期刊
STATA JOURNAL
卷 15, 期 2, 页码 369-396出版社
SAGE PUBLICATIONS INC
DOI: 10.1177/1536867X1501500203
关键词
st0384; ipdmetan; forestplot; admetan; ipdover; meta-analysis; forest plot; individual participant data; survival; two-stage; time-to-event; prefix command; subgroup
资金
- Medical Research Council [MC_UU_12023/21, MC_UU_12023/24] Funding Source: researchfish
- MRC [MC_UU_12023/21, MC_UU_12023/24] Funding Source: UKRI
In this article, I describe a command, ipdmetan, that facilitates two-stage individual participant data meta-analysis of any measure of effect and its standard error by fitting a specified model to data from each study.. The command can estimate random effects and heterogeneity statistics and include additional covariates and interactions. If individual participant data are available for certain studies and aggregate data for others, ipdmetan allows them to be combined in one analysis. This command can produce detailed and flexible forest plots, including ones outside the context of formal meta-analysis.
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