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Semiparametric estimator for a secondary analysis with correlated outcomes

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  • Gustavo Guimarães de Castro Amorim

Abstract

Researchers are often required to reuse data that have been collected and analyzed for other purposes. Issues may arise if the outcome of this secondary study is related to the outcome of the first study and traditional methods may fail to deliver a consistent estimate. Here we propose a semiparametric approach that takes this correlation into account and produces asymptotically consistent and normally distributed estimates. We discuss its performance through simulations and apply the proposed method to a real dataset.

Suggested Citation

  • Gustavo Guimarães de Castro Amorim, 2019. "Semiparametric estimator for a secondary analysis with correlated outcomes," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 48(19), pages 4703-4711, October.
    • Handle: RePEc:taf:lstaxx:v:48:y:2019:i:19:p:4703-4711
    DOI: 10.1080/03610926.2016.1146768
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