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140.753.41
Advanced Methods in Biostatistics III

Location
Internet
Term
3rd Term
Department
Biostatistics
Credit(s)
4
Academic Year
2021 - 2022
Instruction Method
Synchronous Online
Class Time(s)
Tu, Th, 10:30 - 11:50am
Lab Times
Tuesday, 9:00 - 10:20am (01)
Auditors Allowed
No
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Contact Name
Frequency Schedule
Every Year
Prerequisite

140.751-752; Students must also register for 140.754

Description
Introduces generalized linear model (GLM). Foundational topics include: contingency tables, logistic regression for binary and binomial data, models for polytomous data, Poisson log-linear model for count data, and GLM for exponential family. Introduces methods for model fitting, diagnosis, interpretation and inference and expands on those topics with techniques for handling overdispersion, quasi-likelihood and conditional likelihood. Introduces the role of quantitative methods and sciences in public health, including how to use them to describe and assess population health, and the critical importance of evidence in advancing public health knowledge.
Learning Objectives
Upon successfully completing this course, students will be able to:
  1. Use generalized linear model (GLM) to analyze continuous, categorical and count data
  2. Construct, fit and interpret different types of GLM in the context of scientific and public health applications
  3. Understand connections and differences between logistic regression, Poisson log-linear regression and linear regression
  4. Conduct statistical inference in these models
  5. Diagnose model assumptions
  6. Deal with overdispersion in GLM
  7. Expand the model and inference tools with quasi-likelihood and conditional likelihood
  8. Extend linear model to account for clustering using random effects
  9. Apply theoretical concepts to scientific data using R software
  10. Improve computational and analytic skills through analysis of simulated and real data sets
  11. Explain the role of quantitative methods and sciences in describing and assessing a population’s health
  12. Explain the critical importance of evidence in advancing public health knowledge
Methods of Assessment
This course is evaluated as follows:
  • 60% Homework
  • 40% Final Exam
Special Comments

Please note: This is the virtual/online section of a course that is also offered onsite. Students will need to commit to the modality for which they register.