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): Veera Baladandayuthapani, 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 | Perform generalized linear regression model fitting and diagnosis | BIOSTAT651 | BIOSTAT | PhD | Perform generalized linear regression model fitting and diagnosis | 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, Jeremy Taylor, Philip Boonstra, (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 | Interpret the results of statistical analysis in a variety of health-related areas (e.g. public health, medicine, genetics, biology, psychology, economics, management and policy, nursing, or pharmacy) for the broad scientific community | BIOSTAT699 | BIOSTAT | MS | Communicate statistical analysis through written scientific reporting for public health, medical, and basic scientists, and/or educated lay audiences | BIOSTAT699 | BIOSTAT | PhD | Communicate through written and oral presentation based on statistical analysis for 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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