Robertson Centre for Biostatistics, University of Glasgow An Introduction to Medical Statistics for Non-statisticians
Course Code: RCBMSTAT
Royal College of Physicians and Surgeons, Glasgow 12 Credits Background There is an expectation that researchers disseminate their work appropriately, through publication in peer-reviewed journals. This requires knowledge of the relevant statistical analysis and presentation techniques. However, statistical understanding is a skill which must be learned. Attendance at this course can help attendees to develop the relevant skills. Learning objectives Through attendance at the course you will:
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Gain knowledge and understanding of some of the more common statistical principles involved in the analysis and interpretation of medical research data Be more aware of the importance of the choice of an appropriate statistical technique for comparison of study groups Gain expertise in the use of a statistical package (Minitab) to analyse and present study data.
Topics covered include:
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Basic data description Statistical tests (both parametric and non-parametric) Confidence intervals Choice of appropriate techniques for comparing two groups Regression Correlation Study design Principles of sample size calculation
Course Duration: 2 days Date: Tuesday 12 and Wednesday 13 May 2009 Venue: Room 406, Level 4, Boyd Orr Building, University Avenue, University of Glasgow G12 8QQ Trainer: Dr Jan Green Contact for bookings: Lizzie Thomson, Robertson Centre for Biostatistics, e-mail: ethomson@stats.gla.ac.uk
Robertson Centre for Biostatistics, University of Glasgow Medical Statistics II for Non-statisticians
Course Code: RCBMSTAT2
Royal College of Physicians and Surgeons, Glasgow 6 Credits Background Many statistical analyses in medical research involve the investigation of relationships between health measures and/or other patient characteristics. In simple situations these associations can be assessed using basic statistical techniques. These methods become inadequate once we attempt to assess more complex situations, in which the influence of one variable may be affected by the influences of others. Regression techniques are a basic tool of medical statisticians, providing greater insight into the associations between variables, and allowing the analysis of more complex situations. A general framework of methods exists for the analysis of continuous, binary and other variables, and many statistical software tools can be used to apply these techniques. For those with a grasp of basic statistical ideas, an understanding of regression methods opens up a spectrum of analyses that they can apply to their own data and appreciate in scientific papers. Learning objectives Participants will gain a basic understanding of the main concepts of regression analysis, through a series of lectures and practical sessions. Topics covered will include:
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Simple Normal linear regression Multiple regression Logistic regression Regression models for survival data
Course Duration: 1 day Date: Thursday 14 May 2009 Venue: Room 406, Level 4, Boyd Orr Building, University Avenue, University of Glasgow G12 8QQ Trainer: Dr Alex McConnachie Contact for bookings: Lizzie Thomson, Robertson Centre for Biostatistics, e-mail: ethomson@stats.gla.ac.uk