[:en]ABOUT
This workshop will serve as an overview of statistical analysis in academic research with a foundation of basic techniques. This workshop will be interactive and will allow participants to practice the correct selection of statistical techniques as well as executing the analyses.
This course aims to provide a better understanding of:
- Random sampling error
- Confidence intervals
- P-values
- Statistical tests
- Sample size
- Clinical significance
- Statistical significance
- Reporting statistical procedures
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 and assessing published results
- Researchers with a clinical emphasis who aim to mentor students or others involved in research, where statistics are a necessary part of the work
WORKSHOP PREPARATION
Throughout the workshop, participants will be asked to participate in several small group activities. In order to participate in these activities, participants are asked to prepare ahead of time by following the steps below.
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- Go to minitab.com
- Scroll down. Find and click a button labelled ‘Learn more’ under Minitab 18
- Click ‘Start your free trial’
- Complete the form (you do not have to provide a phone number)
- Click Submit
- Download then occurs
- Run the .exe file
COURSE LEADER
Dr. Philip Howard Rowe
School of Pharmacy & Biomolecular Sciences
Liverpool John Moores University, UKDr. Philip Rowe is an author and former lecturer from Liverpool John Moores University, where he acted as academic faculty for more than 25 years. Throughout his career he has taught clinical statistics pharmacokinetics and epidemiology to students and to outside bodies (Professional and industrial). He has analysed data in the fields of quantitative structure activity relationships, pharmaceuticals and pharmacy practice. He enjoys teaching mathematically based subjects to nonmathematicians in the biosciences in higher education and industry. His specialities include clinical statistics, pharmacokinetics, and epidemiology[:]
