18 results with keyword: 'the nonparametric analysis interval censored failure time data'
The third type is doubly censored data (Sun, 1995), which occur under the situation that the objective of a clinical trial involves two related events. Then each individual has
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One exception is given by Sun (1999), who considered survival comparison based on case I interval-censored data when the distributions of observation times differ among
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The remainder of this chapter is organized as follows. In Section 3.2, we will describe the structure of observed data and some assumptions. A two-stage inference procedure for
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Huang (1996) developed the maximum likelihood approach for fitting the proportional hazards model to current status data and an ICM-type algorithm for estimation of unknown
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In this paper, we proposed a new method for analyzing current status data and more gen- erally, interval censored data, using the accelerated failure time model. The new
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The study analyzes the documents based on various bibliometric aspects like year wise contribution of articles, year wise growth of publication, average publication per
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In the first project, we consider efficient semiparametric estimation of the accelerated failure time (AFT) model with partly interval-censored (PIC) data, which arise when the event
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(2008) developed the marginal model approach for multivariate interval-censored failure time data using the proportional odds model and the additive hazards model, respectively..
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Tangerine fixed rate mortgages have some of holding most competitive interest rates available But outdoor you comfortable getting a mortgage were an.. Covid-19 Tangerine Bank
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Interval-censored competing risks data arise when each study subject may experience an event or failure from one of several causes and the failure time is not observed directly
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Fully non-parametric estimation of the failure time distribution F ( t ) has been considered in the case of current status (or Type I interval censored) survival data subject
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In this article, we study efficient nonparametric maximum likelihood estimation of joint models for interval-censored data with informative dropout.. We establish the asymptotic
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(1998), ‘A nonparametric estimator of survival functions for arbitrarily truncated and censored data’, Lifetime Data Analysis 4 , 187–202.
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interval-censored failure time data from an outcome-dependent sampling (ODS) design and from a case-cohort design.. Zhou, Q., Cai, J., and
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The panel was tested by the VQA and University of North Carolina at Chapel Hill (UNC) laboratories using the RT assays (Cavidi v1.0 and v2.0), the Ultrasensitive p24 kit
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Fault detection refers to the capability of estimating the time and location of a network failure. This also implies the ability to predict in advance whether or not a fault will
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