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:
 Inperson
 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; 140.611612; 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 ttests for differences in group means
 Describe the appropriate use of paired and unpaired ttests and the interpretation of the resulting STATA output
 Use STATA to perform a chisquared test and compute confidence intervals for differences in group proportions, relative risks and odds ratios
 Describe the appropriate use of chisquared 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 inperson section (140.613.11) and a synchronous online section (140.613.49). Please choose the modality you need (either inperson or online) when registering in SIS.