Results 11 to 20 of about 22,611 (308)

Weighted Empirical Likelihood for Accelerated Life Model with Various Types of Censored Data

open access: yesStats
In analysis of survival data, the Accelerated Life Model (ALM) is one of the widely used semiparametric models, and we often encounter various types of censored survival data, such as right censored data, doubly censored data, interval censored data ...
Jian-Jian Ren, Yiming Lyu
doaj   +3 more sources

Quantile Regression in Survival Analysis: Comparing Check-Based Modeling and the Minimum Distance Approach

open access: yesJournal of Biostatistics and Epidemiology, 2023
Introduction: Quantile regression is a valuable alternative for survival data analysis, enabling flexible evaluations of covariate effects on survival outcomes with intuitive interpretations. It offers practical computation and reliability.
Fereshteh Mokhtarpour   +3 more
doaj   +2 more sources

Improved nonparametric penalized maximum likelihood estimation for arbitrarily censored survival data [PDF]

open access: yesStatistics in Medicine, 2022
Nonparametric maximum likelihood estimation encompasses a group of classic methods to estimate distribution-associated functions from potentially censored and truncated data, with extensive applications in survival analysis.
Sham, Pak C   +7 more
core   +2 more sources

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

open access: yesAxioms
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
doaj   +2 more sources

Survival Analysis and Applications of Weighted NH Parameters Using Progressively Censored Data

open access: yesSymmetry, 2023
A new weighted Nadarajah–Haghighi (WNH) distribution, as an alternative competitor model to gamma, standard half-logistic, generalized-exponential, Weibull, and other distributions, is considered.
A. Elshahhat, Heba S. Mohammed
semanticscholar   +1 more source

Survival analysis with censored data: a further twist on ignorability conditions

open access: yesStatistics (Berlin), 2023
A key assumption for the application of methods concerning censored data is that the random nature of the censoring mechanism should be ignorable when making likelihood-based inferences.
Ramon Oller, G. Gómez Melis
semanticscholar   +1 more source

Estimation of Conditional Mixture Weibull Distribution with Right Censored Data Using Neural Network for Time-to-Event Analysis [PDF]

open access: yesPacific-Asia Conference on Knowledge Discovery and Data Mining, 2020
In this paper, we consider survival analysis with right-censored data which is a common situation in predictive maintenance and health field. We propose a model based on the estimation of two-parameter Weibull distribution conditionally to the features ...
A.-C. Bennis, S. Mouysset, M. Serrurier
semanticscholar   +1 more source

Examining Selected Theoretical Distributions of Life Expectancy to Analyse Customer Loyalty Durability. The Case of a European Retail Bank

open access: yesActa Universitatis Lodziensis. Folia Oeconomica, 2020
One of the key elements related to calculating Customer Lifetime Value is to estimate the duration of a client’s relationship with a bank in the future. This can be done using survival analysis.
Dominik Kubacki, Robert Kubacki
doaj   +1 more source

SURVIVAL FUNCTION AND HAZARD FUNCTION ANALYSIS OF EXPONENTIAL DISTRIBUTION IN TYPE I CENSORED SURVIVAL DATA: A CASE STUDY OF BREAST CANCER PATIENTS

open access: yesBAREKENG JURNAL ILMU MATEMATIKA DAN TERAPAN, 2023
Breast cancer is the most common cancer in women and the leading cause of cancer-related death in Indonesia. Analysis of survival data is important for improving the treatment and care of breast cancer patients. This study aims to estimate the parameters,
Ardi Kurniawan   +2 more
semanticscholar   +1 more source

Estimating the Individual Treatment Effect on Survival Time Based on Prior Knowledge and Counterfactual Prediction

open access: yesEntropy, 2022
The estimation of the Individual Treatment Effect (ITE) on survival time is an important research topic in clinics-based causal inference. Various representation learning methods have been proposed to deal with its three key problems, i.e., reducing ...
Yijie Zhao, Hao Zhou, Jin Gu, Hao Ye
doaj   +1 more source

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