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 12 of 12 for “"Interval censored data."”.
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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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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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Random Effects Selection In Bayesian Accelerated Failure Time Model With Correlated Interval Censored Data
… of the event can be recorded 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 …
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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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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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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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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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Local Likelihood for Interval-censored and Aggregated Point Process Data
… Hastie, 1987; Loader, 1996) in the presence of interval-censored or aggregated data leads to a natural consideration of an EM-type strategy, or rather a local EM algorithm. In the thesis, we consider local EM to analyze the point process data that are either interval-censored or aggregated into …
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Modeling longitudinal data with interval censored anchoring events
… observe, researchers can often ascertain an interval that includes the unobserved anchoring events, i.e., the anchoring events are interval censored. In this research, we proposed a two-stage method to fit commonly used longitudinal models with interval censored anchoring events. In the first …
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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 …
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Multi-state models for the analysis of Wheeze in a birth cohort of Western Cape children
… well as the objectives of the study, methods and data analysis plan are outlined in the study protocol (Part A). A summary of what is currently known about childhood wheezing is presented as part of the literature review (Part B). The aim of the literature review was to identify known risk factors …
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Poisson regression models for interval censored count data.
… dissertation, we develop Bayesian models for interval censored Poisson counts in the presence of zero inflation and missing data. As a motivating example, we consider data arising from a Human Immunodeficiency Virus (HIV) vaccine trial featuring imprecise counts, missing data, and an abundance …