Clinical Research Pathway - Suggested Courses
Students may pursue this option in a variety of ways. Students need to register for the "Introduction to Clinical and Translational Research" core course. In addition students may work in a faculty member's laboratory on a specific project or register for other elective courses that pertain to clinical research. The courses and descriptions are listed below.
Students are allowed to do research projects with any faculty member at the University of Kentucky. However, research projects should be discussed with the Clinical Research Pathway Coordinator.
Core course
PHR 790 - 009 Introduction to Clinical and Translationakl Research. (3)
This course is designed to provide an overview of the drug development process, regulatory and
ethical considerations for clinical and translational research involving human subjects and tissues,
the fundamental research skills necessary for conducting a clinical trial, and the current
challenges facing the clinical research enterprise.
Elective courses
PHR 895 Independent Problems in Clinical Pharmacy. (1-3)
Students participating in the course will work with a faculty member on a clinical research project
by participating in the design and conduct of clinical projects for one or two semesters.
Approximately three to four hours of work per week would be required for each hour of course
credit. Prereq: Consent of instructor.
STA 570 Basic Statistical Analysis. (4)
Primarily in biological, behavioral and social sciences. Introduction to methods of analyzing data
from experiments and surveys; the role of statistics in research, statistical concepts and models;
probability and distribution functions; estimation; hypothesis testing; regression and correlation;
analysis of single and multiple classification models; analysis of categorical data. Lecture, three
hours; laboratory, two hours. Prereq: MA 109 or equivalent. For graduate students;
undergraduates must have consent of instructor.
STA 616 Design and Analysis of Sample Surveys. (3)
Sampling from finite populations; estimation of sample size; stratification; ratio and regression
estimators; systematic sampling; cluster sampling; multistage sampling (selection of sampling
units with probability proportional to size); double sampling; response errors. Prereq: STA 531 or
consent of instructor.
STA 643 Advanced Experimental Design. (3)
Advanced topics in analyses of incomplete block designs; confounding and change-over designs;
data collected at several places and times; principles of design construction. Prereq: STA 603.