Skip to main content

140.620.20
Advanced Data Analysis Workshop

Location
East Baltimore
Term
1st Term
Department
Biostatistics
Credit(s)
2
Academic Year
2019 - 2020
Instruction Method
TBD
Start Date
Thursday, October 3, 2019
End Date
Friday, October 4, 2019
Class Time(s)
Th, F, 8:30am - 5:20pm
Auditors Allowed
No
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Contact Name
Frequency Schedule
Every Year
Prerequisite

Data Analysis Workshops I and II (140.613 and 140.614)

Description
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
Special Comments

This course will be offered over a 2-day period in Baltimore. Students may be required to complete assignments prior to the start of class.