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 27 for “"Survival function"”.
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Inference for the survival function of the linearly decreasing stress Weibull
The survival function is defined as the probability that a person or an object will survive beyond a specified time point. It is used in many applications including human mortality. It is also known as the survivor function or reliability function. The Weibull distribution has long drawn the …
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Nuisance Parameter Estimation in Survival Models
… However, both alternatives require a conditional survival function as a nuisance parameter. This thesis focuses on the impact of the conditional survival function on the estimation of censored quantile regression and restricted means. In particular, we illustrate that a non-parametric estimator of …
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Confidence bands for survival functions under semiparametric random censorship models
… are usually displayed. When the parameter is a survival function, however, the approach of joining the upper end points of individual interval estimates obtained at several points and likewise for the lower end points would not produce bands that include the entire survival curve with a given …
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On Logistic Regression Approach to Survival Data and Power Divergence Statistics for Life Tables
… techniques to estimate hazard rates and survival curves from survival data. These techniques allow statisticians to use parametric regression modeling on survival data in a flexible way that provides both estimates and standard errors. In the first part of this thesis, large sample …
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Percolation On Galton-Watson Trees
… In the former case, we show that the quenched survival function is smooth on the supercritical window and smooth from the right at criticality. We also study critical percolation conditioned to reach depth $n$, and construct the incipient infinite cluster by taking $n \to \infty$; quenched …
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Using survival analysis to investigate breast cancer in the Kurdistan region of Iraq
The objective of this thesis is to carry out a survival analysis for patients with breast cancer. Using data from the Nanakaly and Hewa hospitals in the cities of Erbil and Suleimaniah, respectively, cases where there is hidden censoring on survival time were investigated. The aim of this study was …
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The joint distribution of the maximum and duration of stochastic events driven by Pareto II observations
… derivations of the joint probability density function, cumulative distribution function, conditional and marginal distributions, conditional survival function, moment-generating function, Laplace transforms, and covariance matrix. We also address the problem of parameter estimation using the …
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Goodness-of-Fit for Length-Biased Survival Data with Right-Censoring
… subjects with a disease. When estimating the survival function from onset of disease, this sampling mechanism introduces bias, which must be accounted for. If the onset times of the disease are assumed to be coming from a stationary Poisson process, this bias, which is caused by the sampling …
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Optimization Models Addressing Emergency Management Decisions During a Mass Casualty Incident Response
… interconnected decisions, (2) further refining a survival function to measure expected survivors, (3) defining novel objective functions that consider competing priorities, including maximizing survivors and balancing equity, and finally (4) developing a MCI response simulation that provides …
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Statistical Modeling to Information Retrieval for Searching from Big Text Data and Higher Order Inference for Reliability
… performance. Second, we utilize the property of survival function to propose a cost-based re-ranking method to promote ranking diversity for biomedical information retrieval, and to model the proximity between query terms to improve retrieval performance. Through extensive experiments on standard …
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Analysis of clustered competing risks with application to a multicentre clinical trial
The usefulness of time-to-event (survival) analysis has made it gain a wide applicability in statistically modelling research. The methodological developments of time-to-event analysis that have been widely adopted are: (i) The Kaplan-Meier method, for estimating the survival function; (ii) The …
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Parametric survival models with interval censored data in determining prognostic factors of patients of lung cancer
… 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 of censored data. The survival time of parametric distribution of Weibull, exponential and log-logistic were derived by …
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The Role of FOXO3 in Mechanisms of Doxorubicin Resistance in Hepatocellular Carcinoma
… to TACE-doxorubicin are unknown. FOXO3 is a multifunctional transcription factor that plays a role in determining cell fate in response to stress. It frequently functions as a tumor suppressor but can also promote tumor pathogenesis. FOXO3 is also known to be a mediator of doxorubicin sensitivity …
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Statistical methods for genetics and genomics studies
… for fully observed data or the baseline survival function for censored data is modeled as a mixture of Polya trees centered around a family of parametric distributions. We also propose multivariate Bayesian statistical models with a Gaussian conditional autoregressive (CAR) framework for …
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Probabilistic Time-to-Event Modeling Approaches for Risk Profiling
… practice. Time-to-event analysis, also called survival analysis, stands as one of the most representative examples of such statistical models. Models for predicting the time of a future event are crucial for risk assessment, across a diverse range of applications, i.e., drug development, risk …
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BAD and Mcl-1 Regulation in Prostate Cancer
… of BAD as the convergence point for several survival signaling pathways including the PKA, EGF, and PI3K/Akt pathways in prostate cancer cells. Upon phosphorylation of these residues, BAD becomes unable to bind to and inactivate the anti-apoptotic Bcl-2 subfamily, including Bcl-2 and Bcl-xL, …
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Novel Therapeutic Targets Identified By High-Throughput Technologies For Triple-Negative Breast Cancer
… indicate that LRP8-APOE signaling confers survival advantages to TNBC tumors under reduced nutrient conditions and during cellular environmental stress.</p> <p>We revealed that the LRP8-APOE receptor-ligand system is overexpressed in human TNBC. We also demonstrated that this receptor …
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Non-parametric competing risks with multivariate frailty models
… form expression of the unconditional hazard function. However, it is unrealistic to believe that a few parametric models are suitable for all types of failure time. This research focuses on a distribution free of the multivariate frailty models. Another approach used to overcome this problem …
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A spatial temporal analysis of survival among TB and HIV co-infected patients in Erongo region, Namibia
… the study used the Kaplan Meier to estimate the survival function. Cox PH model was used to model survival and identify risk factors among TB and HIV co-infected patients. Global Moran’s I and LISA statistics were used to help analyse the spatial distribution and clusters of the disease across …
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Models of stand basal area distributions, individual tree basal area growth, and height-diameter relationships for loblolly pine
… from k and stand variables. Finally, an existing survival function was modified. The overall model was implemented as follows: first, the number of surviving stems was predicted. Then k and m values were predicted for each predicted stem. Substitution of these two values into the C-R curve yielded …
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