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340.600.11
Stata Programming

Location:
Online/Virtual
Term:
Summer Inst. term
Department:
Epidemiology
Credits:
2 credits
Academic Year:
2021 - 2022
Instruction Method:
Synchronous Online
Dates:
Mon 06/28/2021 - Fri 07/02/2021
Class Times:
  • M Tu W Th F,  8:30am - 12:00pm
Auditors Allowed:
No
Grading Restriction:
Letter Grade or Pass/Fail
Course Instructor:
Contact:
Ayesha Khan
Resources:
Prerequisite:

Basic knowledge of Stata syntax and commands, or strong familiarity with another statistical programming language (e.g. R, SAS)

Description:

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:

  1. 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
  2. Produce Stata programming to make work more efficient and less error-prone: loops; macros, .ado files; text file output; automating table/figure generation
  3. Create project workflow so that data are not lost and results are reproducible: logging, commenting, versioning, file organization
Methods of Assessment:

This course is evaluated as follows:

  • 90% Homework
  • 10% Participation

Enrollment Restriction:

Basic knowledge of Stata syntax and commands, or strong familiarity with another statistical programming language (e.g. R, SAS)

Instructor Consent:

No consent required

Special Comments:

Course will be taught online via Zoom, on the dates and times the course is scheduled.