Hey guys,
I am new to coding. Wondering if anyone can help me with coding in stata to generate a summary forest plot like the one in picture attached saw it on a online med journal
I am doing a study-level meta-analysis with different outcomes. In addition to the standard forest plots, I would like to produce a summary forest plot, by removing individual studies and just keeping the summary effect for each outcome, and then display all the summary effects (obtained with random effect model) in a single graph.
some forums suggested using admetan or ipdmetan etc. but i have no idea how to write codes with that
Something that i used to generate individual meta analysis is as follows
meta esize a b c d, studylabel(study) esize(lnrr) random
meta forest, eform nullrefline(favorsleft("Favors x", color (vv)) favorsright ("Favors y")) xscale(range (0.02 1 8)) xlabel(#4) markeropts(mcolor(blue)) gmarkeropts(mcolor (yellow)) omarkeropts (mcolor(black)) columnopts(_data1, supertitle(x)) col(_a, title (Events)) col(_b, title(Total)) columnopts(_data2, supertitle(y)) col(_c, title(Events)) col(_d, title(Total))
Want to generate a cumulative forest plot like this
.
I am new to coding. Wondering if anyone can help me with coding in stata to generate a summary forest plot like the one in picture attached saw it on a online med journal
I am doing a study-level meta-analysis with different outcomes. In addition to the standard forest plots, I would like to produce a summary forest plot, by removing individual studies and just keeping the summary effect for each outcome, and then display all the summary effects (obtained with random effect model) in a single graph.
some forums suggested using admetan or ipdmetan etc. but i have no idea how to write codes with that
Something that i used to generate individual meta analysis is as follows
meta esize a b c d, studylabel(study) esize(lnrr) random
meta forest, eform nullrefline(favorsleft("Favors x", color (vv)) favorsright ("Favors y")) xscale(range (0.02 1 8)) xlabel(#4) markeropts(mcolor(blue)) gmarkeropts(mcolor (yellow)) omarkeropts (mcolor(black)) columnopts(_data1, supertitle(x)) col(_a, title (Events)) col(_b, title(Total)) columnopts(_data2, supertitle(y)) col(_c, title(Events)) col(_d, title(Total))
Want to generate a cumulative forest plot like this
