Biostatistics and Epidemiology - Graduate Courses
Introduction to Biostatistics
Ìý |
Application of statistical techniques with particular emphasis on problems in the biomedical sciences. IncludedÌý inÌý thisÌý courseÌý are data collection and presentation; basic probability theory, the concept of populationsÌýÌý andÌýÌý samples, confidenceÌý intervals;Ìý testÌý ofÌý significance,ÌýcorrelationÌý andÌý regression, analysis of variance; and nonparametric methods. |
Advanced Biostatistics
Ìý |
Application of advancedÌý statistical techniques with particular emphasis on problems in the biomedical sciences. Included in the course are multiple regression, methodsÌý of analysis of variance, categorical data analysis including logistic regression, nonparametric, survivalÌý analysis and multivariate methods. Problems whose solutions involve using a statistical program (SAS or SPSS). The applied portion of theÌý courseÌý is tailoredÌý accordingÌý to the need of the students registering for the course. Students fromÌý a wide variety ofÌý programs at MUO, ¹û¶³´«Ã½ and BGSU are usually registering for this course. |
SCHEDULED TEACHING ASSIGNMENTS
Summer:
PUBH603 Advanced EpidemiologyÌý (PDF file of course descriptions)
Course
coordinator
PUBH617 Molecular and Genomic EpidemiologyÌý
(PDF file of course descriptions)
Course coordinator
INDI 534 Statistical Method I
Course Coordinator
Fall:
BIPG520/720 Statistical Method in BioinformaticsÌýÌý Ìý
Course
Coordinator
PUBH611 Categorical Data AnalysisÌý (PDF file of course descriptions)
Course
coordinator
PUBH600 Public Health StatisticsÌý (PDF file of course descriptions)
PUBH 612 Epidemiology of Infectious DiseasesÌý (PDF file of course descriptions)
Spring:
PUBH601 Advanced StatisticsÌý (PDF file of course descriptions)
Course
coordinator -Teaching Effort: 100%
PUBH601 Clinical EpidemiologyÌý
(PDF file of course descriptions)
Course coordinator -Teaching Effort: 100%
PUBH601 Public Health EpidemiologyÌý (PDF file of course descriptions)
Teaching
Effort: 20%
Applications BIPG 640 Application of Bioinformatics, Proteomic and
GenomicsÌýÌý
Teaching Effort: 10%
UNSCHEDULED TEACHING ASSIGNMENTS
Independent study in statistics
Independent study in epidemiology
Independent study in bioinformatics