Clinical and Translational Research (CLTR)
CLTR 5020. Biostatistical Methods in Clinical Research. (3 Credits)
This course introduces the fundamentals of biostatistics and statistical thinking as applied to the biological, medical, and public health sciences. Students develop these skills by learning data analysis techniques that link real-world quantitative problems to statistical methodology. Topics include probability, sampling distributions and the central limit theorem, binomial and normal distributions, analysis of categorical and continuous data, hypothesis testing, bivariate statistical methods, analysis of variance, regression analysis, nonparametric methods, logistic regression, and survival analysis. Students will use SAS® or Minitab to create and manage data sets, generate variables, charts, plots, and tables, perform statistical analyses, and answer exam questions.
CLTR 5099. Independent Study in Clinical and Translational Research. (1-4 Credits)
A reading course for those wishing to pursue special topics in the clinical and translational research under faculty supervision.
May be repeated for a total of 6 credits
CLTR 5357. Principles of Clinical and Translational Research I. (3 Credits)
First core course in research methods, and topics in clinical and translational research. Topics covered include randomized clinical trials, observational prospective studies, case control study design, grant writing, the specific aims page, introduction to meta-analysis, using existing databases, manuscript preparation, implementation science, ethics of human subjects research, translational research, and mechanisms of treatment.
CLTR 5359. Principles of Clinical and Translational Research III. (3 Credits)
Third core course in research methods, biostatistics and topics in clinical and translational research. The methods section includes Instrument Development, Cross Cultural Adaptation of Research Instruments, Genetic Epidemiology, Pharmacoepidemiology, Pharmacogenomics, and Secondary Data Analysis. The biostatistics section includes Handling Missing Data, Analysis of Genetic Epidemiologic Studies, Structural Equation Modeling, and Economic Analyses. The other topics include writing and presenting scientific information.
CLTR 5360. Critical Issues Involving Science Publication: The Scientific Review. (3 Credits)
Provides comprehensive, systematic strategies for summarizing the current state of understanding in a given field. Each student will be required to identify and work with an academic mentor of that given field throughout the course. The purpose of this review course may be to present a coherent argument, or to highlight scientific gaps in the literature. Teaches students to be able to identify the "why" behind a new study, find and analyze other studies that address similar research questions, or studies that address your research question on a different level. Will enable students to learn how to synthesize the current state of knowledge (either clinical or research) of the chosen topic as a first step of becoming a clinical/translational researcher.
CLTR 5407. Clinical and Translational Research Practicum. (1-12 Credits)
Provides practical training in the formulation and conduct of clinical and translational research. Specific aspects covered during the 9-12 total credit hours of the practicum will be: the identification of a specific research question and its specification as one or more aims, review of the relevant literature, and specification of the methods to be employed in the conduct of the study. The student initiates a research project and participates in data management and analysis, culminating in a report of the findings ready for journal submission. These activities will be monitored and mentored by a research advisor who is a member of the Graduate Faculty.
Enrollment Requirements: Open to M.S. students in Clinical and Translational Research.
May be repeated for a total of 12 credits
