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Core Courses in Master's in Biostatistics

Biostatistics Specific Core Courses

EPI 808B Advanced Biostatistics

Fall 3(3,0), Open only to master’s students or doctoral students in the Epidemiology major or approval of department

Fundamental theory of probability and statistical inference related to the practice of public health. Discrete and continuous random variables, sampling distributions, parametric point and interval estimation, hypothesis testing, maximum likelihood estimates, methods of constructing test and estimation procedures. Sample size, power, and efficiency.

EPI 826B Categorical Data Analysis

Spring 3(3-0), Open only to master’s students or doctoral students in the Epidemiology major or approval of department. Prerequisite: EPI 808B

Applications to real data from clinical and epidemiologic studies of categorical outcomes, distributions for categorical responses and contingency tables, logistic regression and related logit models for binary and multicategory response variables, repeated and clustered categorical data, generalized linear mixed models.

EPI 853B Statistical Computing or STT 461 Computations in Probability and Statistics

Fall 3(3,0), Open only to master’s students or doctoral students in the Epidemiology major or approval of department

Prereq: EPI 810

Statistical computation and algorithms using programming languages, SAS/IML, R and/or Stata, Newton-Raphson method, Monte Carlo simulation of probability distributions, bootstrap, statistical graphics.

EPI 855 Biostatistical Modeling in Genomic Data Analysis

Fall 3(3,0), Open only to master’s students or doctoral students in the Epidemiology major or approval of department

Introduction to fundamental principles and modeling of genomic /genetic data and computational techniques

EPI 856 Statistical Consulting in Public Health

Spring 3(3-0), Open only to master’s students or doctoral students in the Epidemiology major or approval of department.

Critical appraisal of applied epidemiological studies, use of real applications to solve design and data analysis problem, and communication of findings to public health researchers, oral/written reports on intermediate and final results of case studies

Epidemiology-Specific Core Courses

EPI 810 Introductory Epidemiology

Fall 3(3,0), Open only to master’s students or doctoral students in the Epidemiology major or approval of department

Disease from a population perspective as the interaction of host, agent, and environment. Case definition, measuring frequency of disease, mortality and morbidity data, and major study designs. Offered first half of semester.

LCS 829 Design and Conduct of Epidemiological Studies and Clinical Trials

Spring 3(3-0), Open only to master’s students or doctoral students in the Epidemiology major or approval of department.

Applied analytical methods in experimental design. Assessment of health and disease status of animal and human populations. Risk assessment and interpretation of clinical trials.

EPI 808 Biostatistics I

Fall 3(3-0). Open only to master’s students or doctoral students in the Epidemiology Major or approval of department.
Instructor:  J. Gardiner

Applications of probability and statistics in the applied health sciences. Probability distributions, estimation and test for one-, two-, and paired samples, linear regression, correlation, an ANOVA. Use of statistical software. Critical appraisal of statistical methods in the biomedical literature.

EPI 809 Biostatistics II

Spring 3(3-0). Open only to master’s students or doctoral students in the Epidemiology major or approval of department.Prereq.: STT 425 or EPI 808

Analysis of categorical data in epidemiologic studies. Contingency tables and logistic regression.

EPI 826 Research Methods in Epidemiology

Only open to graduate students in Epidemiology or approval of department.

Fall 3(3-0). Open only to master’s students in the Epidemiology major or approval of department.

Instructor: D. Pathak
Prereq.: STT 426

Analyses of epidemiologic and clinical data applying statistical methods, based on logistic and survival models, using standard software.