140.613.20
Data Analysis Workshop I
Location
East Baltimore
Term
Summer Term
Department
Biostatistics
Credit(s)
2
Academic Year
2012 - 2013
Instruction Method
TBD
Start Date
Wednesday, July 25, 2012
End Date
Thursday, July 26, 2012
W, Th, 8:30am - 5:00pm
Auditors Allowed
No
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Contact Name
Frequency Schedule
One Year Only
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. 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. Additional topics include comparison of means and proportions, simple linear regression and correlation. Enrollment limited: students must have a laptop computer with Stata 8 installed.
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 continous 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
Enrollment Restriction
Pacific Rim DrPH students only