Results 21 to 30 of about 22,611 (308)

Uniform Bahadur Representation for Nonparametric Censored Quantile Regression: A Redistribution-of-Mass Approach [PDF]

open access: yes, 2016
Censored quantile regressions have received a great deal of attention in the literature. In a linear setup, recent research has found that an estimator based on the idea of “redistribution-of-mass” in Efron (1967, Proceedings of the Fifth Berkeley ...
Kong, Efang, Xia, Yingcun
core   +1 more source

Exploring the Effects of Early Censoring and Analysis of Clinical Trial Survival Data on Effectiveness and Cost-effectiveness Estimation through a Case Study in Advanced Breast Cancer

open access: yesMedical Decision Making, 2018
Interim analyses of clinical trial data are frequently used to provide evidence to obtain marketing authorization for new drugs. However, results from such analyses may not reflect true estimates of relative effectiveness when trial follow-up is complete. Survival results, available at 2 time points from a breast cancer clinical trial, were compared to
Bagust, Adrian, Beale, Sophie J
openaire   +3 more sources

Geoadditive hazard regression for interval censored survival times [PDF]

open access: yes, 2005
The Cox proportional hazards model is the most commonly used method when analyzing the impact of covariates on continuous survival times. In its classical form, the Cox model was introduced in the setting of right-censored observations.
Thomas Kneib, Kneib, Thomas
core   +1 more source

Flexible Parametric Accelerated Hazard Model: Simulation and Application to Censored Lifetime Data with Crossing Survival Curves

open access: yesMathematical and Computational Applications, 2022
This study aims to propose a flexible, fully parametric hazard-based regression model for censored time-to-event data with crossing survival curves. We call it the accelerated hazard (AH) model.
Abdisalam Hassan Muse   +3 more
doaj   +1 more source

Estimating Dynamic Signals From Trial Data With Censored Values

open access: yesComputational Psychiatry, 2017
Censored data occur commonly in trial-structured behavioral experiments and many other forms of longitudinal data. They can lead to severe bias and reduction of statistical power in subsequent analyses.
Ali Yousefi   +4 more
doaj   +1 more source

MAXIMUM LIKELIHOOD ESTIMATION OF THE KUMARASWAMY MARSHAL-OLKIN LINDELY -LOMAX DISTRIBUTION FROM TYPE II CENSORED SAMPLES [PDF]

open access: yesMaǧallaẗ Al-Buḥūṯ Al-Mālīyyaẗ wa Al-Tiğāriyyaẗ
This paper introduces and studies the Kumaraswamy Marshall–Olkin Lindley–Lomax (KMOLL) distribution, a new and flexible four-parameter lifetime model capable of capturing a variety of hazard rate shapes, including increasing, decreasing, bathtub, and ...
أحمد أبو المعاطي   +1 more
doaj   +1 more source

ANALISIS SURVIVAL DENGAN COX PROPORTIONAL HAZARD PADA KASUS DEMAM TIFOID

open access: yesMajalah Ilmiah Matematika dan Statistika, 2022
A common problem found in survival data is the presence of censored data. The length of hospitalization of Typhoid fever patients until declared cured is one of example of this data. Here, we use Cox regression model to analysis this data.
Nurul Azizah Baisaku   +2 more
doaj   +1 more source

Goodness-of-fit criteria for survival data [PDF]

open access: yes, 2004
The definition of an appropriate measure for goodness-of-fit in case of survival data comparable to R^2 in linear regression is difficult due to censored observations.
Müller, Martina, Müller, M.
core   +1 more source

Global Bahadur Representation For NonParametric Censored Regression Quantiles and its Applications [PDF]

open access: yes, 2013
This paper is concerned with the nonparametric estimation of regression quantiles of a response variable that is randomly censored. Using results on the strong uniform convergence rate of U-processes, we derive a global Bahadur representation for a ...
Linton, Oliver   +2 more
core   +1 more source

Flexible Boosting of Accelerated Failure Time Models [PDF]

open access: yes, 2008
When boosting algorithms are used for building survival models from high-dimensional data, it is common to fit a Cox proportional hazards model or to apply semiparametric least squares techniques.
Torsten Hothorn   +5 more
core   +1 more source

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