Results 251 to 260 of about 75,980 (291)

A Nonparametric Test for Interval-Censored Failure Time Data with Unequal Censoring

Communications in Statistics - Theory and Methods, 2008
This article considers nonparametric comparison of survival functions, one of the most commonly required task in survival studies. For this, several test procedures have been proposed for interval-censored failure time data in which distributions of censoring intervals are identical among different treatment groups.
Sun, J, Yuen, KC, Zhu, C, Zhao, X
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Cumulative incidence and interval censoring

Acta Ophthalmologica, 2014
AbstractKaplan‐Meier and Cox regression return biased estimates in the presence of competing events that render subjects immune to the event of interest (e.g. a filtration bleb can not fail after dying). Kaplan‐Meier can then be supplemented with cumulative incidence analysis and Cox regression with competing risks regression.
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A demonstration of interval-censored survival analysis

Preventive Veterinary Medicine, 2003
Interval-censoring occurs in survival analysis when the time until an event of interest is not known precisely (and instead, only is known to fall into a particular interval). Such censoring commonly is produced when periodic assessments (usually clinical or laboratory examinations) are used to assess if the event has occurred.
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Interval-censored event history analysis.

Population. English selection, 1997
"Event history analysis...has [over time] branched out in two directions: on the one hand, surveys collecting retrospective information on respondent's life course, family and occupational histories, residential mobility...; on the other, individual biographies compiled by extracting information from administrative sources (vital registration data ...
D, Courgeau, J, Najim
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REGRESSION ANALYSIS OF INTERVAL-CENSORED FAILURE TIME DATA

Statistics in Medicine, 1997
Interval-censored failure time data often occur, for example, in clinical trials or longitudinal studies. For the regression analysis of such data, there have been a number of methods proposed based on continuous regression models such as Cox's proportional hazards model.
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Estimation with interval censored data and covariates.

Lifetime data analysis, 1997
In biostatistical applications interest often focuses on the estimation of the distribution of time T between two consecutive events. If the initial event time is observed and the subsequent event time is only known to be larger or smaller than an observed monitoring time C, then the data conforms to the well understood singly-censored current status ...
Van der Laan, Mark J., Hubbard, Alan
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MIXTURE MODELS FOR INTERVAL CENSORED OUTCOMES

2022
Silent events such as the first detectable HIV infection, the onset of Type 2 diabetes and prostate cancer progression are often ascertained by diagnostic tests and/or self-reports that are scheduled periodically. In such applications, we only observe the time to the event of interest to lie between the times of last negative and the first positive ...
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Confidence Intervals from Censored Samples, II

Technometrics, 1966
In previous work [1] I have presented an interval estimation procedure applicable to singly censored samples from any univariate population depending only on a scale parameter and location parameter; the procedure applies to several censoring criteria.
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Social determinants of health and US cancer screening interventions: A systematic review

Ca-A Cancer Journal for Clinicians, 2023
Ariella R Korn
exaly  

Regression Models with Interval-Censored Variables

Annual Review of Statistics and Its Application
Survival analysis is essential for modeling time-to-event data across various fields, including medicine, engineering, and the social sciences. A major challenge in this field is handling censored data, particularly partly interval-censored data, where event times are either precisely recorded or only known to fall within a specific interval.
Guadalupe Gómez Melis, Ramon Oller, Klaus Langohr   +2 more
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