Results 21 to 30 of about 75,980 (291)

Survival trees for interval‐censored survival data [PDF]

open access: yesStatistics in Medicine, 2017
Interval‐censored data, in which the event time is only known to lie in some time interval, arise commonly in practice, for example, in a medical study in which patients visit clinics or hospitals at prescheduled times and the events of interest occur between visits.
Wei Fu, Jeffrey S. Simonoff
openaire   +3 more sources

On Entropy Estimation of Inverse Weibull Distribution under Improved Adaptive Progressively Type-II Censoring with Applications

open access: yesAxioms, 2023
This article utilizes improved adaptive progressively Type-II censored data to estimate the entropy of the inverse Weibull distribution. Rényi, q, and Shannon entropy measurements are used to define entropy to achieve this objective.
Farouq Mohammad A. Alam, Mazen Nassar
doaj   +1 more source

A note on the estimation of confidence intervals for cost-effectiveness when costs and effects are censored [PDF]

open access: yes, 2002
<i>Background</i>. The relation between methodological advances in estimation of confidence intervals (CIs) for incremental cost-effectiveness ratios (ICER) and estimation of cost effectiveness in the presence of censoring has not been ...
Blackhouse, G.   +2 more
core   +1 more source

Cumulative distribution function estimation under interval censoring case 1 [PDF]

open access: yes, 2009
We consider projection methods for the estimation of the cumulative distribution function under interval censoring, case 1. Such censored data also known as current status data, arise when the only information available on the variable of interest is ...
Brunel, Elodie, Comte, Fabienne
core   +6 more sources

Bayesian Analysis of Clustered Interval-censored Data [PDF]

open access: yesJournal of Dental Research, 2005
The recording of multiple interval-censored failure times is common in dental research. Modeling multilevel data has been a difficult task. This paper aims to use the Bayesian approach to analyze a set of multilevel clustered interval-censored data from a clinical study to investigate the effectiveness of silver diamine fluoride and sodium fluoride ...
Wong, MCM, Lo, ECM, Lam, KF
openaire   +3 more sources

Simple parametric survival analysis with anonymized register data: A cohort study with truncated and interval censored event and censoring times

open access: yesBMC Research Notes, 2011
Background To preserve patient anonymity, health register data may be provided as binned data only. Here we consider as example, how to estimate mean survival time after a diagnosis of metastatic colorectal cancer from Norwegian register data on time to ...
Kristiansen Ivar S, Støvring Henrik
doaj   +1 more source

Comparison of Different Confidence Intervals under Type-I Censoring Scheme

open access: yesJournal of Mathematics, 2022
In a life testing experiment, the successive failure times at putting n units under test are recorded under consideration that the advance fixed experiment is terminated at time T.
Ali Algarni   +4 more
doaj   +1 more source

A Progressive Interval Type-I Censored Life Test Plan for Rayleigh Distribution

open access: yesAustrian Journal of Statistics, 2019
In this paper, we have considered the problem of optimal inspection times for the progressive interval type-I censoring scheme where uncertainty in the process is governed by the two-parameter Rayleigh distribution.
Arun Kaushik
doaj   +1 more source

Beyond first-order asymptotics for Cox regression [PDF]

open access: yes, 2015
To go beyond standard first-order asymptotics for Cox regression, we develop parametric bootstrap and second-order methods. In general, computation of $P$-values beyond first order requires more model specification than is required for the likelihood ...
Bellio, Ruggero, Pierce, Donald A.
core   +2 more sources

Confidence Bands for the Survival Function Using a Weibull Regression Model in Presence of Arbitrary Censoring

open access: yesRevista Colombiana de Estadística, 2017
Usually, the exact time at which an event occurs cannot be observed for several reasons; for instance, it is not possible to constantly monitor a characteristic of interest.
MARIO CÉSAR JARAMILLO ELORZA   +1 more
doaj   +1 more source

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