Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 69 for “"Censored data"”.
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Quantile Regression With Censored Data
Keywords. Survival Analysis; Quantile Regression; Kaplan-Meier; the Cox Proportional Hazards Model; Accelerated Failure Time Model.
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Quantile autoregression with censored data
… time series. It is particularly attractive for censored data, where the classical autoregressive models are unidentifiable without further parametric assumptions on the distributions. There have been prominent works by Powell (1986), Portnoy (2003) and Peng and Huang (2008) on estimating the …
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Objective bayesian variable selection for censored data
… Weibull or lognormal) and observations are right censored. Under a Bayesian approach, the most widely used tools are the Bayes Factors (BFs) which are, however, undefined when using improper priors. Some commonly used tools in literature, which solve the problem of indeterminacy in model …
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Bivariate Log Location-Scale Model For Interval-Censored Data
Censored data is very common in survival analyses and experimental observations. In this thesis, I consider a selected bivariate model concerning censored data. I rst review three basic univariate models, leading to corresponding bivariate models, in more complicated forms. Also I will discuss the …
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Regression Analysis of Censored Data with Applications in Perimetry
… the dependent or the independent variable is censored. We deal with quantile regression when the dependent variable is censored. Using 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 …
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Order Theory and Nonparametric Analysis for Interval Censored Data
Interval censored data arises when individuals can be subjected to periodic inspection at random moments, and their status (e.g. failed or functioning) is ascertained at each inspection. We exploit the order theoretic properties of interval orders to develop a new language describing interval …
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Inference and Estimation in Change Point Models for Censored Data
… variety of fields and can also apply to survival data. With improvements to medical diagnoses and treatments, incidences and mortality rates have changed. However, the most commonly used analysis methods do not account for such distributional changes. In survival analysis, change point problems …
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Comparison of parametric models using right censored data for breast cancer patients
In medical research, time-to-event data commonly happen as it reflects the time until an individual has an event of interest. The event of interest can be the occurence of disease, death or the side effect of the treatment given. However, right censoring is often arising when studying the …
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Semiparametric estimation with clustered right censored data via multivariate gaussian random fields
… as pandemic, epidemic, migration to name a few. Data collected on units at all areas include time varying covariates and other environmental factors that may affect event occurrences. The event times in every area can be independent. They can also be correlated with correlation between two units …
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Random Effects Selection In Bayesian Accelerated Failure Time Model With Correlated Interval Censored Data
… at regular intervals leading to interval censored data. It is further desirable to obtain the most parsimonious model in order to increase predictive power and to obtain ease of interpretation. Variable selection and often random effect selection in case of clustered data becomes crucial …
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Parametric survival models with interval censored data in determining prognostic factors of patients of lung cancer
… follow-ups, it is predominently to have censored data. The censored data can be either left, right or interval censored where it reflects on the uncertainty of survival time until an event occur. Survival analysis can accommodates both fixed and time varying covariates with the presence …
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On estimating the reliability in a multicomponent system based on progressively-censored data from Chen distribution
… system, based on progressively type-II right-censored samples with random removals when stress and strength are two independent Chen random variables. Under squared-error and LINEX loss functions, Bayes estimates are developed by using Lindley’s approximation and Markov Chain Monte Carlo …
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Inferences on the shape parameter of the gamma distribution and Cramer-Rao lower bounds from censored data
… the shape parameter of a gamma distribution from censored sampling. Moments for the statistic T = log(x̅<sub>r</sub>/x͠<sub>r</sub>) are found and used to derive a two-moment chi-square approximation for T. This approximation is then used for testing, estimating, and setting confidence bounds on …
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EVALUATION, DEVELOPMENT, AND EXTENSION OF FLEXIBLE PARAMETRIC MODELS FOR THE DISTRIBUTIONAL ANALYSIS OF CENSORED AND NON-CENSORED DATA: A FRAMEWORK FOR MODELING AND COMMUNICATING THE FULL DISTRIBUTION OF HEALTH OUTCOMES.
… and to assess their performance under complex data-generating mechanisms (non-proportional hazards, time-varying effects). • Model Selection: A novel statistical learning workflow is proposed, integrating bootstrap perturbation and time-dependent predictive metrics (e.g., Net Reclassification …
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Application Of The Empirical Likelihood Method In Proportional Hazards Model
… or reliability studies. In analyzing real data sets, checking the validity of the model assumptions is a key component. However, the presence of complicated types of censoring such as double censoring and partly interval-censoring in survival data makes model assessment difficult, and the …
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Nonparametric and semiparametric methods for interval-censored failure time data
Interval-censored failure time data commonly arise in follow-up studies such as clinical trials and epidemiology studies. By interval-censored data, we mean that the failure time of interest is not completely observed. Instead, we only know that it belongs to a certain interval. For the analysis of …
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Unified Ordinal Regression: Model Assessment and Semiparametric Analysis
… the thesis we discuss the methods for handling censored data for both categorical and continuous responses. We develop EM algorithms for censored data in general, and also develop a weighted least squares algorithm for cumulative link models for ordinal responses.
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Advancements in Degradation Modeling, Uncertainty Quantification and Spatial Variable Selection
… accelerated destructive degradation test (ADDT) data; and 3) spatial variable selection and application to Lyme disease data in Virginia. Followed by the general introduction in Chapter 1, the rest of the dissertation consists of three main chapters. Chapter 2 presents the construction of …
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