +1 more source
Regression methods for cost-effectiveness analysis with censored data
A system of seemingly unrelated regression equations is proposed for prognostic factor adjustment and subgroup analysis when comparing two groups in a cost-effectiveness analysis with censored data. Because of the induced dependent censoring on costs and
Willan, A.R., Lin, D.Y., Manca, A.
core +1 more source
Semiparametric Analysis of Clustered Interval-Censored Survival Data with a Cure Fraction
A generalization of the semiparametric Cox's proportional hazards model by means of a random effect or frailty approach to accommodate clustered survival data with a cure fraction is considered.
K.F. Lam +3 more
core +1 more source
Sensitivity models for missing covariates in the analysis of survival data from multiple surveys [PDF]
Using individual patient data from five independent surveys, we evaluate regional variations in survival in cerebral palsy. The influence of four important variables measuring disability, which are only partially observed for many cases, are analysed ...
Hemming, Karla, Hutton, Jane
core
This paper introduces an advanced framework for modeling heterogeneous lifetime data through the development of the generalized Gompertz-G (GGG) family of distributions.
Lucky Nyathi +2 more
doaj +1 more source
Smoothed Weighted Quantile Regression for Censored Data in Survival Analysis
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 +3 more
doaj +1 more source
p3state.msm: Analyzing Survival Data from an Illness-Death Model [PDF]
In longitudinal studies of disease, patients can experience several events across a followup period. Analysis of such studies can be successfully performed by multi-state models.
Luís Filipe Meira Machado +1 more
core
A Method of Nonparametric Survival Analysis for Doubly Censored Data.
This thesis presents a new model and method of analysis for survival time data which can be right and /or left censored. Most of the recent work in survival analysis has been concerned with association between certain covariates, X, and time S ...
Finkelstein, Dianne Madelyn Schwartz
core +3 more sources

