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Full-Text Articles in Physical Sciences and Mathematics
An Adaptive Bayesian Approach To Dose-Response Modeling, Thomas J. Leininger
An Adaptive Bayesian Approach To Dose-Response Modeling, Thomas J. Leininger
Theses and Dissertations
Clinical drug trials are costly and time-consuming. Bayesian methods alleviate the inefficiencies in the testing process while providing user-friendly probabilistic inference and predictions from the sampled posterior distributions, saving resources, time, and money. We propose a dynamic linear model to estimate the mean response at each dose level, borrowing strength across dose levels. Our model permits nonmonotonicity of the dose-response relationship, facilitating precise modeling of a wider array of dose-response relationships (including the possibility of toxicity). In addition, we incorporate an adaptive approach to the design of the clinical trial, which allows for interim decisions and assignment to doses based …
Xprime: A Method Incorporating Expert Prior Information Into Motif Exploration, Rachel Lynn Poulsen
Xprime: A Method Incorporating Expert Prior Information Into Motif Exploration, Rachel Lynn Poulsen
Theses and Dissertations
One of the primary goals of active research in molecular biology is to better understand the process of transcription regulation. An important objective in understanding transcription is identifying transcription factors that directly regulate target genes. Identifying these transcription factors is a key step toward eliminating genetic diseases or disease susceptibilities that are encoded inside deoxyribonucleic acid (DNA). There is much uncertainty and variation associated with transcription factor binding sites, requiring these sites to be represented stochastically. Although typically each transcription factor prefers to bind to a specific DNA word, it can bind to different variations of that DNA word. In …
Measuring Skill Importance In Women's Soccer And Volleyball, Michelle L. Allan
Measuring Skill Importance In Women's Soccer And Volleyball, Michelle L. Allan
Theses and Dissertations
The purpose of this study is to demonstrate how to measure skill importance for two sports: soccer and volleyball. A division I women's soccer team filmed each home game during a competitive season. Every defensive, dribbling, first touch, and passing skill was rated and recorded for each team. It was noted whether each sequence of plays led to a successful shot. A hierarchical Bayesian logistic regression model is implemented to determine how the performance of the skill affects the probability of a successful shot. A division I women's volleyball team rated each skill (serve, pass, set, etc.) and recorded rally …