340.600.11
Stata Programming
Location
East Baltimore
Term
Summer Institute
Department
Epidemiology
Credit(s)
2
Academic Year
2017 - 2018
Instruction Method
TBD
Start Date
Monday, June 12, 2017
End Date
Friday, June 16, 2017
M, Tu, W, Th, F, 8:30am - 12:00pm
Auditors Allowed
No
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Dorry Segev
Allan Massie
Contact Name
Frequency Schedule
Every Year
Resources
Prerequisite
Basic knowledge of Stata syntax and commands, or strong familiarity with another statistical programming language (e.g. R, SAS)
Teaches Stata programming in a systematic way to students who have had exposure to Stata or another statistical package, but may not have the tools to perform complex analytical projects independently. Covers data management, programming concepts, procedural programming, Stata-specific commands and constructs, and project workflow.
Learning Objectives
Upon successfully completing this course, students will be able to:
- Demonstrate STATA commands that are necessary for analysis, but that students may not encounter in the core biostatistics/epidemiology series: reshape, collapse, encode, insheet; variable formats (strings, ints, floats, dates); factor variables; advanced graphing
- Produce STATA programming to make work more efficient and less error-prone: loops; macros, .ado files; text file output; automating table/figure generation
- Create project workflow so that data are not lost and results are reproducible: logging, commenting, versioning, file organization
Enrollment Restriction
Basic knowledge of Stata syntax and commands, or strong familiarity with another statistical programming language (e.g. R, SAS)