Skip Navigation

Course Directory

Advanced Data Analysis Workshop


East Baltimore
1st term
2 credits
Academic Year:
2022 - 2023
Instruction Method:
In-person, Live to Classroom
Auditors Allowed:
Undergrads Allowed:
Grading Restriction:
Letter Grade or Pass/Fail
Course Instructor:
Judith Holzer

Data Analysis Workshops I and II (140.613 and 140.614)


Covers methods for the organization, management, exploration, and statistical inference from data derived from multivariable regression models, including linear, logistic, Poisson and Cox regression models. Students apply these concepts to two or three public health data sets in a computer laboratory setting using STATA statistical software. Topics covered include generalized linear models, product-limit (Kaplan-Meier) estimation, Cox proportional hazards model.

Learning Objectives:

Upon successfully completing this course, students will be able to:

  1. Conduct a simple linear, logistic or survival regression and correctly interpret the regression coefficients and their confidence interval
  2. Conduct a multiple linear, logistic or survival regression and correctly interpret the coefficients and their confidence intervals
  3. Examine residuals and adjusted variable plots for inconsistencies between the regression model and patterns in the data and for outliers and high leverage observations
  4. Fit and compare different models to explore the association between outcome and predictor variables in an observational study
Methods of Assessment:

This course is evaluated as follows:

  • 40% Quizzes
  • 60% Final Exam

Enrollment Restriction:

Part-time DrPH students in the Tsinghua cohort only

Instructor Consent:

Consent required for all students

Consent Note:

Restricted to students in the Tsinghua DrPH cohort only

For consent, contact:

Special Comments:

This course will be offered over a 4-day period. Students may be required to complete assignments prior to the start of class.