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 10 of 10 for “"response adaptive"”.
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Response Adaptive Design using Auxiliary and Primary Outcomes
Response adaptive designs intend to allocate more patients to better treatments without undermining the validity and the integrity of the trial. The immediacy of the primary response (e.g. deaths, remission) determines the efficiency of the response adaptive design, which often requires outcomes to …
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Essays on pricing and learning in Bertrand markets.
… of four chapters. Chapter 1 develops a quantal response adaptive learning model which combines sellers’ bounded rationality with adaptive belief learning in order to explain price dispersion and dynamics in laboratory Bertrand markets with perfect information. In the model, sellers hold beliefs …
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Preparing, Executing, and Designing Complex Clinical Trials Using Simulations
… a multi-site comparative effectiveness Bayesian response adaptive randomized trial; continued work to detail the execution of this study and assess if any treatment outcome drift should have been accounted for; and lastly, using data-driven simulations to compare a proposed statistical model with …
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Further Advances For The Sequential Multiple Assignment Randomized Trial (Smart)
… have been developed these years for studying adaptive interventions. In my Ph.D. study, I mainly investigate how to further improve SMART designs and optimize the interventions for each individual in the trial. My dissertation has focused on two topics of SMART designs.</p> <p>1) Developing a …
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L1 adaptive control for nonlinear and non-square multivariable systems
This research presents development of L1 adaptive output-feedback control theory for a class of uncertain, nonlinear, and non-square multivariable systems. The objective is to extend the L1 adaptive control framework to cover a wide class of underactuated systems with uniform performance and …
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Addressing the Analytical and Computational Challenges Using Machine Learning in Biomedical Research
… data stemming from laboratory experiments. As a response to this deluge of data, the application of machine learning (ML) techniques is gaining popularity since ML techniques have demonstrated an exceptional proficiency in processing big data and deciphering complex nonlinear patterns that are …
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A Signature Enrichment Design With Bayesian Adaptive Randomization For Cancer Clinical Trials
… more flexible and efficient trial designs. Adaptive clinical trial designs allow pre-specified modifications of an on-going clinical trial and could shorten the trial duration. We reviewed five common types of adaptive clinical trials based on adaptation methods. In particular, …
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Bayesian Adaptive Designs for Early Phase Clinical Trials
… of patients with the same disease. A Bayesian adaptive umbrella trial design is proposed to select effective targeted agents for different biomarker-based subgroups of patients. To facilitate treatment evaluation, the design uses a mixture regression model that jointly models short-term and …
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Efficient narrow-band speech transmission over land mobile channels.
… acoustic noise in cars. Accordingly, an adaptive noise reduction system is porposed, using a transversal finite impulse response adaptive filter and the stochastic gradient adaptation algorithm; a 10noise reduction is achieved.In the third part, a novel concept, the switched tone (), is …
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Decision making in clinical development
L'abstract è presente nell'allegato / the abstract is in the attachment