Hey everyone,
I wasnt sure where to put my question, but I hope someone will be able to help me!
I am studying a system whereby I treat cells with a stimulus and then investigate the effect of another drug on the stimulated cells - I have been using a one-way anova to study the effects, as I need to see if the stimulus is creating a significant difference to control cells and then I want to see if the drug is creating any other significant differences from stimulus only treated cells... (hope that makes sense!)
Does anyone know if its ok to use a one-way anova or should I be using two-way?
Any help would be much much appreciated!
Thanks!
One-way or Two-way ANOVA??
Started by culturelady, Feb 13 2009 03:06 AM
3 replies to this topic
#1
Posted 13 February 2009 - 03:06 AM
#2
Posted 13 February 2009 - 06:55 AM
Whereas one-way analysis of variance (ANOVA) tests measure significant effects of
one factor only, two-way analysis of variance (ANOVA) tests (also called two-factor
analysis of variance) measure the effects of two factors simultaneously. For
example, an experiment might be defined by two parameters, such as treatment and
time point. One-way ANOVA tests would be able to assess only the treatment effect
or the time effect. Two-way ANOVA on the other hand would not only be able to
assess both time and treatment in the same test, but also whether there is an
interaction between the parameters.
Hope that helps!
~Labrat
one factor only, two-way analysis of variance (ANOVA) tests (also called two-factor
analysis of variance) measure the effects of two factors simultaneously. For
example, an experiment might be defined by two parameters, such as treatment and
time point. One-way ANOVA tests would be able to assess only the treatment effect
or the time effect. Two-way ANOVA on the other hand would not only be able to
assess both time and treatment in the same test, but also whether there is an
interaction between the parameters.
Hope that helps!
~Labrat
#3
Posted 13 February 2009 - 10:13 AM
culturelady, on Feb 13 2009, 12:06 PM, said:
Hey everyone,
I wasnt sure where to put my question, but I hope someone will be able to help me!
I am studying a system whereby I treat cells with a stimulus and then investigate the effect of another drug on the stimulated cells - I have been using a one-way anova to study the effects, as I need to see if the stimulus is creating a significant difference to control cells and then I want to see if the drug is creating any other significant differences from stimulus only treated cells... (hope that makes sense!)
Does anyone know if its ok to use a one-way anova or should I be using two-way?
Any help would be much much appreciated!
Thanks!
I wasnt sure where to put my question, but I hope someone will be able to help me!
I am studying a system whereby I treat cells with a stimulus and then investigate the effect of another drug on the stimulated cells - I have been using a one-way anova to study the effects, as I need to see if the stimulus is creating a significant difference to control cells and then I want to see if the drug is creating any other significant differences from stimulus only treated cells... (hope that makes sense!)
Does anyone know if its ok to use a one-way anova or should I be using two-way?
Any help would be much much appreciated!
Thanks!
Hopefully you used two controls: cells with stimulus without drug and cells without stimulus with drug.
You should use a two-way anova as you expect (or know) that the two treatments interact. You have to know btw if you have to use model I, II or a mixed model, depending if stimulus and drug are fixed or random effects.
One must presume that long and short arguments contribute to the same end. - Epicurus
...except casandra's that belong to the funniest, most interesting and imaginative (or over-imaginative?) ones, I suppose.
#4
Posted 18 February 2009 - 02:40 AM
Thanks for the help guys! Now all I need to do is figure out how to actually perform a 2-way anova in the stats package I use - (Graphpad prism). And thankfully I do have the relevant controls













