Hello everybody,

I am running into problems back transforming my results.

I made 1 LM and 3 LME models in which my dependent variable (blood ketone bodies concentration) was log transformed due to the positieve skew. The final model therefore looked like this:

**K**FPlma4 = Ketone bodies as dependent outcome variable

K

**FP**lma4 = Random effects Farm (F) and Parity (P)

KFP

**lm**a4 = Linear mixed model

KFPlm

**a4**= All significant found independent variables (behaviours, mean daily eating time blabla) nr 4 based on AIC scores.

The results that i have thus far are as followed. I thought i had to include both the log transformed as well as the back transformed results for confidence interval, SE and estimates. However, as i back transform the results by 10^(original result) the relation between my CI and SE are way off. Before back transforming, they are normal?

I am transforming in excel, but i think i am doing something wrong.. Can somebody help me?

Help is very much appreciated!

Thanks in advance!