- Biostatistics in Practice
This course is designed for collaborative researchers and will provide an overview of the fundamental concepts of biostatistics. Topics covered include descriptive statistics, sampling distribution, confidence intervals, hypothesis testing, t-test, analysis of variance, linear model, logistic regression, and survival data analysis. The course includes a laboratory session demonstrating the use of STATA to carry out tests discussed in the lecture. Emphasis in this course is placed on understanding data properties, choosing appropriate analysis methods, performing analysis, and interpreting study results.
- Critical Appraisal of the Medical Literature
This seminar focuses on techniques for critical appraisal of the medical literature. Each student will be responsible for at least one critical appraisal session covering different epidemiologic topics (including the evaluation of RCTs, observational studies, diagnostic tests, qualitative research, meta-analyses, guidelines, and economic analyses). For his/her session, each student will critically appraise a journal article and lead the discussion concerning that article.
- Introduction to Clinical Epidemiology
Fall term, Summer II Term
This course is a series of lectures introducing basic principles of epidemiologic research design. Lectures include the following topics: definitions of epidemiology; measures of disease frequency; measures of effect and association; epidemiologic study designs, both experimental and non-experimental; data collection methods; and an overview of analysis of epidemiologic studies.
- Clinical Trials and Translational Research
This course will cover methods in the design, conduct, and reporting of clinical trials. Topics to be covered include: study design and biostatistical considerations specific to drug development (with particular emphasis on cancer research); research ethics; regulatory and monitoring issues; data management; and methods for the incorporation of biological endpoints into clinical trial design/implementation. A primer on publishing results is also provided.
- Database Management
This course provides students with an introduction to the techniques of data collection and database management as they apply to clinical research. Students learn how to design and implement computerized databases and electronic surveys using the REDCap platform, perform basic data import and export operations, protect the security and confidentiality of study data, and perform quality assurance procedures. This course focuses on the practical issues of database management.
- Practical Applications in Clinical Research Methods
This course is a series of lectures and discussions designed to introduce students to concepts and issues in data collection and database management, protocol development, regulatory affairs, and research ethics. This course is designed especially for those interested in collaborative research. Each class session will consist of approximately 45 minutes of discussion of one or two pertinent articles from the literature and presentation and discussion of student assignments, followed by 75 minutes of lecture.