PUBHBIO 6270
Introduction to SAS for Public Health Students
Introduction to programming using SAS software to accomplish public health data management and analysis.
Prequisite(s): Graduate student standing in PUBHLTH or permission of instructor. Not open to students with credit for STAT 5740 or 6740.
PUBHBIO 6250
Regression Methods for the Health Sciences
A 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.
Prequisite(s): PUBHBIO 6211 or permission of instructor.
PUBHBIO 6211
Applied Biostatistics II
A 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.
Prequisite(s): Grade of B‐ or above in PUBHBIO 6210 or PUBHLTH 6001 or permission of instructor.
PUBHBIO 6210
Applied Biostatistics I
Theory and application of basic statistical concepts for design of studies in health sciences, integrated with statistical software applications.
Prequisite(s): Graduate student standing.
PUBHBIO 5280
Introduction to Genomic Data Analysis
Provides 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.
Prequisite(s): Junior standing or above. Math 1151 or 1156, STAT 2450 or 2480, and Biology 1113 or MolGen 5660 or Graduate student standing; or permission of instructor.
PUBHBIO 3193
Individual Studies in Biostatistics
Individual studies in Biostatistics focusing on applied topics.
Prequisite(s): Permission of instructor.
PUBHBIO 2210H
Honors Biostatistics for Public Health Research
Hands-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.
Prequisite(s): Honors standing or permission of instructor.
PUBHBIO 2210
Biostatistics for Public Health Research
Hands-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.
Prequisite(s): None.
Stanley Lemeshow honored at Summer Program
