A brief introduction to explaining statistics to non-statisticians Kate Hargreaves Sr Associate Biostatistics 13 th May, 2014 PSI Conference – Young Statistician’s.

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A brief introduction to explaining statistics to non-statisticians Kate Hargreaves Sr Associate Biostatistics 13 th May, 2014 PSI Conference – Young Statistician’s Session

2 Provided xxxxxxx, 20xx as part of an oral presentation and is qualified by such, contains forward-looking statements, actual results may vary materially; Amgen disclaims any duty to update. Topics covered The perfect trial and sampling - Practical Survival Analysis (Kaplan Meier plots) Bias - Treatment assignment - Randomisation - Subject selection bias - Assessment bias My personal experience

3 Provided xxxxxxx, 20xx as part of an oral presentation and is qualified by such, contains forward-looking statements, actual results may vary materially; Amgen disclaims any duty to update. The perfect trial… Test all patients in the population Measure all the patients in the population Find out the true effect of our treatment In most cases this cannot be done… ….so we take sample instead

4 Provided xxxxxxx, 20xx as part of an oral presentation and is qualified by such, contains forward-looking statements, actual results may vary materially; Amgen disclaims any duty to update.

5 Practical - Sampling Open your packet of Smarties™ Your Results Count the total number of Smarties™= Count the number of ‘Blue’ ones= Calculate the percentage of ‘Blue’ ones= %

6 Provided xxxxxxx, 20xx as part of an oral presentation and is qualified by such, contains forward-looking statements, actual results may vary materially; Amgen disclaims any duty to update. Survival Analysis Patient 1 2 3 4 5 6 7 8 9 Time (Months) 36912 0 Death Censored

7 Provided xxxxxxx, 20xx as part of an oral presentation and is qualified by such, contains forward-looking statements, actual results may vary materially; Amgen disclaims any duty to update. Survival Analysis Patient 1 2 3 4 5 6 7 8 9 Time from Randomization (Months) 36912 0 Death Censored

8 Provided xxxxxxx, 20xx as part of an oral presentation and is qualified by such, contains forward-looking statements, actual results may vary materially; Amgen disclaims any duty to update. Survival Analysis Patient 6 9 3 4 1 2 7 8 5 Time from Randomization (Months) 36912 0 Death Censored

9 Provided xxxxxxx, 20xx as part of an oral presentation and is qualified by such, contains forward-looking statements, actual results may vary materially; Amgen disclaims any duty to update. Survival Analysis - Kaplan Meier Curve

10 Provided xxxxxxx, 20xx as part of an oral presentation and is qualified by such, contains forward-looking statements, actual results may vary materially; Amgen disclaims any duty to update. Kaplan Meier Curve

11 Provided xxxxxxx, 20xx as part of an oral presentation and is qualified by such, contains forward-looking statements, actual results may vary materially; Amgen disclaims any duty to update. Types of bias Subject selection bias Treatment assignment bias Randomisation V

12 Provided xxxxxxx, 20xx as part of an oral presentation and is qualified by such, contains forward-looking statements, actual results may vary materially; Amgen disclaims any duty to update. My Experience Workshops are key for keeping people interested Bare in mind the set up of the room If teaching a full day course, try and share the work Talk about real studies Analysis of papers (and the statistics in them) Apologise for the jargon or any repeats Amount of formulae It is very difficult for a large group to pitch statistical training at the correct level

Any questions? Kate Hargreaves Sr Associate Biostatistics 13 th May, 2014 PSI Conference, Young Statistician’s Session Acknowledgements – James Matcham

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