|
|
Curriculum |
|
|
EPI_BIO 301 Introduction to Epidemiology (1): Introduction to Epidemiology will describe the study designs used to study disease in human populations including randomized trials and four types of observational studies (cohort, case-control, cross-sectional, and ecological). Because cause-and-effect relations are at the heart of epidemiologic research, this course will also introduce concepts of causal inference, threats to study validity, and multi-causality.
EPI_BIO 302 Introduction to Biostatistics (1): This course is designed to equip students to engage in three common statistical tasks: 1) collecting data, 2) summarizing and exploring data, and 3) drawing conclusions and making decisions based on data.
EPI_BIO 303 Basic Statistical Inference (1): This course covers basic concepts about statistical inference used in the medical sciences. Specifically, the course will focus on probability concepts, point and interval estimation, hypothesis testing, Neyman-Pearson theory, maximum likelihood and decision theory. Emphasis will be placed on the development of statistical concepts and methods in a mathematical framework and conducting statistical analysis using a computer.
EPI_BIO 305 Data Management and Programming (1): Prepares students for computer-based data management, statistical data processing, and programming using SAS systems. Brief introduction to other statistical packages including R, SPSS, and Epi-Info.
EPI_BIO 401 Intermediate Epidemiology (1): This course is designed to familiarize students with a greater depth of knowledge in observational epidemiologic methods, and classical (a.k.a., stratified) methods of statistical analysis applied to observational epidemiologic studies. The material presented in this course will build upon the information presented in Introduction to Epidemiology or Medical Decision Making II. Specifically, this course will focus on the design, conduct, and interpretation of observational studies in human populations with a focus on analytic cross-sectional, case-control and cohort studies. Key issues related to the validity of measures of exposure and disease, and sources of potential errors in interpreting epidemiologic studies will be addressed.
EPI_BIO 402 Intermediate Biostatistics (1): This course builds upon the material learned in Introduction to Biostatistics and Intermediate Epidemiology. Specifically, the course will focus on multivariate methods of analysis for epidemiologic and clinical studies including correlation, linear regression, logistic regression, and Cox proportional hazards regression. Prerequisites: EB301 (Introduction to Epidemiology); EB302 (Introduction to Biostatistics); past or concurrent registration in EB401 (Intermediate Epidemiology).
EPI_BIO 499 Independent Study (1): This is Independent Study course is designed to give students a hands-on practical training on statistical analysis. This course will offer 4 statistical consultation projects -- real case study. Students will be given the data and a brief introduction of the data. Students will need to check the data, perform preliminary data analysis, orally present their statistical approach, modeling, findings, and interpretation of their result, and write a report for each project. Students will be evaluated by the quality of their oral presentation and project report.
EPI_BIO 501 Advanced Epidemiology (1): This course builds on material learned in previous Biostatistics and Epidemiology courses. We will focus on applying that knowledge to the design, implementation, analysis and interpretation of observational epidemiologic studies (cross-sectional, case-control and cohort). Prerequisites: Epi Bio 305 Data Management and Programming, Epi Bio 401 Intermediate Epidemiology, Epi Bio 402 Intermediate Biostatistics.
EPI_BIO 502 Advanced Biostatistics (1): This course covers advanced statistical methods used in medical research. Specifically, the course will focus on robust regression methods, nonparametric inference procedure and model building techniques. Emphasis will be placed on the practical implementation of modern statistical methods. Prerequisites: Equivalent of Intro to Biostatistics and Intermediate Biostatistics or permission from the instructor.
Related Courses
PUB_HLTH 438 Survey Design and Methodology (1): Methodological issues and hands-on experience in the design, implementation, analysis, and interpretation of surveys and questionnaires in public health research.
PUB_HLTH 524 Cardiovascular Disease Epidemiology (1): Cardiovascular disease with critical analysis of current epidemiologic literature; study methodological issues, contemporary findings, and recommendations for future research.
PUB_HLTH 525 Molecular Epidemiology (1): Major theoretical concepts and practical issues involved in conducting research in molecular biomarkers in human populations.
PUB_HLTH 526 Cancer Epidemiology (1): Basic concepts and issues in cancer epidemiology; statistics; etiology and risk factors for major cancer sites; research design and interpretation in context of cancer epidemiology; molecular and cellular basis of carcinogenesis pertaining to cancer occurrence in populations.
|
|
|
|
