Physical Sciences and Mathematics Commons^™

Bayesian Semi-Supervised Keyphrase Extraction And Jackknife Empirical Likelihood For Assessing Heterogeneity In Meta-Analysis, Guanshen Wang

Statistical Science Theses and Dissertations

This dissertation investigates: (1) A Bayesian Semi-supervised Approach to Keyphrase Extraction with Only Positive and Unlabeled Data, (2) Jackknife Empirical Likelihood Confidence Intervals for Assessing Heterogeneity in Meta-analysis of Rare Binary Events.

In the big data era, people are blessed with a huge amount of information. However, the availability of information may also pose great challenges. One big challenge is how to extract useful yet succinct information in an automated fashion. As one of the first few efforts, keyphrase extraction methods summarize an article by identifying a list of keyphrases. Many existing keyphrase extraction methods focus on the unsupervised setting, …

Causal Inference And Prediction On Observational Data With Survival Outcomes, Xiaofei Chen

Statistical Science Theses and Dissertations

Infants with hypoplastic left heart syndrome require an initial Norwood operation, followed some months later by a stage 2 palliation (S2P). The timing of S2P is critical for the operation’s success and the infant’s survival, but the optimal timing, if one exists, is unknown. We attempt to estimate the optimal timing of S2P by analyzing data from the Single Ventricle Reconstruction Trial (SVRT), which randomized patients between two different types of Norwood procedure. In the SVRT, the timing of the S2P was chosen by the medical team; thus with respect to this exposure, the trial constitutes an observational study, and …

Predictors Of Colorectal Cancer Screening Among Maryland Adults, Aged 50–75 Years, Pamela Manwi Asangong

Walden Dissertations and Doctoral Studies

Screening plays an essential role in reducing colorectal cancer (CRC) incidence and mortality rates, yet CRC screening use remains low in Maryland and lower in some age and racial/ethnic groups with limited resources to participate in CRC screening programs. The purpose of this quantitative, cross-sectional study is to investigate whether age group, sex, race/ethnicity, education level, income level, health insurance coverage, and access to health care professional can predict an individual, 50–75 years of age, in Maryland to take action to fully meet the United States Preventive Services Task Force CRC screening test recommendation within the recommended time interval. The …