- PHS 711: Survey Research Methods (3 credits, T. Guterbock )
Covers the theory and practice of survey research. Explores surveys as a scientific method; applied sampling from survey populations; construction, testing, and improvement of survey instruments; interviewer training; organization of field work; coding and data quality control; data analysis; and the preparation of survey reports.
Prerequisites: PHS 700 or other statistics course
Offered every other spring. Will be offered again in Spring 2009 .
- PHS 712: Health Technology and Outcomes Evaluation (3 credits, G. Stukenborg )
Introduces the student to the techniques needed for the evaluation of health outcomes from the perspectives of patients, physicians, health care providers, and society at large. Presents measurement and evaluation of survival, functional status, quality of life, and health values. Addresses evaluation of the efficacy, effectiveness, and cost-effectiveness of devices, interventions, and processes of care.
Prerequisites: PHS 700; PHS 701, PHS 717
Sample syllabus (.pdf format)
- PHS 731: Clinical Trials Methodology (3 credits, G. Petroni)
Covers the design and analysis of Phase I-III clinical trials. Includes choice of study population and endpoints, choice of study design and sample size estimation, randomization and masking, patient recruitment, data collection and quality control, data monitoring committees, data analysis, and the interpretation and reporting of results.
Prerequisites: PHS 700 or equivalent
Sample syllabus (RTF format)
Instructional Toolkit course home page available
- PHS 743: Applied Informatics in Medicine (3 credits, J. Harrison )
Uses a case-based approach to analyze and discuss informatics techniques and tools as they apply to real-world challenges in the modern health care arena. Student participation and presentations required.
Prerequisites: PHS 707 or equivalent recommended.
- PHS 795: Directed Reading: Statistical Bioinformatics in Medicine (3 credits, J. Lee )
Provides an introduction to bioinformatics and discusses important topics in computational biology in medicine, particularly based on modern statistical computing approaches. Reviews state-of-the-art high-throughput biotechnologies, their applications in medicine, and analysis techniques. Requires active student participation in various discussions on the current topics in biotechnology and bioinformatics.
Prerequisites: PHS 700
Sample syllabus (RTF format)
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