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MCMC procedures combined with imputation are used to implement hierarchical models for interval censored data within a Bayesian framework.
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Hong and his coauthors propose a new class of autoregressive conditional interval (ACI) models for interval-valued time series data.
Threshold Autoregressive Models for Interval-valued Time Series Data, with Y. Sun, A. Han, and S. Wang, Journal of Econometrics 206 (2018), 414--446.
To our knowledge, only the msm R package [ 31] handles general multistate models for interval-censored data (Table 4).
A new rough set model for interval data named grey-rough set is proposed in this paper.
Because theoretically a maximum of 40 Ct can be measured, we used this as the upper limit in the noise model for interval censoring [ Equation (9)].
The selected model was a generalised linear model for interval censored time to event data [ 24] with different strata for first and subsequent episodes but we also fitted the gap-time Cox model used in an earlier study [ 2].
The standard regression model for interval mapping of a QTL uses the probability of line origin at a locus to describe its genetic state (H aley et al. 1994).
The proposed questionnaire could be a good model for interval clinical audits to asses the degree of progress and success of the educational programs to educate not only women, but the whole society.
The strengths of this study are data collected with more sensitive assays and data on reported adherence to cART, the use of statistical models appropriate for interval censored time to event data and the combining of data from first and subsequent suppression episodes (given that it seems appropriate to do so).
Samples (n = 972) were tested by real-time reverse-transcription PCR (RT-rtPCR) and the binary results analyzed using a piecewise exponential survival model for interval-censored, time-to-event data with misclassification.
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