Knowledge E | 12th-13th April 2017: Using Statistical Analysis in Academic Research (Egyptian Knowledge Bank), Cairo, Egypt

12th-13th April 2017: Using Statistical Analysis in Academic Research (Egyptian Knowledge Bank), Cairo, Egypt

Start Date: April 12, 2017

End Date: April 13, 2017

Venue: Ain Shams University, Cairo, Egypt


ABOUT

This course will serve as an overview of statistical analysis in academic writing. This workshop will be interactive and aim to help participants develop high quality research projects that are more likely to be published in high impact international journals. This course will provide an overview on the following topics:

• Defining the research question, appraising the background, target and sample populations
• Common study designs
• Sample size issues
• Summarising measurements and differences between 2 groups
• Confidence intervals
• Statistical significance tests
• Dealing with missing data
• Regression analysis
• Graphical displays of data and/or results
• Common pitfalls
• Validity of the results with respect to the research question
• Adhering to publication guidelines

COURSE LEADER

Eirini Koutoumanou
Senior Teaching Fellow in Statistics
University College London, GOS Institute of Child Health

Mrs. Eirini Koutoumanou holds a BSc degree in Statistics from the Athens University of Economics and Business and an MSc degree in Statistics from Lancaster University, funded by the Engineering and Physical Sciences Research Council. Her interest lies in the pure statistical science and ways of delivering its various aspects and interpretations to non-statistically orientated audiences.

She joined the University College of London GOS Institute of Child Health in 2008 and since then has led many statistical courses with great success. In January 2011, she also started a PhD on a part-time basis on Copula models and their application within pediatric data. In August 2014, she was promoted to Senior Teaching Fellow after 6 years of continuous pedagogical progress in the field of statistics.