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 1145 for “"Clinical trials"”.
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Stargardt disease - Toward clinical trials
Contains fulltext : 197556.pdf (Publisher’s version ) (Open Access)
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Responder Identification in Clinical Trials
The thesis gives an overview of the techniques used up to now for responder identification and it proposes a new method for systematic search for responders. The responder identification method consists of the following three steps: 1. Identification of prognostic factors (e.g. via Cox-PH model on …
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Data-driven Analysis of Clinical Trials
The research combines two studies in the field of clinical trials. The first evaluates the amyotrophic lateral sclerosis (ALS) drug AMX0035 using Bayesian decision analysis (BDA), balancing FDA safety standards with patient needs. This method provides a quantitative way to consider both the …
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Investing in Clinical Trials for Older Adults: The Value and Challenges of Older Adult-Specific Clinical Trials
Conducting clinical trials for older adults can address the long-standing issue of the underrepresentation of older adults and the lack of clinical evidence for them. Examining the challenges and the value of such trials could facilitate discussion among trial sponsors on the investment in and the …
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THE EXTERNAL VALIDITY OF RANDOMIZED CLINICAL TRIALS.
THE EXTERNAL VALIDITY OF RANDOMIZED CLINICAL TRIALS.
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Novel methods for early phase clinical trials
Early phase clinical trials are conducted with limited time and patient resources. Despite design restrictions, patient safety must be prioritised and trial conclusions must be accurate; maximising a promising treatment’s chance of success in later largescale, long-term trials. Increasing the …
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Recruitment of Generation Y into clinical trials
<p>Effective recruitment is key to any clinical trial success. Recruitment of Generation Y (18-34 years old) is quite challenging as they seem to be the least willing group to participate in a clinical trial. The purpose of this study was to find methods that are most appropriate for recruiting the …
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Optimizing clinical trials with Open Trial Chain
… 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 intended purpose, raw data is never …
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Optimal allocation of resources to clinical trials
Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, 1996.
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Publication and Registration Bias in Randomized Clinical Trials
… the impact of publication bias in randomized clinical trials (RCTs). The prospective registration of RCTs provides a means to mitigate publication bias by allowing researchers to explore a source of trial information, that may or may not be published. This thesis offers a critical appraisal of …
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PATIENT PERSPECTIVES AND EXPERIENCES IN CANCER CLINICAL TRIALS
… cancer patients’ psychosocial experiences with clinical trials is essential for improving patient-centered care and trial participation. This doctoral research includes four studies exploring these experiences using diverse methodologies. Methods: The first study applied meta-synthesis to 45 …
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Bayesian Adaptive Designs For Early Phase Clinical Trials
… adaptive designs for phase I and phase II clinical trials. It includes three specific topics: <strong>(1)</strong> proposing a novel two-dimensional dose-finding algorithm for biological agents, <strong>(2)</strong> developing Bayesian adaptive screening designs to provide more efficient …
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Bayesian Adaptive Designs for Early Phase Clinical Trials
Delayed toxicity outcomes are common in phase I clinical trials, especially in oncology studies. It causes logistic difficulty, wastes resources, and prolongs the trial duration. We propose the time-to-event 3+3 (T-3+3) design to solve the delayed outcome issue for the 3+3 design. We convert the …
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Improving outcome assessment for clinical trials in stroke
Abstract Clinical trials are at the centre of advances in our understanding of stroke and its optimal treatment. In this thesis the uses and properties of outcome assessment scales for stroke trials are described, with particular attention given to the modified Rankin Scale (mRS). Through …
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Methods of sample size calculation for clinical trials
… of more use to researchers planning randomised clinical trials. The software includes the capacity to assess the power and required sample size for incomplete block crossover trial designs for Normal data. Following on from these the difference between calculated power for published trials and …
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Quantitative modeling for microbial ecology and clinical trials
… to compute statistical powers and to optimize clinical trial designs. Aside from contributing scientific conclusions about each system, these methods will also serve as a conceptual framework for future efforts to address challenges to the interpretation or acquisition of microbial ecology data.
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Statistical Methods For Biomarker Threshold Models in Clinical Trials
In clinical trials, the main objective is to investigate the treatment effects on patients. However, many molecularly targeted drugs or treatments tend to benefit a subset of patients more, identified by a certain biomarker. The cut-point value defining patient subsets is often unknown. For this …
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Preparing, Executing, and Designing Complex Clinical Trials Using Simulations
… in designing, preparing, and executing complex clinical trial designs with the use of simulations. These topics include designing and implementing a multi-site comparative effectiveness Bayesian response adaptive randomized trial; continued work to detail the execution of this study and assess …
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An Adaptive Bayesian Approach to Bernoulli-Response Clinical Trials
Traditional clinical trials have been inefficient in their methods of dose finding and dose allocation. In this paper a four-parameter logistic equation is used to model the outcome of Bernoulli-response clinical trials. A Bayesian adaptive design is used to fit the logistic equation to the …
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