Category Archives: Analysis of Covariance

14. Great and Not so Great Designs

Common Designs to Reduce Error Variance Contra-lateral Design This is a very sweet type of study design, but it can be seldom used in pharma or biotech.  Devices are another story.  With only one group (rather than two) and the … Continue reading

Posted in Analysis of Covariance, Contra-lateral, Crossover, Design, Effect Size, Parallel Group | Leave a comment

18. Percentage Change from Baseline – Great or Poor?

Everything should be made as simple as possible, but no simpler. – Attributed to Albert Einstein *** In my third and forth blog I addressed useful ways to present the results of an analysis.  Of course, p-values wasn’t it.  I … Continue reading

Posted in Analysis of Covariance, assumptions, Effect Size, heteroscedasticity, non-normality, percentage change from baseline | 18 Comments