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  • On the Use of Baseline Values in Randomized Clinical Trials

    Creator:
    Castillo Roldan, Alejandra M.
    Abstract:
    In many scientific settings, investigators are interested in the effect of a new treatment. To have a point of comparison data is collected from patients before treatment groups are assigned. When seeking to test the presence of a significant treatment effect it may be unclear how baseline measurements should be...
    Resource Type:
    Masters Thesis
    Full Text:
    Baseline Values in Randomized Clinical Trials Abstract approved: Sarah C. Emerson In many scientific

  • Active Learning from Examples, Queries and Explanations

    Creator:
    Hamidi-Haines, Mandana
    Abstract:
    Humans are remarkably efficient in learning by interacting with other people and observing their behavior. Children learn by watching their parents’ actions and mimic their behavior. When they are not sure about their parents demonstration, they communicate with them, ask questions, and learn from their feedback. On the other hand,...
    Resource Type:
    Dissertation
    Full Text:
    minor advisor Professor Sarah Emerson from the Statistics Department at OSU. The knowledge I gained from

  • An Agent-based Dynamic Network Model

    Creator:
    Yu, Jingtian
    Abstract:
    Agent-based models (ABM) are widely used in network data analysis, and due to their simple structures and sophisticated outcomes, they serve as good tools in understanding the dynamics in networks. In this thesis, we develop an agent-based dynamic network model, and show that it can replicate the expected degree distribution...
    Resource Type:
    Masters Thesis
    Full Text:
    Network Model Abstract approved: Sharmodeep Bhattacharyya, Sarah Emerson Agent-based models (ABM) are

  • Localized Variable Selection with Random Forest

    Creator:
    Niyaghi, Faraz
    Abstract:
    Due to recent advances in computer technology, the cost of collecting and storing data has dropped drastically. This makes it feasible to collect large amounts of information for each data point. This increasing trend in feature dimensionality justifies the need for research on variable selection. Random forest (RF) has demonstrated...
    Resource Type:
    Dissertation
    Full Text:
    _________________________ Sarah C. Emerson Sharmodeep Bhattacharyya Due

  • Estimation and Sparse Selection of Conditional Probability Models for Vector Time Series

    Creator:
    Ruiz, Trevor D.
    Abstract:
    Diverse scientific fields collect multiple time series data to investigate the dynamical behavior of complex systems: atmospheric and climate science, geophysics, neuroscience, epidemiology, ecology, and environmental science. Identifying patterns of mutual dependence among such data generates valuable knowledge that can be applied either for inferential or forecasting purposes. Vector autoregressive...
    Resource Type:
    Dissertation
    Full Text:
    : Sharmodeep Bhattacharyya Sarah C. Emerson Diverse scientific fields collect multiple time series data to

  • Construction of Anomaly Scores and Probabilities using Random Sampling : A New Score, Efficient Computation, and Threshold Selection.

    Creator:
    Zongo, Kalbi F.
    Abstract:
    Anomaly detection is the task of identifying observations (points) that differ from the majority of other points, which requires some measure of difference, or distance. Many anomaly detection methods rely on “implicit distance” measures: rather than directly calculating an explicitly defined distance, these approaches quantify a point’s “abnormality” by examining...
    Resource Type:
    Dissertation
    Full Text:
    Selection Abstract approved: Charlotte Wickham Sarah C. Emerson Anomaly detection is the task of

  • Do Community Driven Development (CDD) Programs Improve Social Relationships measured by Perceived Discrimination among Different Ethnicities in Nepal?

    Creator:
    Dhakal, Gunjan
    Abstract:
    Community driven development (CDD) is one of the recent approaches in the development arena that integrates people into mainstream development. Bringing people together into the development prospects through social capital is an important aspect of this approach that harnesses greater social inclusion and wider participation at the grass root level....
    Resource Type:
    Capstone Project
    Full Text:
    presented on May 9, 2011 APPROVED: Patrick Emerson, representing Economics

  • Entrepreneurial policy in South Eastern Europe : the role of culture, economics and regulation in augmenting MSME development

    Creator:
    Braybrooks, Melissa
    Abstract:
    MSME development has emerged at the forefront of economic policy, with the majority of policy mechanisms aimed at creating the regulatory and institutional environments, which have historically proven to augment entrepreneurial activity. In the case of Europe a large portion of entrepreneurial policy resides within the European Community framework, however...
    Resource Type:
    Capstone Project
    Full Text:
    appreciation to her graduate committee members Sarah Henderson, Patrick Emerson, and Roger Hammer, in

  • Hungary's Declining Democracy : A Study of Organizational Power in Hungarian Politics

    Creator:
    Sandoval, Jonathan
    Abstract:
    Scholars posit that the successful consolidation of post-communist Central and Eastern European democracies can be linked to their subsequent accession to the European Union (EU). This led observers to assume that the continued democratization of Hungarian society was assured due to their integration into EU institutions. However, since the 2010...
    Resource Type:
    Capstone Project
    Full Text:
    Sandoval presented on Jun 14th, 2018 APPROVED: Sarah Henderson, representing

  • An Evaluation of Design and Inference in Special Topics of Group Sequential Procedures

    Creator:
    Skalland, Timothy Michael
    Abstract:
    Randomized trials are the gold standard for the clinical assessment of a new treatment compared to a placebo or standard of care. Often in clinical trials, patients are accrued sequentially rather than all at once. Thus, the data from such a trial becomes available sequentially to the researcher. Monitoring and...
    Resource Type:
    Dissertation
    Full Text:
    : Sarah C. Emerson Randomized trials are the gold standard for the clinical assessment of a new treat