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Register"EMA crippled model" - CVwR estimation and ODA in R [🇷 for BE/BA]
Dear Mittyri,
since I have to do my daily work with SAS I don't have an R solution for doing this out of the box.
But I think it should not that complicated to do the estimation of CVwR and this could be programmed even by a novice in R.
Part I: Estimation of CVwR
It is another story and is a grey zone. An outlier test is not expected. So simply create a boxplot from the residuals, cross your fingers and hope that not suspected "outliers" are visible:
This is of course only a rough description just in this moment came to my mind. Intended to give you a starting point. Needs to be tested and validated before going in production. Needs also to make a nice printout of the results. It's up to you.
❝ I mean the R code for CVwr estimation and outliers detection in Reference dataset according to ... EMA GL:
since I have to do my daily work with SAS I don't have an R solution for doing this out of the box.
But I think it should not that complicated to do the estimation of CVwR and this could be programmed even by a novice in R.
Part I: Estimation of CVwR
- Make a subset of your data.frame containing only the PK metrics under R(eference)
dtaR <- subset(data, tmt=="R")
dtaR$period <- as.factor(dtaR$period)
dtaR$subject<- as.factor(dtaR$subject)
dtaR$sequence<- as.factor(dtaR$sequence)
- Fit an model containing period sequence and subject within sequence
muddleR <- lm(log(PKmetric) ~ period + sequence + subject%in%sequence, data=dtaR)
or according to our Captn's preferred implementation simply
muddleR <- lm(log(PKmetric) ~ period + sequence + subject, data=dtaR)
- Extract the error mean square from that model and you calculate the CV from it
msewR <- sum(muddleR$residuals^2)/muddleR$df.residual
CVwR <- sqrt(exp(msewR)-1)*100 # in %
It is another story and is a grey zone. An outlier test is not expected. So simply create a boxplot from the residuals, cross your fingers and hope that not suspected "outliers" are visible:
boxplot(muddleR$residuals)
This is of course only a rough description just in this moment came to my mind. Intended to give you a starting point. Needs to be tested and validated before going in production. Needs also to make a nice printout of the results. It's up to you.
—
Regards,
Detlew
Regards,
Detlew
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Ing. Helmut Schütz