S
snakepitt
We are in the process of determining samples sizes for various tests to support an FDA submission. Prior data are being analyzed to do this, and also being checked using Minitab for normality. Two questions:
1. Is one of the three tests (Anderson-Darling, Ryan-Joiner [similar to Shapiro-Wilk], Kolmogorov-Smirnov) more acceptable to FDA than the others? I have found some background on each that speaks to application but it did not help me. I did find a thread in the QA forum from one "Statistical Steven" several years back in which he commented that he prefers Shapiro-Wilk for sample sizes greater than ~50 and Kolmogorov-Smirnov for smaller Ns. Does anyone have additional input re FDA preference? What about A-D?
2. Between "non-normal" threshold of P=0.050 and P=0.100, is one more accepted than the other?
Thanks for the help.
1. Is one of the three tests (Anderson-Darling, Ryan-Joiner [similar to Shapiro-Wilk], Kolmogorov-Smirnov) more acceptable to FDA than the others? I have found some background on each that speaks to application but it did not help me. I did find a thread in the QA forum from one "Statistical Steven" several years back in which he commented that he prefers Shapiro-Wilk for sample sizes greater than ~50 and Kolmogorov-Smirnov for smaller Ns. Does anyone have additional input re FDA preference? What about A-D?
2. Between "non-normal" threshold of P=0.050 and P=0.100, is one more accepted than the other?
Thanks for the help.