Interval censored
Bayesian analysis and model selection for interval censored survival data
... BAYESIAN ANALYSIS AND MODEL SELECTION FOR INTERVAL-CENSORED SURVIVAL DATA!. by.[r] ...
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Non parametric maximum likelihood estimation of interval censored failure time data subject to misclassification
... for interval censored survival data without misclassification (Betensky et al, 2001; Zhu et al, 2008) and for misclassified data (Espeland et al, ...
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Use of interval-censored survival data as an alternative to Kaplan-Meier survival curves: studies of oral lesion occurrence in liver transplants and cancer recurrence
... account interval-censored survival ...analyzing interval-censored data have been proposed in the ...from interval-censored ...for interval-censored data ...of ...
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Survival Model With Doubly Interval-Censored Data and Time-Dependent Covariates
... doubly interval censored data begins when De Gruttola and Lagakos [9] proposed a non- parametric estimation procedure based on the Turnbulls self-consistency ...doubly interval censored ...an ...
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Analysis of Complex Correlated Interval Censored HIV Data from Population Based Survey
... survey and 15,851 respondents agreed to be tested for HIV. Linked anonymous HIV testing was performed us- ing dried blood spot (DBS) specimens. Socio-demographic and behavioural data were collected using a detailed ...
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Comparison of the Bayesian Methods on Interval Censored Data for Weibull Distribution
... To assess the performance of the maximum likelihood and Bayesian with help of the Lindley’s approximation and Markov Chain Monte Carlo, where the Metropolis-Hastings algorithm used to estimate the scale and shape ...
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A semiparametric Bayesian proportional hazards model for interval censored data with frailty effects
... Another, more general methodology with similar ingredi- ents has been published by Hennerfeind, Brezger and Fahrmeir [17]. In their work, Hennerfeind et al. do not consider explicitly interval censoring, however ...
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Onset of persistent pseudomonas aeruginosa infection in children with cystic fibrosis with interval censored data
... the interval varies from days to months or ...right censored data need to be adapted to account for the interval censoring scheme ...for interval censored data is ...
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Simple parametric survival analysis with anonymized register data: A cohort study with truncated and interval censored event and censoring times
... were interval censored in the CRN data, multiple impu- tation was only done with respect to censoring events in the estimation ...for interval censored ...
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A parametric model for doubly interval censored lifetime data
... Doubly interval censored data is defined as elapsed time between two related events that is subject to interval or right ...doubly interval-, interval-, right censored and ...
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Comparing survival functions with interval-censored data in the presence of an intermediate clinical event
... is interval-censored, the situation is more com- plicated. Interval-censored data are data for which the exact failure times are not known but are known to have occurred between certain time ...
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Additive-multiplicative hazards regression models for interval-censored semi-competing risks data with missing intermediate events
... an interval of the form (L, R], where L is the last time a subject visited without possessing a disease and R is the first time that the subject was diagnosed with a dis- ...the interval ( L, ...the ...
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Ou_unc_0153D_15576.pdf
... of interval-censored data is called “current status data" or “Class I" interval-censored ...on interval-censored ...general interval-censored data, methods ...
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Principal Longevity, Leadership Behaviors, and Student Academic Achievement
... Therefore, we still consider the PH model due to its good properties and straight- forward interpretation based on hazard ratios in the interval censored data. However, the partial likelihood does not work ...
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PubMedCentral-PMC5608290.pdf
... asymptotically normal and efficient. Zhang et al. (2010) also provided a motivation of the sieve method, reasoning about the choice of basis functions, a theoretical framework and rigorous proofs based on empirical ...
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nihms844847.pdf
... The computation of the NPMLE with interval-censored competing risks data also poses new challenges. The iterative convex minorant (ICM) algorithm (Huang and Wellner, 1997; Groeneboom and Jongbloed, 2014) is ...
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Hyun_unc_0153D_14679.pdf
... In many medical studies, interest focuses on studying the effects of potential risk factors on some disease events, where the occurrence time of disease events is often de- fined in terms of the behavior of a biomarker. ...
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Parametric dynamic survival models
... In Chapter 6, the methods are applied to some real data applications: including a set of breast cancer survival times, generating an interval censored data set Finkelstein, 1986; a group[r] ...
263
Modeling of Sic Power Semiconductor Devices For Switching Converter Applications
... our interval-censored regression method, based on the Poisson, GP, and NB models, the heaped versions are more efficient than the regular versions based on the significant results from the Hausman ...our ...
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Non-Destructive Determination of Magnetic Audio Tape Degradation for Various Tape Chemistries Using Spectroscopy and Chemometrics
... 1982]. Interval censored data can be analyzed under the Cox PH model by using ICsurv package in R [Wang et ...with interval censoring [Zhou et ...
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