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Course Criteria
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3.00 Credits
The course will focus on becoming familiar with the theory of ordinary least squares regression analysis and its assumptions as well as the necessary alterations required to conduct valid analysis when those assumptions are not met. To the extent possible, examples will be taken from the health services research literature
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3.00 Credits
The first part of this course introduces general estimation frameworks including least squares (specifically, least squares as applied to multivariate models, and nonlinear least squares), maximum likelihood, generalized method of moments, and some corresponding variants (e.g., quasi-likelihood, Monte Carlo methods, and instrumental variables). The second part of the course focuses on the application of the preceding estimation methods to the development and analysis of qualitative and limited dependent variable models (e.g., logit, probit, multinomial/conditional/nested logit, multinomial probit, mixed logit and probit, and censored and truncated data), duration models (e.g. Kaplan-Meier product limit estimator, Cox's proportional hazard model, and full parametric specifications), and multivariate models (e.g., multivariate regression, sample selection models, and simultaneous equation models).
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3.00 Credits
The purpose of this course is to provide the student with a strong understanding of and experience in the more advanced quantitative methods for the analysis of epidemiologic studies. A more detailed presentations of the analysis issues of confounding and interaction will be presented and a complete presentation of most multivariate techniques
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3.00 Credits
The objective of this course is to provide an overview of environmental issues related to public health. Physical, social and psychological environmental issues will be addressed through readings, lectures, discussions as well as field trips and site visits. Selected environmental issues will be addressed from the perspective of impact on public health (history and current public health).
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3.00 Credits
The purpose of this course is to provide the student with a comprehensive background in the development and testing of self-report instruments for epidemiologic research purposes. A review of the principles of survey development will begin the course, however, it will rapidly move to a more hands-on approach as students will learn how to run and interpret classical test theory analyses, factor analyses, responsiveness to change analyses and Item Response Theory (IRT) analyses of item pool data. The students will learn how to use and integrate these statistical approaches to develop self-report instruments with high levels of validity and low levels of measurement error.
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0.00 Credits
A weekly seminar series for Rochester Clinical Research Curriculum participants. This series will include presentations from UR training mentors, guest lecturers, experts in technological innovations in clinical research, as well as trainee presentations.
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0.00 Credits
A non-credit course required of all Rochester Clinical Research Curriculum trainees, PhD and postdoctoral fellows. This workshop series will address the principle elements of scientific presentation and communication such as: medical writing, abstract preparation, poster development, manuscript review and critique, oral presentations, working with the media/public relations.
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4.00 Credits
Examination of the interconnected histories of medical science, public health, and political action promoting social and health reform, from the Scientific Revolution of the seventeenth century to the present. Attention will also be directed to improvements in health status, variations in the distribution of disease and risk, and changes in the social role of medicine and medical institutions. The material includes major primary sources: Frank, Engels,Virchow, Riis, Hamilton, Sigerist, Geiger. Secondary readings will include Rosen's A HISTORY OF PUBLIC HEALTH, and Jones' BAD BLOOD.
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3.00 Credits
The study of how three major parties in the health care system, insurers, hospitals and physicians, interact and how the nature of these interactions affects the system¿s overall economic performance
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3.00 Credits
Cost-effectiveness research is increasingly used to evaluate alternative choices in clinical practice and to enlighten and inform health policy determinations. In this course, students are introduced to the methods of cost-effectiveness research, including various strategies of evaluating costs and health effects and the ways to present and interpret uncertainty in medical decision making. Students will also participate in a lab to learn decision analysis software to conduct cost-effectiveness analyses themselves.
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