Biostatistics

• SPH BS 855: Bayesian Modeling for Biomedical Research & Public Health
  The purpose of this course is to present Bayesian modeling techniques in a variety of data analysis applications, including both hypothesis and data driven modeling. The course will start with an overview of Bayesian principles through simple statistical models that will be used to introduce the concept of marginal and conditional independence, graphical modeling and stochastic computations. The course will proceed with the description of advanced Bayesian methods for estimation of odds and risk in observational studies, multiple regression modeling, loglinear and logistic regression, latent class modeling including hidden Markov models and application to model-based clustering, graphical models and Bayesian networks. Applications from genetics, genomics, and observational studies will be included. These topics will be taught using real examples, class discussion and critical reading. Students will be asked to analyze real data sets in their homework and final project.
• SPH BS 857: Analysis of Correlated Data
  The purpose of this advanced seminar is to present some of the modern methods for analyzing tricorrelated observations. Such data may arise in longitudinal studies where repeated observations are collected on study subjects or in studies in which there is a natural clustering of observations, such as a multi-center study of observations clustered within families. Students start with a review of methods for repeated measures analysis of variance and proceed to more complicated study designs. The course presents both likelihood-based methods and quasi-likelihood methods. Marginal, random effects and transition models are discussed. Students apply these methods in homework assignments and a project.
• SPH BS 858: Statistical Genetics I
  This course covers a variety of statistical applications to human genetic data, including collection and data management of genetic and family history information, and statistical techniques used to identify genes contributing to disease and quantitative traits in humans. Specific topics include basic population genetics, linkage analysis and genetic association analyses with related and unrelated individuals.
• SPH BS 859: Applied Genetic Analysis
  Statistical tools such as linkage and association analysis are used to unravel the genetic component of complex disease. Investigators interested in the genetic analysis of complex traits need a basic understanding of the strengths and weaknesses of these methodologies. This course will provide the student with practical, applied experience in performing linkage and association analyses, including genome-wide analyses. Special emphasis is placed on understanding assumptions and issues related to statistical methodologies for genetic analysis to identify genes influencing complex traits. Students will use specialized genetics software for homework assignments.
• SPH BS 860: Statistical Genetics II
  This course covers current topics in statistical genetics, with emphasis on how statistical techniques can be used with various types of genetics data for mapping genes responsible/contributing to complex human diseases. Topics such as genetics map functions, gene mapping in experimental organisms, advanced linkage analysis methods, statistical approaches for the analysis of genome-wide high density SNP scans in unrelated and family samples will be discussed.
• SPH BS 861: Applied Statistics in Clinical Trials II
  This course covers a variety of biostatistical topics in clinical trials, including presentation of statistical results to regulatory agencies for product approval, analysis of safety data, intent-to-treat analyses and handling of missing data, interim analyses and adaptive designs, and analyses of multiple endpoints. Upon completion of the course, students will be able to make and defend decisions for many study designs and for issues faced when analyzing efficacy and safety data from clinical trials. Students will also be able to present, in a written format following standard guidelines accepted by the clinical trials' community, results of such efficacy and safety analyses to the medical reviewers and statistical reviewers of regulatory agencies.
• SPH BS 865: Statistical Consulting
  Consulting is an integral part of a career in biostatistics. This course introduces students to the skills needed to become an effective consultant and provides opportunities for practical training through mock consultations, video consulting sessions and case studies. Topics covered include steps in a consulting session, project/data management, and oral and written presentation of results. Students will also gain experience in writing data analysis plans, performing sample size/power calculations and data analysis.
• SPH BS 871: Advanced Topics in Biostatistics
  Advanced Topics in Biostatistics explores various areas of study within the field of biostatistics in greater depth. Two and four credit topics classes vary by semester. See the print or web-based School of Public Health semester schedule for more information pertaining to the advanced topics course for a specific semester.
• SPH BS 980: Continuing Study in Biostatistics
  Doctoral students in Biostatistics register each summer and fall for Continuing Study in Biostatistics until they have graduated from their doctoral program. Students will participate in a dissertation workshop and other activities while they are preparing their dissertation. Students are charged for 2 credits equivalent of tuition and for medical insurance. They are certified full time. Students must be registered for this course at GRS.

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