Basic help with stats for drug treatments


New Member
Hi there :wave:
So I haven't a clue where to start and am hoping someone on here can point me in the right direction.
I'm starting to analyse my data from laboratory research but I don't know which test to use. My data is numerical and follows a normal distribution.

I have 2 different cell lines - a control and a mutant cell line.
For each cell line, I have a minimum of 3 and a maximum of 13 different treatments.
I have 3 replicates for each condition which I can mean average.

I want to compare treatments to see which is most significant. I also want to see a difference between the cell lines i.e. my drugs should affect the mutant cells and not the control cells.

I am thinking I should do separate analyses for both cell lines, so to compare drug treatments maybe one-way ANOVA? Then use t-test to directly compare each treatment means between cell lines? This seems kind of long-winded. Help!


TS Contributor
this feels like a two-way Anova, one factor being the group type, the other the treatment. You should look for interaction effects mainly, treatments that have a different effect on the control and the treatment group.