Knowledge E | 10th-11th July 2017: Using Statistical Analysis in Academic Research (Egyptian Knowledge Bank), Cairo, Egypt

10th-11th July 2017: Using Statistical Analysis in Academic Research (Egyptian Knowledge Bank), Cairo, Egypt

Start Date: July 10, 2017

End Date: July 11, 2017

Venue: tbd


ABOUT

This course will aim to provide participants with a greater understanding of:

  • Different types of data recognition
  • How to describe the various types of data (e.g. means, proportions etc)
  • Random sampling error and understanding what controls the precision of any given sample
  • Confidence intervals for key statistics such as the mean and a proportion
  • Familiarity with two key statistical tests
  • Aspects of a data set that control whether or not the results are statistically significant
  • Calculation of necessary sample sizes as part of the planning stage
  • Determination of statistical significance either by P-values or a confidence interval for the effect size and the reasons why modern practice prefers the latter
  • Clinical significance versus statistical significance and know how to determine the former
  • Reporting statistical procedures
  • Integration from planning through to execution and reporting
  • Using a freely available statistical package for all the above purposes

INTENDED AUDIENCE

This course is ideal for:

  • Clinical research staff in teaching hospitals who need to perform and publish robust studies with sound results and interpretation
  • Physicians involved in clinical trials who want a deeper understanding of interpreting significance of published results
  • Researchers with a clinical emphasis who aim to become statisticians or hospital experts on scientific statistics

COURSE LEADER

Philip Rowe, PhD
School of Pharmacy & Biomolecular Sciences
Liverpool John Moores University

Dr. Philip Rowe is teaching mathematically based subjects to non-mathematicians in the biosciences in higher education and industry. He specializes in Clinical Statistics, Pharmacokinetics, and Epidemiology.