HR 5101 Independent Study in Health Services Research. (1-0) An in-depth study of a single topic or related problem solved through health services research. The course may be repeated once if the topic studied is different.

HR 5111 Seminar in Health Services Research. (1-0) A seminar course which allows beginning and advanced students to interact with faculty in an informal setting for discussions related to skills required of the health services research student. Special research and evaluation skills or case studies from the health field may be discussed. May be repeated if topic differs.

HR 5301 Independent Study in Health Services Research. (3-0) An in-depth study of a single topic or related problem solved through health services research. The course may be repeated once if the topic studied is different.

HR 5311 Seminar in Health Services Research. (3-0) This course will introduce the student to some of the latest trends and issues in health services research, as well as newer analytical techniques, focusing on research applications where possible using real data and problems. This course may be repeated for credit with different area of study.

HR 5330 Biostatistics for Health Professionals. (3-0) An applied course addressing statistical and analytical techniques important to researchers and practitioners within the scientific and health profession communities. This course provides in depth coverage of biostatistical methods from simple ANOVA and regression, through selected multivariate techniques.
Prerequisites: HP 3302 or equivalent.

HR 5331 Experimental Design and Biomedical Research. (3-0) An introduction to analysis of variance procedures applicable to health research, beginning with simple factor designs and proceeding to higher order factorial designs and analysis of covariance. ANOVA procedures will be examined along with appropriate experimental designs for biomedical research.
Prerequisite: Health Professions 3302.

HR 5333 Regression Analysis and Biostatistics. (3-0) An introduction to multivariate analysis techniques appropriate to the health sciences. Multiple statistical packages such as the Biomedical package (BMD) will be utilized. The analysis of health data using least-squares analysis for the study of multiple regression and analysis of variance will be examined. Time series analysis will be studied for its utility in forecasting needs within health agencies.
Prerequisite: Health Research 5331 or consent of the instructor.

HR 5337 Clinical Trials and Statistical Analysis. (3-0) A survey of statistical techniques important in the analysis of biomedical data, statistical analysis related to bioassay, clinical trials and survey research with special emphasis on mathematical modeling techniques. Confidentiality and privacy of records, safe-guarding computer data, and rights of human and animal subjects will be addressed.
Prerequisite: HR 5333 or consent of instructor.

HR 5339 Advanced Multivariate Health Data Analysis. (3-0) Advanced multivariate analysis techniques are examined for their utility to the health sciences. Statistical computer packages, such as the Biomedical Statistical Package (BMD), will be used for the study of each statistical procedure. Applied to health data will be procedures such as multivariate analysis of variance, canonical correlation, factor analysis, and discriminate analysis.
Prerequisite: HR 5333 or approval of instructor.

HR 5341 Operations Research in Health Administration. (3-0) Adaptation and application of procedures and principles of operations research to the specific needs and requirements of health service institutions. Specific attention will be given to the improvement of effectiveness and efficiency of management functions and the delivery of health services. Emphasis will be placed on techniques to optimize allocation of resources, inventory control, customer service/cost factors, and project management within health institutions.
Prerequisite: Healthcare Human Resources 5391 or Health Research 5331.

HR 5343 Decision Support Systems for Health Care. (3-0) An examination of financial modeling and decision support systems as aids to decision making in healthcare. Applications of Monte Carlo simulation, modeling, and risk analysis are examined for their utility in healthcare service improvement.

HR 5345 Simulation Modeling in Health Care. (3-0) Application of simulation modeling to analyze healthcare systems. Examine complex interrelationships existing between variables and predict how changes to these variables affect the total system. Emphasizes design, analysis and construction of computer based simulation models to evaluate complex healthcare issues that cannot be solved using conventional quantitative methods.

HR 5351 Principles of Epidemiology. (3-0) Principles of epidemiological methods are examined as they may identify factors influencing health and disease in a population. Epidemiological methods are examined for their technique of hypothesis formation, retrospective and prospective methods, and sampling problems.

HR 5353 Advanced Methods in Epidemiology. (3-0) This course will examine advanced epidemiological methods important to public health research. It will focus on quantitative methods and issues surrounding their use.

HR 5355 Environmental and Occupational Epidemiology. (3-0) An examination of environmental and occupational exposures related to disease or injury. Topics covered include exposure assessment, cancer and the environment, reproductive epidemiology, radiation, and a variety of occupational exposures such as heavy metals and pesticides.

HR 5357 Clinical Epidemiology and Outcomes Research. (3-0) Examination of techniques and issues important to clinical epidemiology and how they can be applied to health outcome research. A study of variation in the measurement of illness to include diagnostic and screening tests; experimental design; outcome measures; patient satisfaction; and risk adjustment for severity, co morbidity, and demographic factors.

HR 5362 Bioinformatics. (3-0) Examines clinical information systems and statistical issues in the emerging field of genomics and proteomics. Topics examined include medical advances, gene mapping, database issues, ethical issues surrounding genomic research, stochastic models, dynamic programming, Markov-Chain Monte Carlo methods, neural networks, and Bayesian statistical techniques.
Prerequisite: HR 5330.

HR 5363 Medical Informatics. (3-0) An examination of clinical aspects of health care information systems to include administrative systems, diagnostic systems, and patient care monitoring systems. Current challenges and future technologies will be discussed.

HR 5369 Health Information Systems. (3-0) Critical examination of concepts and theories of medical information systems and their integrated support in functional areas of health institutions, such as pharmacy, clinical laboratory, radiology, food service, wards and clinics, patient administration, patient appointment scheduling and logistics.

HR 5383 Healthcare Marketing Research. (3-0) Examination of methods for internal and external environmental analysis, including patient demographics and economic factors. Patient satisfaction surveys, institutional image analysis, competition analysis, and sources of health marketing research data will be introduced.

HR 5399A Thesis. This course represents a student’s initial thesis enrollment. No thesis credit is awarded until student has completed the thesis in Health Research 5399B. Graded on a credit (CR), progress(PR), no-credit (F) basis.

HR 5399B Thesis. This course represents a student’s continuing thesis enrollments. The student continues to enroll in this course until the thesis is submitted for binding. Graded on a credit (CR), progress (PR), no-credit (F) basis.

HR 5490 Internship in Health Research and Evaluation. (4-0) Allows the student to reinforce skills learned in the classroom through the development of practical skills for the researcher/evaluator. Students are expected to work with key decision makers in an agency or institutions to design, develop, implement, and evaluate a specific area of study. May be repeated once with permission of the department chair. Graded on a credit (CR), no-credit (F) basis.

HR 5495 Directed Study in Health Services Research. (4-0) A course where the student investigates a topic of importance to Health Services Research under the supervision of a faculty member. Topics may be selected to advance a student’s knowledge beyond that normally covered in an organized course. A significant terminal project should result from the investigation. Graded on credit (CR), no-credit (F) basis.