Data Analysis Workshop I
June 13-17, 2022
1:30 p.m. – 5:00 p.m.
Course Number: 140.613.11 (onsite)
This is a hybrid course with both an in-person section (140.613.11) and a synchronous online section (140.613.49). Please choose the modality you need (either in-person or online) when registering in SIS.
"John has never disappointment me in his excellent instructional skills. He is a subject matter expert! An incredible knowledge gain for the last 5 days during the course. Great job!"—Student, 2019
"Absolutely fantastic professor, one of the best I have had. Many of us said we wished we could have him for everything. Very engaging, approachable, and willing to take the time to explain things."—Student, 2018
Intended for students with a broad understanding of biostatistical concepts used in public health sciences who seek to develop additional data analysis skills. Emphasizes concepts and illustration of concepts applying a variety of analytic techniques to public health datasets in a computer laboratory using Stata statistical software. In the first workshop (140.613), students learn basic methods of data organization/management and simple methods for data exploration, data editing, and graphical and tabular displays. Also covered basic statistical methodology including the comparison of means and proportions. Enrollment limited: students must have a laptop computer with Intercooled Stata 14 or Intercooled 15 installed.
Student Evaluation: Student evaluation based on laboratory exercises, an exam, and completion of an independent data analysis project.
Learning Objectives: Upon successfully completing this course, students will be able to
Learn to create, save and edit Stata datasets, log files and do files
Use Stata to perform exploratory data analysis for continous and dichotomous variables
Use Stata do files to create reproducible analyses
Recognize the distinction between and appropriate uses of the binomial, poisson and normal probability models
Use Stata to perform paired and unpaired t-tests for differences in group means
Understand the appropriate use of paired and unpaired t-tests and the interpretation of the resulting Stata output
Use Stata to perform a chi-squared test and compute confidence intervals for differences in group proportions, relative risks and odds ratios
Understand the appropriate use of chi-squared tests and the interpretation of the resulting Stata output.
Prerequisite: 140.611 and 140.612 or equivalent
Grading Options: Letter Grade or Pass/Fail
Special Comments: Students must have a laptop computer with Intercooled Stata 16 or 15 installed. Student discounts are available for Intercooled Stata.
Course Materials: Provided in class