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Department: Biostatistics
Term: 3rd term
Credits: 4 credits
Contact: John McGready
Academic Year: 2014 - 2015
Course Instructors:

Presents use of generalized linear models for quantitative analysis of data encountered in public health and medicine. Specific models include analysis of variance, analysis of covariance, multiple linear regression, logistic regression, and Cox regression.

Learning Objective(s):
Upon successfully completing this course, students will be able to:
Use statistical reasoning to formulate public health questions in quantitative terms 1.1 Critique a proposed public health hypothesis to determine its suitability for testing using regression methods and the available data; 1.2 Formulate and correctly int
Conduct statistical computations and construct graphical and tabular displays for regression analysis 2.1 Use the statistical analysis package STATA to perform multivariable regression models; 2.2 Document and archive the steps of their statistical analys
Use probability models to describe trends and random variation in public health data 3.1 Distinguish between the underlying probability distributions for modeling continuous, categorical, binary and time-to-event data; 3.2 Recognize the key assumptions un
Use statistical methods for inference in multiple regression to draw valid public health inferences from data [4.1 Conduct a simple linear, logistic or survival regression and correctly interpret the regression coefficients and their confidence interval]

Methods of Assessment: Student evaluation based on problem sets and exams.
Location: East Baltimore
Class Times:
  • Tuesday 10:30 - 11:50
  • Thursday 10:30 - 11:50
Enrollment Minimum: 10
Enrollment Restriction: For PhD, ScM and MHS degree candidates in departments to be determined
Instructor Consent: Consent required for some students

Consent required for non-PH students

For consent, contact:


Auditors Allowed: Yes, with instructor consent
Grading Restriction: Letter Grade or Pass/Fail
Special Comments: One 90-minute lab per week, lab is 140.923. As soon as you register for the course, please also register for one section of 140.923. Course Materials Fee is $40.00.