Results 271 to 280 of about 22,611 (308)

Application of the New Extended Topp-Leone Distribution to Complete and Censored Data

Revista Colombiana de Estadística
One of the most important applications of statistical models is in analyzing survival data. In this study, we developed the Gamma Type Two Half Logistic Topp-Leone-G model using the technique earlier proposed by Zografos and Balakrishnan.
V. Nyamajiwa, Regent Retrospect Musekwa, B. Makubate   +2 more
semanticscholar   +1 more source

The joint survival super learner: A super learner for right‐censored data

Statistica neerlandica (Print)
Risk prediction models are widely used to guide real‐world decision‐making in areas such as healthcare and economics, and they also play a key role in estimating nuisance parameters in semiparametric inference.
Anders Munch, T. A. Gerds
semanticscholar   +1 more source

Weibull mixture estimation based on censored data with applications to clustering in reliability engineering

Quality and Reliability Engineering International
It is the purpose of this paper to propose a novel clustering technique tailored to randomly censored data in reliability/survival analysis. It is based on an underlying mixture model of Weibull distributions and consists in estimating its parameters by ...
Florian Lamalle, Vincent Feuillard, Anne Sabourin, Stéphan Clémençon   +3 more
semanticscholar   +1 more source

Regression Analysis of the Generalized Accelerated Hazards Models With Interval‐Censored Data Under Case‐Cohort Studies

Stat
Case‐cohort studies are typically undertaken in scenarios where disease incidence is low, or data collection on certain variables is costly. Case‐cohort researches with interval‐censored data often rely on survival models like the proportional hazards ...
Haiyu Niu, Weipeng Sun, Ximeng Zhang, Jianguo Sun   +3 more
semanticscholar   +1 more source

Jackknifing the Kaplan-Meier survival estimator for censored data : simulation results and asymptotic analysis

2013
N0001482WR20017
Gaver, Donald Paul, Miller, R. G.
openaire   +1 more source

Estimation of the short-term and long-term hazard ratios for interval-censored and truncated data

Statistical Methods in Medical Research
Survival analysis is a vital field in statistics with widespread applications. The short-term and long-term hazard ratio model is a novel semiparametric framework designed to handle crossing survival curves, encompassing the proportional hazards and ...
Rui Wang, Yiwei Fan
semanticscholar   +1 more source

Adaptive Bayesian survival modeling with the Chen-Burr XII distribution: Theory and application to censored COVID-19 data

International Journal of Advances in Applied Sciences
This paper introduces an adaptive Type II progressive censoring strategy to improve Bayesian analysis of survival data in life-testing experiments. Using adaptively censored data, the Chen–Burr XII distribution is examined, and Bayesian estimators are ...
Zakiah I. Kalantan, Heba N. Salem
semanticscholar   +1 more source

A Novel Accelerated Failure Time Model with Risk Analysis under Actuarial Data, Censored and Uncensored Application

Statistics, Optimization & Information Computing
This paper proposes a novel Accelerated Failure Time (AFT) model based on the Weighted Topp-Leone (WTLE) exponential distribution, designed for robust survival analysis under censored and uncensored actuarial and biomedical data.
M. Ibrahim, Hafida Goual, Meribout Kaouter Khaoula, Abdullah H. Al-Nefaie, A. Aboalkhair, H. Yousof   +5 more
semanticscholar   +1 more source

[Parameter estimation using time-dependent Weibull proportional hazards model for survival analysis with partly interval censored data].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University
OBJECTIVE: To assess the validity and effectiveness of parameter estimation using a time-dependent Weibull proportional hazards model for survival analysis containing partly interval censored data and explore the impact of different covariates on the results of analysis.
Shuying, Wang, Xinyu, Liu, Rundong, Li, Yang, Li   +3 more
openaire   +1 more source

Deep partially linear transformation model for right-censored survival data.

Biometrics
Although the Cox proportional hazards (PH) model is well established and extensively used in the analysis of survival data, the PH assumption may not always hold in practical scenarios.
Jun Yin, Yue Zhang, Zhangsheng Yu
semanticscholar   +1 more source