Time Schedule:
Adrian Dobra
NMETH 590
Seattle Campus
Examination of a specific research method, with evaluation of appropriateness, efficiency, rigor of measurement, and potential for inference for nursing research. Prerequisite: minimum of 5 credits of basic nursing research methodology at graduate level and permission of instructor.
Class description
This course surveys Bayesian methods for health sciences. It introduces the Bayesian paradigm for data analysis and contrasts it with frequentist inference approaches. The choice of prior distributions is discussed in depth as well as dedicated computing techniques. Randomized controlled trials, observational studies and meta-analysis are also covered. Examples are drawn from biomedical literature.
Student learning goals
General method of instruction
Recommended preparation
Class assignments and grading
