140.613.95
Data Analysis Workshop I
Location
Kyoto, Japan
Term
4th Term
Department
Biostatistics
Credit(s)
2
Academic Year
2023 - 2024
Instruction Method
In-person
Monday, 8:30am - 5:00pm
Tuesday, 8:30am - 5:00pm
Wednesday, 8:30am - 12:20pm
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; enrollment limited to 20 students enrolled in an SPH degree program
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
Enrollment Restriction
Enrollment restricted to students in the Kyoto MPH cohorts
Students must have a laptop computer with Stata installed. Course meeting times are: Monday, March 21 and Tuesday, March 22: 8:30 am – 5:00 pm; and Wednesday, March 23, 8:30 am – 12:30 pm