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

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  • Robert Thiesmeier

    (Karolinska Institutet)

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.

Suggested Citation

  • Robert Thiesmeier, "undated". "Estimation of two-stage models in individual participant data meta-analysis with missing data," Northern European Stata Conference 2023 02, Stata Users Group.
    • Handle: RePEc:boc:neur23:02
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