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Examples of Experiments With ‘Hard-to-Change’ and ‘Very-Hard-to-Change’ Variables

Stine Fangel, Statistician, Bavarian Nordic

Often we are setting variables to hard-to-change and very-hard-to-change when complete randomisation of experiments is not possible. When defining variables as hard-to-change and very-hard-to-change, we randomise where possible while ensuring valid testing of conditions. I will provide examples where the design from the JMP DOE platform is used as-is and examples on how the design can be altered to meet requirements such as balanced design (equal number of runs for each treatment) and blocking of a hard-to-change variable.

Discovery Summit Europe 2015 Resources

Discovery Summit Europe 2015 is over, but it's not too late to participate in the conversation!

Below, you'll find papers, posters and selected video clips from Discovery Summit Europe 2015.