LEXINGTON, Ky. (March 30, 2021) — When Quentin Tyler was a student in the University of Kentucky College of Agriculture, Food and Environment, he often found himself in Professor Lionel Williamson’s office.
This course introduces the use of management accounting techniques for decision making in healthcare organizations. Lectures, problems and cases will be used to focus on various types of healthcare organizations.
By Jenny Wells-Hosley and Alicia Gregory
LEXINGTON, Ky. (April 7, 2021) — As a Research I institution, the University of Kentucky offers its students opportunities to engage in research across all disciplines — and those opportunities aren’t just reserved for graduate and doctoral students.
Basic concepts of natural wetland ecosystems, their importance, functions, and major features used for their identification and classification. Application of basic hydrology, hydrophytic vegetation and hydric soil indicators for identification of jurisdictional wetlands utilizing documentation and analysis of field collected data. Three laboratory exercises and four short field trips required.
Basic concepts of natural wetland ecosystems, their importance, functions, and major features used for their identification and classification. Application of basic hydrology, hydrophytic vegetation and hydric soil indicators for identification of jurisdictional wetlands utilizing documentation and analysis of field collected data. Three laboratory exercises and four short field trips required.
Course will cover risks and rates, types of spatial data, visualizing spatial data, analysis of spatial point patterns, spatial clustering of health events based on case control studies, and based on regional counts, linking spatial exposure data to health events through regression modeling, Bayesian spatial analysis.
This course surveys methods for analyzing data with missing observations. This includes methods for data missing completely at random including hot deck cold deck, mean substitution, and single imputation; methods for data missing at random including multiple imputation and weighted estimating equations and methods for data missing not at random including pattern mixture models, selection models, and shared random effects models.
