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Summer School in Biostatistics
The University of Pretoria's School of Health Systems and Public Health (SHSPH) is inviting all researchers in clinical medicine, epidemiology, community health and biomedical or bioveterinary sciences to enrol in their Summer School in Biostatistics courses!
The Summer School in Biostatistics consists of 4 courses aimed at both new as well as experienced medical researchers.
For new and young researchers the first week will focus on an introduction to Biostatistics as well as an introductory course in using Stata 11 software.
For more advanced researchers or people with a basic training in biostatistics there will be a course on survival analysis using Stata 11 int the second week.
Please download the Summer School in Biostatistics brochure [0.5MB] for enquiry details, costs and course outlines.
Enrolment form [0.1MB]
The Use of Stata for Data Analysis
This course is designed to suit the needs for people whose job is to analyze statistical data sets and produce technical reports. The course is offered as a five-day short course on basic statistical methods and the use of the statistical package Stata.
Learning outcomes:
After completion of this course the delegate should be able to perform 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, non-parametric methods and sample size determinations.
The following topics will be covered using Stata:
- Data entry in Stata
- Manipulating data (recoding, generating new variables, renaming, import, export, 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
- Non-parametric tests for one and two-samples
- Binary and multinomial logistic regression analysis
- Estimation of adjusted odds ratios
- The one-way analysis of variance (ANOVA)
- Repeated measures analysis of variance
- Determination of the sample size of study
Who should attend:
- All researchers and students (economics, environmental sciences, public health, medicine, epidemiology, biostatistics, engineering, occupational medicine, hygiene and safety, etc) who wish to acquire basic skills in the use of Stata for the analysis of data sets and the production of research reports and articles.
- Monitoring and Evaluation practitioners and database administrators
- BSc graduates who wish to pursue postgraduate studies
Admission requirements:
The level of the course requires a first degree or national diploma in the social, behavioural or natural sciences, public health, medicine, or fields related to research. Exceptions are made for people who have a 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:
Delegates 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 Study Guide.
Course fee (No VAT payable):
The course fee is R8,500.00 per delegate and includes comprehensive course notes, text books, 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
Enquiries regarding content:
Riana Knighton
Departmental Administrator
Business School
Tshwane University of Technology
Tel. +27 12 382 3003
Fax. +27 12 382 3051
E-Mail: KnightonR@tut.ac.za
Course brochure [95KB]
Course syllabus [16KB]
Enrollment form [51KB]
Bank details of TUT [91KB]