HOW TO READ AND UNDERSTAND STATISTICS (level 1)
19th November 2010, Wroclaw
This workshop aims to teach you how to understand what the statistical methods are attempting to show, how to correctly interpret the results and how to get your research published in peer-reviewed journals. It discusses in depth all the essential steps you will need.
Level 1
(more) (agenda) (location) (price)Clinical research involves comparing groups of people for which statistical methods are required. As scientific communicators we don’t need to know how to do statistical calculations, but rather how to understand what the statistical methods are attempting to show and how to interpret the results correctly.
Level 1
Who should attend?
Medical personnel or anyone 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.
Agenda
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08:30–08:45 |
Registration and morning coffee |
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08:45–10:15 |
Using Statistics in Medical Writing – introduction and basic concepts:
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10:15–10:30 |
Coffee break |
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10:30–12:00 |
Using Statistics in Medical Writing – case studies and exercises |
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12:00–13:00 |
Lunch |
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13:00–14:30 |
Graphical statistical analytic techniques – introduction and basic concepts:
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14:30–14:45 |
Coffee break |
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14:45–16:30 |
Graphical statistical analytic techniques – case studies and exercises |
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16:30–17:30 |
Discussion, presentation of certificates and close |
Venue
Wroclaw, to be announced
