Spring 2013

Overview and application of behavioral theories to the field of health education and promotion. Examines the determinants of health behaviro and strategies for change at the individual, group and community level.

Historical development of the American health care system; determinants of health care utilization; role of health care providers; health policy; public health services; and health care finance.

Concepts of biostatistics; appropriate uses and common misuses of health statistics; practice in the application of statistical procedures; introduction to statistical software including EXCEL, SPSS, nQuery. Laboratory.

Major parametric and non-parametric statistical tools used in biomedical research, computer packages including SAS. Includes laboratory. Lecture, 2 hours; laboratory, 2 hours.

Exploratory data analysis, detection of outliers, fitting data with linear and nonlinear regression models, computer packages including S-PLUS and SPSS.

Terminology/uses of epidemiology and demography; sources/uses of population data; types of epidemiologic studies; risk assessment; common sources of bias in population studies; principles of screening. Recommended preparation: algebra

Statistical methods for analysis of various experimental designs. Parametric analysis of variance (ANOVA), repeated measures methods, crossover designs, non-parametric ANOVA.

Basic understanding of behavioral risk factors in chronic disease and premature mortality; epidemiological research methods for studying behavioral risk factors. Recommended preparation: PM 512, PM 511ab

An overview of the tools used by statisticians for solving statistical problems. Graded CR/NC.

An overview of the tools used by statisticians for solving statistical problems. Graded CR/NC.

Overview of epidemiological research in cancer. Selected cancer sites will be covered to highlight study design and conduct, exposure assessment, data analysis and interpretation.

Principles and methods used in epidemiology for comparing disease frequencies between groups. Restricted to the analysis of binary outcome variables. Prerequisite: PM 512.

Techniques for the solution of statistical problems throughout intensive computing; iterative techniques, randomization tests, the bootstrap, Monte Carlo methods. Lecture and required laboratory.

Design, conduct, and interpretation of results of clinical trials; emphasis on structure, size, duration of a trial, and the impact of ethical and practical considerations. Prereq: PM 511L & 513.

Application of communication theories and methods to community health problems. Includes background assessment, program design, evaluation, social marketing, media advocacy, review of major health campaigns. Recommended preparation: PM 500

Survey of natural history of infectious disease, methods of disease control and outbreak investigation, and an overview of the epidemiology of injury.

Core concepts, methods and values of public health program planning and evaluation, including community needs assessment, writing objectives, designing health promotion programs, process and outcome evaluation. Recommended preparation: PM 500

An overview of environmental health, identifying issues in assessing effects of exposure on health and potential interventions for reducing adverse health risks.

Familial aggregation, segregation analysis, linkage analysis, association, regressive models, gene-environment interactions, genetic heterogeneity and linkage disequilibrium.

Physiological basis for good nutrition during pregnancy and childhood through adolescence. Design, implementation and evaluation of public health nutrition programs serving women and children. Recommended preparation: PM 530.

Theory, methods and procedures of network analysis with emphasis on applications to public health programs.

Examination of major policy issues in the US health care delivery system to understand policy options in reforming health care and reducing health care disparities.

Examination of important routes of exposure to toxic materials; how to measure exposure; strengths and weaknesses of different measurement techniques; design of exposure assessment studies. Recommended preparation: One semester of statistics and background in science or engineering for graduate students not in MPH.

Approaches for modifying health behavior in varioius settings and within diverse populations. Emphasis on practical considerations necessary to design and implement interventions with demonstrated effectiveness.

Current public health issues and research topics relating to 21st century challenges and threats. Lessons learned and best practices to strengthen public health systems and enhance public health readiness and preparedness.

Definition and chronology of natural and man-made disasters and their effects on the global community. Structure and organization of disaster management systems and the role of humanitarian organizations. Recommended preparation: PM 501, PM 512.

Ethical principles in the distribution of health resources, the conduct of global public health research, and the implementation of public health initiatives and practices across different nations, cultures, religions. Recommended preparation: PM 501.

An introductory course in the statistical methods used in the analysis of human genetic data.

Mammalian organ systems operation during health, and pathophysiologic analysis of related diseases with focus on neuroscience, immunology, metabolism, endocrine, reproduction, GI and liver. Faculty from basic and clinical sciences. Open to graduate students in biomedical science only.

Study designs, exposure-time response, longitudinal, spatial, ecologic correlation and mechanistic models, measurement error interactions, measurement error, public policy implications.

Social inequalities, including racial/ethnic disparities and income related inequalities are examined in the context of access and delivery of health care in the U.S.

History of child health and social welfare programs during the past century. Issues examining health status and health service delivery, the role of health care financing, and health policy.

Research leading to the master's degree. Maximum units which may be applied to the degree to be determined by the department. Graded CR/NC.

Field placement in a community agency, such as a county hospital department or community-based organization. Open to MPH candidates only. Graded CR/NC. Recommended preparation: completion of all coursework.

Credit on acceptance of thesis. Graded IP/CR/NC.

Credit on acceptance of thesis. Graded IP/CR/NC.

Credit on acceptance of thesis. Graded IP/CR/NC.

Special topics relevant to the study of selected issues and areas of health behavior research or other aspects of preventive medicine.

Health research/evaluation philosophies, approaches and development of skills for development and critique of health behavior research projects/studies. Recommended preparation PM-511.

Special topics of current interest to provide background for research in biostatistics and epidemiology. Based largely on student dissertation research. Graded CR/NC.

Independent research at an advanced level on a problem in the field of Health Behavior. Recommended preparation PM 604. Graded CR/NC.

Independent research at an advanced level on a problem in the field of Health Behavior. Graded CR/NC.

Independent research at an advanced level on a problem in the field of Health Behavior. Graded CR/NC.

Independent research at an advanced level on a problem in the field of Health Behavior.

Independent research at an advanced level on a problem in the field of health behavior. Graded CR/NC.

Short seminar presentations and discussions on issues accompanying the development of the field of health behavior and implementation of research in this field. Graded CR/NC.

Research applicable to the doctorate. Maximum units which may be applied to the degree to be determined by the department. Graded CR/NC.

Credit on acceptance of dissertation. Graded IP/CR/NC.

Credit on acceptance of dissertation. Graded IP/CR/NC.

Credit on acceptance of dissertation. Graded IP/CR/NC.

Credit on acceptance of dissertation. Graded IP/CR/NC.

Credit on acceptance of dissertation. Graded IP/CR/NC.