CLINICAL STATISTICS FOR NON-STATISTICIANS (How to read and understand statistics) (intermediate)
The aim of this course is to provide a refresh of your knowledge of statistics gained during medical training, increase your understanding what methodology and parameters to use in the analysis of specific research projects and clinical trials, their strengths and weaknesses, how to critically evaluate the results of the statistical analysis and how to best report on methodology and outcomes in manuscripts and presentations.
Who should attend?
Scientists and healthcare professionals involved in clinical trials with any level of experience who wish to learn more about the statistics they work with.
By completing the course you will understand the following and how to report them:
- Study populations to be analysed: intent-to-treat, per-protocol, safety-evaluable
- Descriptive statistics: mean, median, range, standard deviation, coefficient of variation, box plot, normal and non-normal distributions, parametric and nonparametric tests
- Estimates and confidence intervals: probability, standard error of the mean
- Sample size and power calculations
- Correlation and regression analyses: r, p and the 95% CI for a correlation
- Kaplan-Meier plots and the elements of reporting Kaplan-Meier analyses
Workshop Details
During the morning sessions we will explore some very basic but extremely important statistical concepts: types of variables, levels of measurement, descriptive statistics, point estimates, confidence intervals, and sample size calculations. The emphasis will be on understanding statistical concepts as well as reporting the results and what they mean. An exercise will allow participants to analyse the weaknesses and suggest improvements in some real statistical calculations.
The afternoon sessions will focus on understanding correlation and regression analyses and the analysis of survival as used in clinical trials. We will learn the basics of regression analyses, such as the difference between r, p and 95% CI for a correlation followed by interpreting different Kaplan-Meier graphs and the different elements of reporting Kaplan-Meier analyses. The appropriate use of graphical and tabular presentation of these analyses will be discussed and will be practised using exercises. The essential elements of these analyses will be presented: pre-requisites, basic definitions, graphical and tabular presentation, but will concentrate on the interpretation. The lectures are run in an interactive manner with discussion, small exercises and illustrated by numerous real-life examples.
CME points (punkty edukacyjne): 8
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