View all department course descriptions.
View current course offerings at the Office of the Registrar. BIOSTATISTICS
BIOS 603 INTRODUCTORY BIOSTATISTICS (3)
Introduction to statistical methodology in the health field. Topics covered include presentation of data (graphs and tables), descriptive statistics, concepts of probability, estimation of parameters, hypothesis testing, simple linear regression, correlation, and the analysis of attribute data. The course provides students a firm foundation in statistical methods.
BIOS 604 INTERMEDIATE BIOSTATISTICS (3)
Prerequisites: BIOS 603 or equivalent and BIOS 623, BIOS 624, or equivalent.
This is a second course in applied biostatistics. It covers one-way and two-way analysis of variance, repeated measures designs, simple and multiple regression and correlation analyses, analysis of covariance, and logistic regression.
BIOS 622 DATABASE MANAGEMENT IN THE HEALTH SCIENCES (3)
Prerequisites: BIOS 620 or equivalent.
Advanced programming techniques required in the maintenance of large data sets typical of health-related data systems, techniques of data file design, creation, maintenance, manipulation, updating, and retrieval for analysis by statistical packages. Methodology is illustrated with ACCESS, SAS, and SPSS. Utilities for communication between computers are discussed.
BIOS 623, 624 COMPUTER PACKAGES FOR STATISTICAL ANALYSIS (1 credit each)
Use of statistical packages (623: SAS; 624: SPSS) and an introduction to mainframe computing with transmission of data. At least one course is strongly recommended for all students who take advanced statistical courses.
BIOS 628 INTRODUCTION TO STATA (1)
Offered only when needed, this course is an introduction to the statistical computing package, STATA.
BIOS 630 INTRODUCTION TO ArcGIS (1)
This course provides the foundation for becoming a successful ArcView®, ArcEditor™, or ArcInfo™ user. This course covers fundamental Geographic Information Systems (GIS) concepts as well as how to query a GIS database, manipulate tabular data, edit spatial and attribute data, and present data clearly and efficiently using maps and charts at the introductory level. Participants learn how to use ArcMap™, ArcCatalog™, and ArcToolbox™ and explore how these applications work together to provide a complete GIS software solution. The course materials authorized by Environmental Systems Research Institute (ESRI), the producer of ArcGIS software, are taught by ESRI-authorized instructors. A fee covering the course materials is required. Two forms of enrollment are available, either as a certificate enrollee or for credit (1 hour). The course is taught in several formats – once a week per period or as a two-day intercession course.
BIOS 680 INTRODUCTION TO PUBLIC HEALTH GIS (3)
Prerequisites: BIOS 603, BIOS 622.
This course is an introduction to desktop mapping using ESRI's (Environmental Systems Research Institute) ArcView 8.X. The course covers geographic concepts as they apply to geographic information systems (GIS) and provides a basic understanding of mapping applications as a research and data evaluation tool in a public health environment. The student will develop a public health GIS project that requires the synthesis of skills and application of ArcView.
BIOS 706 REGRESSION ANALYSIS (3)
Prerequisites: BIOS 603, 604, BIOS 623 or BIOS 624.
Intermediate course in data analysis. Topics include multiple linear regression, dummy variables in regression, analysis of residuals, comparison of slopes, analysis of covariance, data transformations, and one- and two-way ANOVA. Use of SAS or SPSS.
BIOS 708 DESIGN OF EXPERIMENTS (3)
Prerequisites: BIOS 603, 604, and 623 or 624.
Topics include simple and multiple linear regression, matrix notation, analysis of variance and quadratic forms, variable selection, polynomial regression, class (dummy variables, Analysis of Covariance, and regression diagnosis. SAS or SPSS required.
BIOS 709 ADVANCED DESIGN OF EXPERIMENTS (3)
Prerequisites: BIOS 603, 604, and 708.
More advanced topics than BIOS 708, such as statistical analyses and constructions of balanced and partial balanced incomplete block designs, Latin square designs, Youden designs, fractional factorial and main effect designs, weighing designs, bioassay and surface response designs, and designs for diallel crossing.
BIOS 715 CATEGORICAL DATA ANALYSIS (3)
Prerequisites: BIOS 604, 623 or 624 or equivalent.
Techniques appropriate for analysis of categorical data including chi-square statistics, tests for fourfold tables, and logistic regression. Use of statistical package.
BIOS 716 ADVANCED CATEGORICAL DATA ANALYSIS (3)
Prerequisites: BIOS 603, 604 and BIOS 715.
This course is a sequel to BIOS 715 Categorical Data Analysis. Topics covered include polytomous outcome variables, continuous predictors, multiple outcome variables, panel data, impact of study design, and latent class analysis.
BIOS 722 NONPARAMETRIC STATISTICS (3)
Prerequisites: BIOS 604.
Introduces statistical techniques that can be applied to samples that come from populations having a wide class of distributions. Comparisons with parametric tests will be made. Topics include methods for single samples, paired and independent samples, and regression. Spring. Use of statistical package.
BIOS 725 PRINCIPLES OF SAMPLING (3)
Prerequisite: BIOS 603.
Introduction to statistical sampling with emphasis on sample selection, methods of estimation, and techniques for calculating standard errors. Topics include: simple random sampling; stratified random sampling; systematic sampling; one, two, and multistage cluster sampling; and probability proportionate to size sampling. Use of statistical packages.
BIOS 730 STATISTICAL METHODS FOR SURVIVAL DATA ANALYSIS (3)
Prerequisites: BIOS 603, 604, 623 or 624 or equivalent.
Topics include analysis of survivorship data including estimation and comparison of survival curves, regression methods in the analysis of prognostic and etiologic factors, concepts of competing risks, and the analysis of clinical trial data. Software used for problem solving. Emphasis placed on the application of methods to the analysis of public health data with examples of clinical trials, cancer survivorship, contraceptive continuation rates, and other data sets for which there is partial follow-up of subjects. Use of SPSS or SAS.
BIOS 740 CLINICAL TRIALS (3)
Prerequisites: BIOS 604 and 623 or 624 or equivalent.
Topics include preparation of protocols, definition of objectives, population, treatment and endpoints, selection of appropriate study designs, computation of sample size and power, design of randomization procedures, interim data analysis methodology, ethical issues, early termination of trials and analysis of data arising in such trials. Content areas include cancer, cardiovascular, and pediatric diseases. Use of SPSS or SAS.
BIOS 742 PRINCIPLES OF MEASUREMENT (3)
Prerequisites: BIOS 603, 604, 623 or 624 or equivalent, 706.
Covers assessment of reliability and validity, development of scales using methods such as paired comparisons and summated ratings, use of factor analysis and multiple dimensional scaling in scale development, and assessment of published scales in the health fields.
BIOS 750 MONTE CARLO AND BOOTSTRAPPING METHODS (3)
Prerequisites: BIOS 604, BIOS 623 and/or basic computer skills and at least one other 700-level biostatistics course.
Methods used for Monte Carlo simulations and bootstrapping. Topics include how to design, program, and interpret a simulation study, Monte Carlo Markov Chain methods, Bayesian inference in Monte Carlo methods, uses of bootstrapping for estimation, jackknifing, and other resampling methods.
BIOS 760 ADVANCED EVALUATION RESEARCH (3)
Prerequisites: BIOS 603 and BIOS 604.
Designed for the advanced graduate student who is pursuing a career track in applied research. Topics covered include the specification of analytic models and research designs as well as the statistical techniques required to analyze quasi-experimental and observational data. Validity, research design, aggregation bias, model specification, analysis of covariance, time series analysis, and path analysis techniques will be covered.
BIOS 780 APPLIED DATA ANALYSIS (3)
Prerequisites: BIOS 604 and SAS and/or basic computer skills, and at least one 700-level biostatistics course.
This course introduces students to hands-on analysis and management. Students use real data to investigate how to formulate testable hypotheses, investigate and clean data, accommodate missing data, design and perform appropriate analyses, and keep written records of their analyses. Students also learn how to interpret and report the results of statistical analyses. Use of a statistical software package, preferably SAS, required.
BIOS 782 MULTIVARIATE METHODS (3)
Prerequisites: BIOS 603, 604, 623 or 624 or equivalent, and 706 or 708.
This is an applied course in multivariate analysis using the statistical software packages SAS and/or SPSS. Topics covered include: Hotelling T, multivariate regression and analysis of variance, profile analysis, discriminate analysis, principal components, factor analysis, and linear structural modeling.
BIOS 796 PREVENTIVE MEDICINE RESIDENCY (0)
Third-year/practicum
BIOS 799 INDEPENDENT STUDY (1-6)
BIOS 997 DISSERTATION (0)
BIOS 999 DISSERTATION RESEARCH (2)
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