【正文】 on metan syntax, options refer to different parts of the forest plot ? Most options appropriate to the underlying twoway plot type are acceptable, with some exceptions Option Function twoway plot type boxopt Weighted boxes for study point estimates scatter [aweight] pointopt Points for study point estimates scatter ciopt Lines for confidence intervals rspike, hor pcarrow diamopt Diamond for summary estimate pcspike (x4) olineopt Vertical line through summary estimate rspike Example forestplot dataset (“resultsset” from last ipdmetan example) _use _by _study _labels _ES _lci _uci _wgt evrate u_1_1_ V_1_1_ _NN 0 1 IPD 1 1 3 LCSG 773 1 1 5 CAMS 1 1 6 MRC LU11 1 1 9 SLOVENIA 1 1 14 GETCB 04CB86 1 1 13 ITALY 1 1 16 KOREA 3 1 Subtotal 4 1 (Isquared = %, p = ) 4 1 0 2 Aggregate 1 2 17 belgium 202 1 2 18 EORTC 08861 105 1 2 19 LILLE 163 1 2 20 GETCB 05CB86 539 3 2 Subtotal 1009 4 2 (Isquared = %, p = ) 4 2 4 Heterogeneity between groups: p = 5 Overall 1009 4 (Isquared = %, p = ) Estimates。 CIs。 weights Extra data columns “Stacking” of forest plots ? Imagine: ? dataset on previous slide is saved as ? we want IPD boxes to be red, and AD boxes to be green ? We proceed as follows: ? Run forestplot with two using(...) options, one for each part of the plot, with the same filename ? (Alternatively: run ipdmetan twice and save under different filenames) ? Specify our desired plot_options as suboptions to using() forestplot, using( if _by==1, boxopt(mcolor(red))) using( if _by==2, boxopt(mcolor(green))) lcols(evrate) rcols(u_1_1_ V_1_1_) nooverall nostats nowt ( I s q u a r e d = 0 . 0 %, p = 0 . 9 6 4 )S u b t o t a lG E T C B 0 5 C B 8 6L I L L EE O R T C 0 8 8 6 1b e l g i u mA g g r e g a t e( I s q u a r e d = 0 . 0 %, p = 0 . 7 1 0 )S u b t o t a lK O R E AI T A L YG E T C B 0 4 C B 8 6S L O V E N I AMR C L U 1 1C A MSL C S G 7 7 3I P Dr e f e r e n c e n u mb e rt r i a l0 . 5 00 . 6 40 . 4 30 . 8 30 . 6 90 . 8 10 . 5 10 . 6 80 . 8 50 . 7 80 . 5 80 . 7 2r a t eE v e n t3 . 2 43 . 0 6 4 . 5 04 . 9 5 2 . 5 6 2 . 4 81 . 0 74 . 7 7o E ( o )2 2 9 . 62 2 . 41 3 . 23 1 . 61 5 . 65 9 . 44 4 . 94 1 . 0V ( o )1 4. 2 5Summary and conclusion ? IPD is increasingly used, and its advantages widely accepted ? Large numbers of MA scientists use twostage models for analysing IPD ? Currently only AD MA (. metan) and onestage IPD (. xtmixed) mands exist in Stata ? ipdmetan is a universal mand for twostage IPD MA ? forestplot is a flexible forest plot mand ? does not carry out analysis itself, thus not restricted by it ? may be useful outside the MA context (. presenting trial subgroups) Further information ? Other related programs (all call forestplot by default): ? admetan: calls ipdmetan to analyse AD (direct alternative to metan) ? ipdover: fit model within series of subgroups ? petometan: perform metaanalysis of timetoevent data using the Peto (logrank) method ? SSC and Stata Journal article in near future Thankyou! ? Questions, requests, bug reports: ? Thanks to: ? Jayne Tierney, Patrick Royston ? Ross Harris (author of metan) for advice amp。 support ? Assorted colleagues for testing ? Reference: ? Fisher D. J. et al. 2022. Journal of Clinical Epidemiology 64: 94967