Estimation of two-stage models in individual participant data meta-analysis with missing data

Robert Thiesmeier
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Robert Thiesmeier: Karolinska Institutet

Northern European Stata Conference 2023 from Stata Users Group

Abstract: Individual participant data (IPD) meta-analysis often has missing data and is analyzed in two-steps: estimates are Krst obtained within each individual study and then averaged across studies.The current mi suite of commands for dealing with missing data does not allow a two-stage approach in Ktting regression models. Therefore, I introduce a new command, twostage, that offers to Kt two-stage regression models for IPD meta-analysis with missing data. twostage has been developed to accommodate systematic and sporadically missing data in IPD meta-analysis. I Krst brieYy describe the challenges of missing data in IPD meta-analysis and then illustrate applications of the twostage command in the context of health-related studies.

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Persistent link: https://EconPapers.repec.org/RePEc:boc:neur23:02

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