140.613.79
Data Analysis Workshop I
Location
Internet
Term
Summer Institute
Department
Biostatistics
Credit(s)
2
Academic Year
2024 - 2025
Instruction Method
Synchronous Online
Start Date
Monday, June 10, 2024
End Date
Friday, June 14, 2024
M, Tu, W, Th, F, 1:30 - 5:00pm
Auditors Allowed
No
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Contact Name
Frequency Schedule
Every Year
Resources
Prerequisite
Experience in using a statistical analysis package; 140.611-612; or equivalent experience
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. Learns basic methods of data organization/management and simple methods for data exploration, data editing, and graphical and tabular displays. Includes additional topics: comparison of means and proportions, simple linear regression and correlation.
Learning Objectives
Upon successfully completing this course, students will be able to:
- Create, save and edit STATA datasets, log files and do files
- Use STATA to perform exploratory data analysis for continuous and dichotomous variables
- Use STATA do files to create reproducible analyses
- Explain 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
- Describe 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
- Describe the appropriate use of chi-squared tests and the interpretation of the resulting STATA output
- Use STATA to visualize relationships between two continuous measures
- Use STATA to fit simple linear regression models, and interpret relevant estimates from the results
Methods of Assessment
This course is evaluated as follows:
- 60% Lab Assignments and Quizzes
- 40% Final Project
Students must have a computer with Stata installed.