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.
Results
Showing 1 to 20 of 27 for “"Clinical trial data"”.
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Aligning synthetic clinical trial data with human-preferred clinical endpoints
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2026-12-01
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Statistical model selection techniques for the cox proportional hazards model: a comparative study
The advancement in data acquiring technology continues to see survival data sets with many covariates. This has posed a new challenge for researchers in identifying important covariates for inference and prediction for a time-to-event response variable. In this dissertation, common Cox proportional …
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Recent Advances on Statistical Network Analysis and Multi-task Learning for Complex Data
Real-world data are increasingly complex, arising from diverse domains that demand sophisticated analytical approaches. This dissertation focuses on developing advanced statistical methods to address the challenges in analyzing social network data and clinical trial data. First, I propose a novel …
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Modeling correlations in clinical trial outcomes using machine learning
… the problem of characterizing the covariance of clinical trial outcomes using drug and trial features. The binary nature of FDA approvals makes drug development risky, but approaches in finance theory could better manage that risk, allowing more high potential drugs to be developed. To apply …
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L1-Adaptive Control for Anesthesia Delivery
… identification-based models constructed using clinical trial data. Two different L1-adaptive control schemes, a state-feedback scheme and an output-feedback scheme, will be evaluated and compared in terms of tracking performance, amount of anesthesia used, and robustness to interpatient …
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From Oncogenesis to Immunotherapy: Mathematical Modeling of Heterogeneous Cancers
… lymphoma, Richter’s Syndrome (RS), we analyze data from a recent mouse model and utilize a Bayesian modeling approach to show that growth patterns present in human disease are recapitulated in murine CLL/RS. Next, we use a stochastic branching process model to simulate the acquisition of …
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Comparison of Apixaban and left atrial appendage exclusion device (Watchman) in preventing stroke and systemic embolism in atrial fibrillation patients
<p>Atrial fibrillation is a cardiac arrhythmia associated with increased risk of stroke and systemic embolism. Apixaban, an oral anticoagulant, and the Watchman, a left atrial appendage closure device, are the currently used therapeutic treatments for the prevention of stroke and systemic embolism …
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From bench to bedside : impact of conflict-of-interest restrictions at academic medical centers on clinical trials
… this relationship is better characterized with clinical trial data. The findings suggest that there is a strong trend towards schools with higher conflict-of-interest rules having fewer clinical trials. This suggests that although there may be benefits to stricter regulation, there are …
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Machine-learning models for predicting drug approvals and clinical-phase transitions
… and phase transitions using drug-development and clinical-trial data from 2003 to 2015 involving several thousand drug-indication pairs with over 140 features across 15 disease groups. Imputation methods are used to deal with missing data, allowing us to fully exploit the entire dataset, the …
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Estimation of clinical trial success rates and related parameters
… small samples of pharmaceutical industry-curated databases, which are subject to potential sample selection biases. Using a sample of 185,994 unique entries of clinical-trial data for over 21,143 compounds from January 1st, 2000 to October 31st, 2015, we estimate aggregate success rates and …
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Policy analysis of foreign trials needed for FDA-approved INDs for devices and drugs from 2016 to 2020
… are many paths a product can follow during preclinical testing to bringing it to the market, the need for multinational data is more necessary for drugs in comparison to medical devices. Since drugs do not always need additional data, there is a need to investigate why medical devices are more …
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The Characterization of T-Cell Manufacturing For Adoptive T-Cell Therapies
… I performed a meta-analysis of available clinical trial data to show that younger patients appear to respond better to T-cell manufacturing involving CD28 costimulation, while older patients appear to respond better to T-cell manufacturing lacking CD28 costimulation.</p>
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Drug deposition and distribution in healthy and atherosclerotic arteries and in models of atherosclerosis following bulk or stent-based drug delivery
… Yet, more than four years after introduction clinical trial data and clinical use have still not fully clarified what drives the safety and efficacy of these devices. The goal of this thesis was to help fill this void by describing the mechanisms by which stent-eluted drugs are distributed …
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Mathematical Models of Immune Responses to Infectious Diseases
… following antibody therapy. We fit the models to clinical trial data and conclude that antibody binding is delayed and that the combined effects of initial CD4 T cell count, initial HIV levels, and virus production are strong indicators of a good response to antibody immunotherapy.
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Optimizing clinical trials with Open Trial Chain
… of this thesis is to study the challenges of data sharing in healthcare (namely clinical trials), and propose the use of Open Algorithms (OPAL) as a viable solution for research collaboration that allows for access to data without compromising data ownership (data is only used once for the …
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Evaluating the impact of critical product quality attributes on patient outcomes in biologics
… medicines with patient outcomes as evidenced by clinical trial data. This project adopts a novel methodology of applying statistical and machine learning models on a dataset combining data on clinical outcomes, patient population characteristics, and product attributes. Understanding the …
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Developing a vector for expressing serratiopeptidase in Lactococcus lactis
… analgesic activity in laboratory studies and pre-clinical trials. Clinical trial data is less convincing, likely because the enzyme delivered is not bioavailable to the body after it passes through the stomach. To circumvent this issue, we proposed developing a plasmid vector that, when …
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Predicting Patient Outcomes in the EPOCH Clinical Trial
… (TARE) can improve patient outcomes. The EPOCHclinical trial demonstrated that TARE improved hepatic progressionfree survival (hPFS) in patients with colorectal liver metastases, and computational methods to analyze the multimodal data collected can identify patient subgroups and predict …
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Clinical Practice in Prenatal Care: Perspectives of Latina Mothers, Healthcare Providers, and Scientists on Male Circumcision
… knowledge relied exclusively on the results of clinical trial data, and how this data could inform policy and clinical guidelines. This dissertation contributes to understanding how services impact MC decision-making and increase the pool of data in regards to the feasibility of overarching MC …
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A restriction method for the analysis of discrete longitudinal missing data.
Clinical trial endpoints are traditionally either physical or laboratory responses. However, such endpoints fail to reflect how patients feel or function in their daily activities. Missing data is inevitable in most every clinical trial regardless of the amount of effort and pre-planning that …
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