140.608.98
Analysis of Longitudinal Data

Location
Barcelona, Spain
Term
2nd Term
Department
Biostatistics
Credit(s)
2
Academic Year
2018 - 2019
Instruction Method
TBD
Start Date
Monday, November 12, 2018
End Date
Tuesday, November 13, 2018
Class Time(s)
M, Tu, 8:30am - 6:00pm
Auditors Allowed
No
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Elizabeth Colantuoni
Contact Name
Judy Holzer
Frequency Schedule
One Year Only
Next Offered
Only offered in 2018
Prerequisite

Intermediate level biostatistics and epidemiology

Description
Covers statistical models for drawing scientific inferences from longitudinal data. Topics include longitudinal study design; exploring longitudinal data; linear and generalized linear regression models for correlated data, including marginal, random effects, and transition models; and handling missing data.
Learning Objectives
Upon successfully completing this course, students will be able to:
  1. Prepare graphical or tabular displays of longitudinal data that effectively communicate the patterns of scientific interest
  2. Use a general linear model to make scientific inferences about the relationship between response and explanatory variables while accounting for the correlation among repeated responses for an individual
  3. Use marginal, random effects, or transitional generalized linear models to make scientific inferences when the repeated observations are binary, counts, or non-Gaussian continuous observations
  4. Use SAS or STATA to conduct the appropriate longitudinal data analyses
Enrollment Restriction
undergraduate and interdivisional students are not permitted in this section
Instructor Consent
Consent required for some students
Consent Note
Full-time degree-seeking students must obtain permission from Judy Holzer prior to registering for this section
Consent Contact
judith.holzer@jhu.edu
Special Comments

This course will be offered for 2 days in Barcelona. Students must physically be in Barcelona to participate. Students will be required to complete homework assignment between first and second day. Final paper will be due by Dec 21, 2018. Strongly recommended that students bring a laptop to class, but a computer lab will be available.