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Showing 1 to 11 of 11 for “"right censoring"”.
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Goodness-of-Fit for Length-Biased Survival Data with Right-Censoring
… type of goodness-of-fit test for right-censored length-biased data is proposed and investigated with Weibull, log-normal and log-logistic models. Algorithms detailing how to efficiently generate right-censored length-biased survival data of these parametric forms are given. …
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Comparison of parametric models using right censored data for breast cancer patients
… the side effect of the treatment given. However, right censoring is often arising when studying the time-to-event data. The data are said to be censored when some individuals are still alive at the end of the study or lost to follow up at a certain time. One of the methods to handle the censored …
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The Censored Heterogeneous Negative Binomial Model
<p>Censoring is an issue common to the analysis of survival data. Survival analysis evaluates time to the occurrence of an event for each individual as its outcome measure; those individuals for whom the event does not occur prior to the end of the study are said to have censored event times. …
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Nonparametric Predictive Inference for Multiple Comparisons
… comparison of multiple groups of data including right-censored observations. Different right-censoring schemes discussed are early termination of an experiment, progressive censoring and competing risks. Several selection events of interest are considered including selecting the best group, the …
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Likelihood-based testing and model selection for hazard functions with unknown change-points
… techniques. While we focus on the cases of no censoring, simple right censoring, and censoring generated by staggered-entry; our derivations reveal that our framework should apply to much broader censoring scenarios.
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Modelling gametocytes in the presence of interval-censoring
… observing gametocyte profiles was complex due to censoring. Censoring occurs when an event has not been observed, and hence the event time is only partially known. Censoring occurs for various reasons, which include the following. In some instances, a patient may enter a study with gametocytes …
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Statistical Modeling of Longitudinal Medical Cost Data
… for terminal events such as death, and right censoring due to loss of follow-up. Since the cost of cancer care and survival are correlated, a scientifically meaningful quantity for inference in this context is the mean cost trajectory conditional on survival. Many standard approaches for …
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A Partly Linear Model for Censored Regression Quantiles
… of survival data, typically characterized by right censoring. A method for quantile regression on censored data was developed by Portnoy (2003). The recursively reweighted Censored Regression Quantile (CRQ) estimator of Portnoy (2003), which is essentially a generalization of the Kaplan-Meier …
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Statistical Inferences for Two-Component Semiparametric Location-Scale Mixture Models
… for location-scale mixture when data are right-censored. The first objective focuses on the estimation of the unknown parameters using minimum Hellinger distance, with a particular emphasis on the parametric location-scale mixtures. In this thesis, the Parametric Hellinger Distance …
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Regression Analysis of Censored Data with Applications in Perimetry
… the independence between the true values and the censoring limits the quantile function for the true values can be rewritten as another quantile function of the observed, censored values, where the quantile value itself is a function of the censoring distribution. The quantile value is estimated …
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Bayesian Inference of the Weibull-Pareto Distribution
… can skew being able to better model left or right skewed data. Examples of skewed data include human longevity and actuarial data. In this work a hierarchical Bayesian model was developed using the Weibull-Pareto distribution.</p>