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## The use of Stata 11 for data analysis

#### February 21–25, 2011 Tshwane University of Technology, Pretoria, South Africa

This course suits the needs of people who analyze statistical datasets and produce technical reports. The course is offered as a five-day short course on basic statistical methods and the use of Stata 11.

Learning outcomes
After completion of this course, the learner should be able to perform these tasks: data entry, manipulation, and analysis in Stata in areas related to descriptive statistics; one-sample tests; two-sample tests; chi-square tests of association; the analysis of variance; simple and multiple linear regression analysis; binary and multinomial logistic regression analysis; nonparametric methods; and sample size determinations.

The following topics will be covered using Stata 11:

• Data entry in Stata 11
• Manipulating data (recoding, generating new variables, renaming, importing, exporting, log-files, do-files, etc.)
• Descriptive statistics and graphs
• One-sample tests and confidence intervals
• Two-sample tests and confidence intervals
• Simple and multiple linear regression analysis
• Nonparametric tests for one- and two-sample tests
• Binary and multinomial logistic regression analysis
• Estimation of adjusted odds ratios
• One-way analysis of variance (ANOVA)
• Repeated-measures analysis of variance
• Determination of the sample size of a study

Who should attend

• All researchers and students (biostatistics, economics, engineering, environmental sciences, epidemiology, hygiene and safety, medicine, occupational medicine, public health, etc.) who wish to acquire basic skills in the use of Stata 11 for the analysis of datasets and the production of research reports and articles
• Monitoring and evaluation practitioners and database administrators

The level of the course requires a first degree or national diploma in the social, behavioral or natural sciences, public health, medicine, or fields related to research. Exceptions are made for people who have comparable experience in statistics.

Presenter
The course shall be offered by Dr. Zeleke Worku, an associate professor of statistics at the School of Business of Tshwane University of Technology (TUT) in Pretoria, South Africa.

Course structure and venue
Learners attend a five-day short course presented on the main campus of Tshwane University of Technology in Pretoria.

Assessment
A TUT certificate of competence will be awarded upon the successful completion of assessment activities as outlined on page 11 of the Study Guide.

Course fee (no VAT payable)
The course fee is R8,500.00 per learner and includes comprehensive course notes, textbooks, computer lab fees, lunch, and refreshments. The fee excludes travel, accommodation, and subsistence allowance.

Enrollment
The enrollment form can be downloaded here, and should be sent to Riana Knighton at KnightonR@tut.ac.za

Inquiries regarding content
Riana Knighton
Tshwane University of Technology
Telephone: (012) 382 3003
Fax: (012) 382 3051
Email: KnightonR@tut.ac.za