Graduate Course Descriptions
||Principles of Biostatistics*
||Legal and Regulatory Issues in Clinical Research*
||Ethical Issues in Clinical Research
||Statistical Methods in Epidemiology
||Clinical Trials and Experimental Epidemiology
Two post-graduate courses in biostatistics or epidemiology are required.
Classes indicated by an asterisk (*) are recommended.
NOTE: This list is representative. The complete catalogue of UMB graduate level courses in biostatistics or epidemiology is available to the fellows. Others may be substituted depending on previous training.
Description of Courses
- PREV 621 Biostatistical Methods*: This course is designed to introduce the students to a broad range of methods commonly used in biomedical and public health research, and to provide some hands-on data analysis experience. Topics to be covered include the role of statistics in science, properties of distributions, exploratory data analysis, inference about means, proportions and survival distributions, and introduction to multivariable methods.
NOTE: PH 621/ PREV 621 does not satisfy the biostatistical requirements for MS or PhD students in Epidemiology, but is an appropriate course for other graduate degree programs.
- PREV 633 Legal And Regulatory Issues In Clinical Research*: The course will be co-taught by faculty from the School of Medicine and the School of Nursing. The course is required for the Master of Science in Clinical Research in the School of Medicine and the Master of Science in Clinical Research Management in the School of Nursing. This mixture of students will promote the multidisciplinary interactions integral to successful clinical research.
Prerequisites: Health professional degree and clinical research experience.
- PREV 619 Biostatistical Computing: Provides the student with comprehensive experience in the application of epidemiological and biostatistical methods available in the Statistical Analysis System (SAS). Hands-on experience in weekly workshops is gained by conducting analyses of existing data designed to answer a research question.
Prerequisites: PREV 620 (Principles of Biostatistics), or Instructor's permission and knowledge of basic principles of epidemiology.
- PREV 637 Ethical Issues in Clinical Research: This course begins with the birth of contemporary bioethics in famous research scandals and ends with some current problems on the cutting edge of scientific research ethics. In between, we shall examine the regulatory structure designed to curb the abuse of patient/subjects; specifically, this will consist of the role and functions of institutional review boards (IRBs). The approach will be primarily philosophical but with attention to history and regulation. Many of the great cases (such as the Nazi Doctors' Trial, the Tuskegee syphilis study, Willowbrook, Milgram's authority experiments, and the recently revealed U.S. government-sponsored radiation studies) will be examined with an eye both to historical detail and to ethical analysis. The course will emphasize controversies concerning the ethical design of research studies (e.g., randomization, placebos, informed consent, coercive inducements, gauging risk and benefit, etc.) as well as problems posed by specific "subject populations" such as medical students, prisoners, developing-world subjects, and cognitively impaired patients. Throughout the course, we will have practical experiences in the ethical review of research protocols.
- PREV 720 Statistical Methods in Epidemiology: Provides instruction on the specific statistical techniques used in the analysis of epidemiological data. Topics include: treatment of stratified and matched data, detection of interaction, conditional and unconditional logistic regression, survival analysis, and proportional hazards model.
Prerequisites: PREV 600, PREV 620 and consent of instructor.
- PREV 721 Regression Analysis: Covers basic principles and theory of regression techniques. Topics include simple and multiple linear regression, robust regression, regression diagnostics, logistic and Poisson regression analysis. The emphasis of this course is on learning the biomedical research application and interpretation of regression techniques.
Prerequisites: PREV 620 or consent of instructor.