I want to perform a pooled analysis of studies including only a treatment arm, so no proper control groups are available.
Studies present data about subjects before the treatment and after treatment, at different follow up time.
Outcome measures are both categorical and numerical (with mean and SD expressed).
What I extracted from studies and want to analyze are:
vitality status at follow up. this is 100% at baseline of course. here basically i want to know the proportion of subjects alive at follow up, as all subjects were alive at the beginning of the studies.
one categorical variable (status of interest) which varies between baseline and follow up. I want to know if the proportion of subjects with this status before and after treatment differ significantly
several continuous variables, for which I have n, mean and sd. I have these both before and after treatment. what i wish to know is if there is a difference between pre and post treatment for these variables
I am pretty new to meta-analysis. I am familiar with r, but willing to learn how to use RevMan if necessary.
What kind of analysis should I perform ? Do you have any materials to share where I can learn and study ?