Biostatistics: Course Descriptions
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PUBHBIO 2210Credits: 3
Biostatistics for Public Health ResearchHands-on experience using statistical tools to answer real-world questions. Students will design and implement a short survey and analyze their results. Emphasis on analysis of actual survey data using statistical software. Statistical topics include numerical/graphical summaries, measures of association, and hypothesis testing. Focus is on interpretation, not calculation. Prerequisites: None
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PUBHBIO 2210HCredits: 3
Honors Biostatistics for Public Health ResearchHands-on experience using statistical tools to answer real-world questions. Students will design and implement a short survey and analyze their results. Emphasis on analysis of actual survey data using statistical software. Statistical topics include numerical/graphical summaries, measures of association, and hypothesis testing. Focus is on interpretation, not calculation. GEN foundation math and quantitative reasoning or data analysis course. Prerequisites: Honors standing or permission of instructor.
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PUBHBIO 3193Credits: 1‐6
Individual Studies in BiostatisticsIndividual studies in Biostatistics focusing on applied topics. Prerequisites: Permission of instructor.
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PUBHBIO 5280Credits: 3
Introduction to Genomic Data AnalysisProvides an in‐depth analysis of a specific question to which genomic methods are applied. Intersperses experimental methods and statistical analysis of biological data. Some experience with programming is recommended. Prerequisites: Jr. standing or above, and Math 1151 or 1156, STAT 2450 or 2480, and Biology 1113 or MolGen 5660, or Grad standing; or permission of instructor.
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PUBHBIO 6210Credits: 3
Applied Biostatistics ITheory and application of basic statistical concepts for design of studies in health sciences, integrated with statistical Prerequisites: Grad standing.
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PUBHBIO 6211Credits: 3
Applied Biostatistics IIA second course in applied biostatistical methods with an emphasis on regression methods commonly used in the health sciences. The focus is on linear regression and ANOVA. Integrated with use of computer statistical packages. Prerequisites: Grade of B‐ or above in PUBHBIO 6210 or PUBHLTH 6001 or permission of instructor.
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PUBHBIO 6250Credits: 3
Regression Methods for the Health SciencesA second course in regression modeling for public health, including models for binary outcomes, count outcomes, survival/censored outcomes, and data collected from complex survey designs.
Prerequisites: PUBHBIO 6211, or permission of instructor.
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PUBHBIO 6260Credits: 1
Ethics in BiostatisticsThe course examines ethical challenges related to research design, data collection, data integrity and stewardship, data analysis and interpretation, and data reporting in the conduct of public health and biomedical research. Through presentation of historical and current case studies we discuss ethical concerns commonly faced by biostatisticians and provide tools to address future quandaries. Prerequisites: Prerequisites: Enrollment in MPH-Biostatistics specialization, or MS-Biostatistics specialization, or Interdisciplinary PhD in Biostatistics, or permission of instructor
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PUBHBIO 6270Credits: 2
Introduction to SAS for Public Health StudentsIntroduction to programming using SAS software to accomplish Prerequisites: Grad standing in PUBHLTH, or permission of instructor. Not open to students with credit
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for STAT 5740, or 6740. |
PUBHBIO 7193Credits: 1‐6
Individual Studies in BiostatisticsIndependent study in Biostatistics. Prerequisites: Permission of instructor.
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PUBHBIO 7194Credits: 1‐3
Group Studies in BiostatisticsGroup studies in biostatistical methods. Format will include Prerequisites: Permission of instructor.
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PUBHBIO 7215Credits: 2
Design and Analysis of Clinical TrialsDesign, monitoring, and analysis of clinical trials; includes protocol development, randomization schemes, sample size Prerequisites: Stat 5301, or PUBHBIO 6210, PUBHLTH 6001 or equiv; or permission of instructor.
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PUBHBIO 7220Credits: 3
Applied Generalized Linear Models in Public HealthIntroduce students to generalized linear models (GLMs) for categorical and discrete data and their application in clinical and public health research. Prerequisites: PUBHBIO 6211 or permission of instructor
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PUBHBIO 7225Credits: 3
Survey Sampling MethodsSampling from finite populations, simple random, stratified, systematic and cluster sampling design, ratio and regression Prerequisites: PUBHBIO 6211, or Stat 5301 or equiv.
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PUBHBIO 7230Credits: 3
Applied Longitudinal Data AnalysisStatistical models and methods for the analysis of data arising Prerequisites: 6211, or Stat 6450, or Stat 6950
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PUBHBIO 7235Credits: 3
Applied Survival AnalysisIntroduction to time‐to‐event data analysis. Kaplan‐Meier estimation, log rank tests, proportional hazards regression analysis for censored or truncated data with extensions to time‐ dependent covariates and model building. Prerequisites: PUBHBIO 6211 or STAT 6450 or STAT 6950 or permission of instructor. Not open to students with credit for STAT 6605
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PUBHBIO 7240Credits: 3
Applied Statistical Analysis with Missing DataModels and methods for the dataset with missing values, including imputation, likelihood‐based, and Bayesian models. Prerequisites: 6211, or Stat 6201, or 6302, or 6802, or 6302, or 6450, or 6950 or permission of instructor.
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PUBHBIO 7245Credits: 2
Biostatistical CollaborationBasic biomedical research methodologies; collaborate with biomedical researchers to design experiments and plan analyses; protocol preparation; professional skills Prerequisites: Not open to students with credit for STAT 7755 (PUBHBIO 709). Cross‐listed in Stat 7755 (Biostat 709).
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PUBHBIO 7250Credits: 1‐6
Special TopicsRegular class on special topics in biostatistics. Format will include lectures, readings, presentations and discussions in an area of special interest to students and faculty. Prerequisites: Permission of instructor.
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PUBHBIO 7255Credits: 3
Introduction to Causal Inference in Health Science ResearchThis is an introduction course to the commonly used statistical methods for causal inference. The course starts with potential outcome framework as the conceptual foundation for inferring Prerequisites: B‐ or higher in PUBHBIO 6211, or permission of instructor
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PUBHBIO 7899Credits: 1‐3
Seminar in BiostatisticsSeminar on topics that are relevant to students enrolled in Prerequisites: Grand standing in Public Health and permission of instructor.
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PUBHBIO 8230Credits: 3
Advanced Longitudinal Data AnalysisClassical and modern statistical approaches for continuous and discrete longitudinal data. Random effects and growth curve models, measurement error, generalized estimating equations, estimation with missing data, multivariate longitudinal data. Prerequisites: STAT 6802 (622) and 6950 (645). Not open to students with credit for STAT 7470 (726)
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PUBHBIO 8235Credits: 3
Advanced Regression Modeling of Time‐to‐Event DataAdvanced topics in survival analysis. Proportional hazards models, parametric regression models, length‐bias and prevalent sampling, multivariate survival analysis, counting Prerequisites: STAT 6802 (622) and 6950. Not open to students with credit for 706 or STAT 7605. Cross‐ listed with STAT 7605.
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PUBHBIO 8450Credits: 3
Stochastic Epidemic ModelsIntroduces the basic methods for analyzing large population epidemic data from the viewpoint of the stochastic processes theory. The course will cover the basic SIR (susceptible‐ infective‐removed) epidemic models both under the homogenous and restricted contact structures. Prerequisites: STAT 6801, 6540 or 7540; or permission of instructor.
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PUBHBIO 8899Credits: 1‐3
Doctoral Seminar in Public Health BiostatisticsSeminar for doctoral students in Biostatistics. Repeatable to a maximum of 9 cr hrs or 9 completions. This course is graded S/U. Prerequisites: Permission of instructor.
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