140.613.11
Data Analysis Workshop I
- Location:
- East Baltimore
- Term:
- Summer Inst. term
- Department:
- Biostatistics
- Credits:
- 2 credits
- Academic Year:
- 2022 - 2023
- Instruction Method:
- In-person
- Dates:
- Mon 06/13/2022 - Fri 06/17/2022
- Class Times:
-
- M Tu W Th F, 1:30 - 5:00pm
- Auditors Allowed:
- No
- Undergrads Allowed:
- No
- Grading Restriction:
- Letter Grade or Pass/Fail
- Course Instructor:
-
- Jenna Krall
- Contact:
- Ayesha Khan
- Resources:
- Prerequisite:
Experience in using a statistical analysis package; 140.611-612; or equivalent experience
- Description:
-
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
- Instructor Consent:
No consent required
- Special Comments:
Students must have a computer with Stata installed. 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.