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 17 of 17 for “"Right censored data"”.
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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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Statistical inferences of Rs;k = Pr(Xk-s+1:k > Y ) for general class of exponentiated inverted exponential distribution with progressively type-II censored samples with uniformly distributed random removal
… exponential (GCEIE) progressively type-II right censored data with uniformly random removal random variables, are discussed. We use p-value as a basis for hypothesis testing. There are no exact or approximate inferential procedures for reliability of a multicomponent stress-strength model …
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Confidence bands for survival curves using model assisted cox regression
… bands (SCBs) for survival functions from right censored data. The approach is based on an extension of semiparametric random censorship models (SRCMs) to Cox regression, which produces reliable and more informative SCBs. SRCMs derive their rationale from their ability to utilize parametric …
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A comparison of methods for analysing interval-censored and truncated survival data
This thesis examines three methods for analysing right-censored data: the Cox proportional hazards model (Cox, 1972), the Buckley-James regression model (Buckley and James, 1979) and the accelerated failure time model. These models are extended to incorporate the analysis of interval-censored and …
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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 Predictive Inference for Multiple Comparisons
… NPI for 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 …
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Cumulative Sum Control Charts for Censored Reliability Data
… products until the units fail. Most often, the data are censored according to different censoring schemes, depending on the particulars of the test. On occasion, tests are stopped at a predetermined time and the units that are yet to fail are suspended. In other instances, the data are collected …
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Confidence bands for survival functions under semiparametric random censorship models
… confidence bands for survival functions from right censored data. The approach is model- based, relying on a parametric model for the conditional expectation of the censoring indicator given the observed minimum, and derives its chief strength from easy access to a good-fitting model among a …
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Nuisance Parameter Estimation in Survival Models
… model is the most commonly used method for right-censored data. Unfortunately, the interpretation of the hazard ratio is non-intuitive and it is commonly misinterpreted as a relative risk. This motivates alternative methods with more intuitive interpretations that avoid a reliance on the …
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Failure time analyses for data collected from independent groups of correlated individuals
… of estimating failure time distributions for data collected from independent groups of correlated individuals is developed. This method is appropriate for commonly interval censored data (e.g., when individuals are inspected at regular common intervals) or exact time data, including possibly …
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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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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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Functional regression models in the frame work of reproducing kernel Hilbert space
… ratio test based on easily implementable data-driven estimate is proposed. The quality of the test is measured by the minimal distance between the null and the alternative space that still allows a possible test. The lower bound of the minimax decay rate of this distance is derived, and …
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Objective bayesian variable selection for censored data
… as 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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Nonparametric Survival Analysis under Shape Restrictions
… thesis is to analyse and model time-to- event data, particularly when the survival times of subjects under study are not exactly observed. One of the primary tasks in the analysis of survival data is to study the distribution of the event times of interest. In order to avoid strict assumptions …