A two-day short course "Introduction to Stata" will take place in the
Department of Social Medicine, University of Bristol from 10-11 October
2007, with an optional 3rd day on 12 October 2007.
For more information and details of how to book please see
http://www.epi.bris.ac.uk/shortc/introstata.htm
Tutors: Ross Harris, Becky Rooney (course organisers), Andy Judge, Roger
Harbord
Who the course is intended for: The course is intended for anyone who
wishes or needs to use Stata. No previous knowledge of Stata or of
statistics is required, although familiarity with Microsoft Windows will
be assumed. Students will gain the familiarity with Stata that is a pre-
requisite for several other courses in this programme.
Objectives/course outline: By the end of the course students should be
able to use Stata 8-9 to:
Input data from a variety of sources;
Add labels to a dataset to make it self-documenting;
Check data for spurious entries;
Recode variables and derive new variables from existing ones;
Combine two or more datasets;
Produce summary statistics, tables and graphs;
Find online help about a given topic or command;
Keep a record of their work and ensure it is reproducible.
Optional 3rd day: These objectives will be covered in days 1-2. An
optional 3rd day is also available for those wishing to bring their own
datasets and work on particular issues they are facing with the guidance
of the course tutors. This day has no formal structure and depends on the
requirements of the group; for example, if several people express an
interest in using more complex graph commands, then this may be covered in
more depth. Please note once more that the purpose of this course is data
management and exploration, and in-depth problems to do with statistical
analysis cannot be covered. This session will only run if there is
sufficient demand: please indicate if you wish to attend, and your
requirements so that we can plan topics of particular interest. A short
paragraph describing your data and the problems you anticipate would be
useful- and of course, make sure you bring your data!
Teaching time: Twelve hours, consisting of practical sessions and short
tutorials.
Course fee: £300 for two days £450 for 3 days
|