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PUBH.5750 Epidemiology and Biostatistics (3cr)
Epidemiology is the study of the distribution and determinants of disease in human populations, and the risk factors associated with diseases. This course provides an introduction to epidemiology and the associated biostatistical methods that constitute the principal quantitative methods for disease prevention. Topics include: measures of disease frequency, measures of central tendency and spread, rates and risks, precision and validity, bias, simple linear regression, and the important study designs (population surveys, cohort, case-control and cross-sectional studies).
Requirements:
CSCE Graduate Restrictions
PUBH.5760 Biostatistical Programming (3cr)
This course is designed to provide familiarity with several types of statistical software commonly used in public health research. The course covers topics including: reading raw data and existing data sets; modifying data; combining data sets; applying basic statistical procedures; and sorting, summarizing, and printing data.
PUBH.5770 Biostatistics for Health Data (3cr)
This is a practical course in biostatistical methods for health research. Emphasis is placed on developing an understanding of the use and interpretation of standard biostatistical methods. Topics include probability and sampling distributions, regression and ANOVA, methods for analyzing rates and proportions, power and sample size calculations. Students will gain experience in using a statistical software package to apply and expand their data analysis skills.
PUBH.6820 Applied Epidemiology Methods (3cr)
This course emphasizes the design and conduct of epidemiology studies. Major topics covered include: casual inference in epidemiology, point and interval estimation for cohort and case control studies, exposure assessment for epidemiology, control of confounding, the identification and interpretation of effect modification, as well as cross-sectional designs and meta-analysis.
Requirements:
PUBH.5750 pre-req
PUBH.6850 Applied Public Health Research and Practice (3cr)
The focus of this course is to provide students with advanced skills necessary to collect quantitative and qualitative data for public health research and practice. Students will learn quantitative methods including questionnaire development, survey planning, data collection, data coding and data management. The course will prepare students to design, conduct, analyze and interpret qualitative research. Strategies for mixed methods research in social and behavioral sciences will be discussed.
PUBH.6870 Quantitative Models for Public Health (3cr)
This course introduces quantitative models commonly used in public health research and practice. Emphasis is placed on understanding the logic and underlying assumptions of theses models. Students will gain knowledge and skills in properly selecting and applying these models in various practical settings. Topics include probability sample surveys, quantitative risk assessment, quasi experimental design, propensity matching, interrupted time series, epidemics of infectious diseases, Monte Carlo simulations, and predictive analytics.
PUBH.6890 Advanced Regression Modeling (3cr)
This course will introduce linear, generalized linear and time-to-event regression models that are commonly used in epidemiologic research, community needs assessment and public health program/policy evaluations. Topics include regression models for continuous, binary, ordinal, multinomial, count, time-to-event, and longitudinal data.
Requirements:
PUBH 5750 and PUBH 5770 Pre-re