Courses Taught by Menggang Yu
BIOSTAT651: Theory and Application of Generalized Linear Models
- Graduate level
- Residential
- Winter term(s) for residential students;
- 3 credit hour(s) for residential students;
- Instructor(s): Menggang Yu (Residential);
- Prerequisites: BIOSTAT601 and BIOSTAT650
- Description: Introduction to maximum likelihood estimation; exponential family; proportion, count and rate data; generalized linear models; link function; logistic and Poisson regression; estimation; inference; deviance; diagnosis. The course will include application to real data.
- Syllabus for BIOSTAT651

| Department | Program | Degree | Competency | Specific course(s) that allow assessment | BIOSTAT | MS | Understand the main components of generalized linear models and how to choose an appropriate model based on the outcomes and study design | BIOSTAT651 | BIOSTAT | MS | Fit generalized linear models for various outcome types and provide correct interpretation of the results | BIOSTAT651 | BIOSTAT | Health Data Science | MS | Understand the main components of generalized linear models and how to choose an appropriate model based on the outcomes and study design | BIOSTAT651 | BIOSTAT | Health Data Science | MS | Fit generalized linear models for various outcome types and provide correct interpretation of the results | BIOSTAT651 |
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BIOSTAT699: Analysis of Biostatistical Investigations
- Graduate level
- Residential
- Winter term(s) for residential students;
- 4 credit hour(s) for residential students;
- Instructor(s): Menggang Yu, Jean Morrison, Kevin (Zhi) He, (Residential);
- Prerequisites: Registration for last term of studies to complete MS or MPH
- Description: Identifying and solving design and data analysis problems using a wide range of biostatistical methods. Written and oral reports on intermediate and final results of case studies required.
- Syllabus for BIOSTAT699



| Department | Program | Degree | Competency | Specific course(s) that allow assessment | BIOSTAT | MS | Analyze, interpret, and communicate through written and oral presentation the results of a statistical analysis of biomedical data to an audience from a variety of health-related areas (e.g. public health, medicine, genetics, biology, psychology, nursing, or pharmacy) and for the broad scientific community | BIOSTAT699 |
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