Statistical Analysis of Health Research using STATA (18.0); Introduction and Advanced
Course Description:
STATA software is widely regarded as one of the best statistical analysis tools, particularly in medical research. It is extensively used in top-ranked universities worldwide, including those in the United States, England, and Europe. This software is very user-friendly and has very strong analytical capabilities. during this training course, participants will start by learning about STATA through the introduction of study data. The course covers descriptive analysis and addresses approximately 40 relevant research questions. The course covers statistical theories, including hypothesis testing (both parametric and non-parametric), and demonstrates how to apply them using STATA software. Participants will progress to univariate linear and multivariate regression. The introductory course concludes with instruction on creating simple graphs.
The advanced STATA training course focuses on analyzing binary outcomes using logistic regression, considering both univariate and multivariate risk factors. The course proceeds with one-way and two-way analysis of variance (ANOVA), including techniques for implementing interaction effects in the corresponding models. Participants will also learn about trend tests and the Mantel-Haenszel test. Finally, the course covers the analysis of ordered variable outcomes, considering both univariate and multivariate risk factors. The course concludes by teaching participants how to create more sophisticated graphs using STATA.
Who is eligible to apply?
- The attenders should have BSc in Health-related Sciences
- Eligible applicant will be selected among the volunteers to participate in the course based on their CVs.
Course Objectives:
* Getting familiar with capability and environment of STATA
* Learning how to prepare data base for our research
* Learning to how to do descriptive analysis and also testing hypothesis (parametric and non-parametric) and simple graphs
* Learning how to do univariate and multiple repression, univariate and multiple logistic regression; univariate and multiple ordered outcomes and advanced graphs.
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Course Information |
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PROGRAM DIRECTOR(S) |
Professor Seyed Mostafa Hosseini |
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PROGRAM INSTRUCTOR(S) |
Professor Seyed Mostafa Hosseini |
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PROGRAM DURATION |
2 days |
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PROGRAM START DATE |
September 26, 2024 |
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PROGRAM FINISH DATE |
September 27, 2024 |
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APPLICATION DEADLINE |
September 15, 2024 |
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NUMBER OF POSITIONS OFFERED |
20 people |
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TUITION FEE |
300 USD |
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PROGRAM LOCATION(S) |
Subtain University (Tehran University of Medical Sciences, International Branch in Iraq) |
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METHOD OF INSTRUCTION |
Face-to-face classes |
How to apply
Applicants are requested to submit their application via the TUMS online application system.
