Catalogue of Modules, University of Nottingham

A34593 Data organisation and management in epidemiology (DOME): A practical course in Stata
(Last Updated:03 May 2017)

Year  17/18

Total Credits: 10

Level: Level 4

Target Students:  Available as an optional module for students taking the Master of Public Health and (MPH) International Health Degrees. Spare places will be available to new staff and PhD students in School of Medicine who require training in Stata as part of their research role. There is a limited number of places on this module. Students are reminded that enrolments which are not agreed by the Offering School in advance may be cancelled without notice.
  LBR Module

Taught Semesters:

Autumn Assessed by end of Autumn Semester 

Prerequisites: None.

Corequisites:  None.

Summary of Content:  The module will focus on the process of creating a dataset suitable for analysis (from source data in a non-Stata format) rather than on the analysis itself. It will provide a practical introduction to the Stata statistical package and demonstrate how 'do files' and ‘ado files’ can be used to carry out repetitive tasks. Taught by a mixture of practical computer sessions and mini-lectures supplemented by self-directed learning outside of contact time to consolidate the learning experience. The ten sessions will specifically cover the following topics • Data Types (and Introduction to Stata) • Entering and Importing data • Changing the layout of your data • Stratification and subsets • Assessment clinic • In-class timed examination (or assessment) • Organising your work and Saving Time • Advanced Automation • Writing New Commands • Revision Session The In-class examination will be a short timed in-class assessment (2 hours) based on material covered in the first four sessions. In the assessment clinic, students will have the opportunity to ask the instructors to go over topics and practice questions before the in-class exam. The final revision session will contain a revision of material covered in sessions 7 to 9. Some module material (for sessions 1-4) will be based on the following book; Data Management Using Stata: A Practical Handbook (author Michael N. Mitchell, Publisher Stata Press).

Method and Frequency of Class:

ActivityNumber Of WeeksNumber of sessionsDuration of a session
Lecture 7 weeks1 per week4 hours

Activities may take place every teaching week of the Semester or only in specified weeks. It is usually specified above if an activity only takes place in some weeks of a Semester

Further Activity Details:
10 weekly 4-hr sessions plus 60 hours private study. In addition to the exam and coursework there will be seven weekly homework tasks (formative assessment).

Method of Assessment: 

Coursework 2 65 Create dataset from existing database (out-of-class assessment) 
Inclass Exam 1 (Written) 35 2 hour test of material covered in first 4 sessions (in-class assessment) 

Dr M Grainge
Dr J Gibson

Education Aims:  

For students to become proficient in the use of Stata for organising and manipulating data. This will include an understanding of the importance of adequate data management prior to the commencement of statistical analysis and how to use Stata’s advanced functionality to ensure that data management is carried out efficiently and with the potential for errors minimised.

Learning Outcomes:  

Knowledge and understanding

Intellectual skills

Professional practical skills

Transferable skills

Information technology skills

Offering School:  Medicine

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