Biostatisctics and Data analysis training

The following topics will be covered in this course:

  • Study design in Clinical Research (Design effect).
  • Use of data processing programmes on the computers
  • Principles of sample size determination
  • Principles of Data management in research
  • Planning quality data collection to avoid problems
  • How to deal with problems in collected data
  • Types of data – continuous, ordered, categorical
  • Summarizing data (Tabulation and means, standard deviation) and measures of precision (95% CI)
  • Statistical Analysis
    •  Difference between means 
    •  Difference of proportions 
    • Tests for significance of differences
  • Confounding and stratification
  • Use of STATA, SPSS and Epi-Info and R as statistical tools in data analysis
  • Advanced Statistical analysis:
    • Regression analysis (simple and multiple)
    • ANOVA o Logistic regression models
    • Survival Analysis
  • Networking with other academics, researchers and postgraduate students

 FELLOWSHIPS and TUITION FEES

 Fellowships are available for 12 participants to be awarded to qualifying applicants. The additional 8 places will be available at a fee of USD 100 to cover course materials, lunch and tea for the 5 days. Each application should include a clearly articulated motivation that indicates that the applicant would benefit from the training.

ELIGIBILITY & TEACHING METHODOLOGY

The Training Course is planned for 20 participants with demonstrated previous experience in protocol design. Preference will be given to those with existing data sets that they intend to learn to analyse. Full computer facilities will be available although participants are encouraged to bring own laptops to undertake assignments given after hours. This is a hands-on training course that will be facilitated by experts with experience in data management and statistical analysis. Participants attending the course will acquire skills to analyse their data and present in tabular and/or graphical format as well as apply relevant statistical analysis for scientific publications. There will be minimal didactic teaching.

LIMITED REGISTRATION

20 places are available and these will be allocated to eligible applicants on a first-come-first-served basis. Visit our Upcoming link and register soon.

 
 

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