Courses - Spring 2025
EPIB301
Epidemiology for Public Health Practice
Credits:
3
Grad Meth:
Reg, P-F
Restriction: Must be in Public Health Science program; or must be in Community Health program. And must have earned a minimum of 45 credits.
An examination of the discipline of epidemiology and its application to public health issues and practices, covering current epidemiological concepts and methods.
EPIB315
Biostatistics for Public Health Practice
Prerequisite: Minimum grade of C- in EPIB301; or must have completed or be concurrently enrolled in HLTH200.
Restriction: Must be in one of the following programs (Public Health Science; Community Health).
Credit only granted for: EPIB300 or EPIB315.
Formerly: EPIB300.
Additional information: Course is cross-listed; students should check program advising information to determine which counts for their major. Note that EPIB300 (old number) is still offered for students under previous curriculum.
An examination of biostatistical concepts and procedures as they relate to contemporary issues in public health. Focus on applications, hands-on-experience, and interpretations of statistical findings in public health research.
EPIB330
Introduction to Infectious Disease Epidemiology
Credits:
3
Grad Meth:
Reg, P-F, Aud
Prerequisite: EPIB301.
Introduces students to the study of infectious disease through the application of epidemiologic methods. Students will review how infectious diseases impact global health, and examine epidemiological concepts related to infectious disease. These concepts include infectious disease transmission, prevention and control; study design; and outbreak and epidemic investigations. Infectious disease topics of concern to public health professionals will be covered including the COVID-19 pandemic, sexually transmitted infections, foodborne infections, healthcare-acquired infections and neglected tropical diseases, and future trends in the field of infectious diseases.
EPIB399
Epidemiology and Biostatistics Independent Study
Credits:
1 - 3
Grad Meth:
Reg
EPIB463
Introduction to Biostatistical Programming
Credits:
3
Grad Meth:
Reg, P-F, Aud
An introduction to basic programming principles; data analysis tasks such as the calculation of summary statistics and the creation of graphs; and the implementation of statistical analysis concepts such as T-tests, ANOVA and correlation. Querying and managing data sets using SQL in SAS will also be covered.
EPIB611
Intermediate Epidemiology
Credits:
3
Grad Meth:
Reg, Aud
Prerequisite: 1 course with a minimum grade of B- from (SPHL602, EPIB610); or a minimum score of 70% on the SPHL602 or EPIB610 waiver exam.
Analysis of epidemiologic methods as applied to epidemiologic research, analysis of bias, confounding, effect modification issues, overview of design, implementation, and analysis of epidemiologic studies.
EPIB637
Social Epidemiologic Methods in Health Equity Research
Credits:
3
Grad Meth:
Reg, Aud
Prerequisite: SPHL602 or permission of instructor.
Provides students with the knowledge and skills to design and implement social epidemiology studies related to investigating health inequities. Presents an overview of drivers of health inequities (e.g., racism, socioeconomic status) and conceptual and methodological challenges in empirically investigating these social determinants of health including issues related to confounding, selection bias, measurement error, and evaluation of mechanisms. Covers methodological approaches that can be used to address these challenges including instrumental variable analyses, difference-in-differences, mediation analyses using inverse odds ratio weighting, and qualitative analyses. This knowledge will be applied to exploring research questions of your choice. The course will foster a co-learning environment and recognize the value and strength of interdisciplinary perspectives. Curiosity and critical thinking are encouraged and supported.
EPIB651
Applied Regression Analysis
Credits:
3
Grad Meth:
Reg, Aud
Prerequisite: 1 course with a minimum grade of B- from (SPHL602, EPIB650); or a minimum score of 70% on the SPHL602 or EPIB650 waiver exam.
Recommended: EPIB697 or previous experience working with SAS is highly recommended.
An introduction to important statistical methods used in public health research, including nonparametric hypothesis testing, ANOVA, simple and multiple linear regression, logistic regression, and categorical data analysis.
EPIB653
Applied Survival Data Analysis
Credits:
3
Grad Meth:
Reg, Aud
Prerequisite: EPIB651.
Overview of statistical methods for anlayzing censored survival data, including the Kaplan-Meier estimator, the log-rank test, Cox PH model.
EPIB660
Analysis of National Health Survey Data
Credits:
3
Grad Meth:
Reg, Aud
Prerequisite: EPIB650; or permission from Instructor.
Recommended: EPIB697.
Provides background on how features such as stratification, clustering, and unequal sample selection probabilities can invalidate the assumptions underlying traditional statistical techniques, those implicitly assuming a simple random sampling with replacement design. Application using the SURVEY family of SAS/STAT procedures (Version 9.4 or later).
EPIB664
Missing Data Analysis
Credits:
3
Grad Meth:
Reg, Aud
Recommended: Previous experience with at least one statistical software (e.g. SAS, R, STATA).
Missing data is a common problem in almost all scientific fields. Students will learn the different patterns and mechanisms of missing data, common procedures to handle missingness including weighting procedure, imputation-based procedure and model-based procedure. Useful and popular imputation methods and tools will be introduced. Numerous real data examples will be included to help students understand and solve the real world problem with missing data for different study designs.
EPIB674
Foundations of Machine Learning in Public Health
Credits:
3
Grad Meth:
Reg, Aud
Prerequisite: EPIB650 and EPIB651 or equivalent. This requirement can be met through other relevant courses or experience, with the consent of the instructor.
This graduate-level course in machine learning focuses on modern techniques for analyzing complex and massive data sets. Emphasis is placed on applications, computational methods, and the theoretical foundations of machine learning.
EPIB695
Introduction to R for Health Data Analysis
Credits:
3
Grad Meth:
Reg, Aud
Jointly offered with: EPIB463.
Credit only granted for: EPIB463 or EPIB695.
A hands-on introduction to the statistical package R for health data management and analysis. The first part of the course focuses on basic and essential data manipulation and visualization using R. The second part emphasizes the use of R in statistical analyses, including summarization, correlation, chi-squared test, t-tests, ANOVA, simple and multiple regression. Students will also learn fundamental R language programming to perform user-defined calculations. No previous knowledge of R or of statistical analysis are assumed.
EPIB741
Association Models for Cohort and Cross-Sectional Studies
Credits:
3
Grad Meth:
Reg, Aud
Prerequisite: EPIB612; or permission of instructor .
The first part of a two-course advanced methods series specifically designed for doctoral students in epidemiology. This course focuses on implementing analytical strategies guided by epidemiologic principles for data analysis, with an emphasis on association modeling techniques tailored for cohort and cross-sectional studies. Key topics include model specification, effect estimation, confounding control, and the assessment of interaction and mediation effects. The course covers applied multivariate regression models, such as log-binomial regression, robust Poisson regression, the Cox proportional hazards models, and propensity-score models. Detailed procedures are provided for model specification, assessment of model assumptions, selection of alternative models, estimation of effects, and interpretation of findings from association models.
EPIB778
Practical Experience in Public Health
Credits:
1 - 4
Grad Meth:
Reg
EPIB786
Capstone Project in Public Health
Credits:
3
Grad Meth:
Reg, Aud
Prerequisite: Permission of SPHL-Epidemiology & Biostatistics department.
Capstone experience providing opportunity to apply knowledge and skills to a specific public health problem or issue. Completion of project relevant to public health under the direction of an advisor.
EPIB788
Critical Readings in Epidemiology and Biostatistics
Credits:
1 - 3
Grad Meth:
Reg, Aud, S-F
EPIB798
Independent Study
Credits:
1 - 6
Grad Meth:
Reg, Aud
EPIB799
Master's Thesis Research
Credits:
1 - 6
Grad Meth:
S-F
EPIB898
Pre-Candidacy Research
Credits:
1 - 8
Grad Meth:
Reg
EPIB899
Doctoral Dissertation Research
Credits:
6
Grad Meth:
S-F
Flagship Institution of the University System of Maryland
University of Maryland, College Park, MD 20742, USA
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