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Visualizing and diagnosing spillover within randomized controlled trials using diagnostic test assessment methods in Stata

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  • James Hurley

    (The University of Melbourne)

Abstract

This presentation will demonstrate the use of Stata to visualize and diagnose spillover within randomized controlled trials. In the past, techniques such as the L’abbe plot might have been used, but the plots available with diagnostic test assessment methods in Stata (community-contributed commands) are better. Spillover is crucial for the inference from RCT’s but difficult to demonstrate without use of information from outside the RCT. The data (plots and Stata code) are available in Hurley (2024).

Suggested Citation

  • James Hurley, "undated". "Visualizing and diagnosing spillover within randomized controlled trials using diagnostic test assessment methods in Stata," Oceania Stata Conference 2025 4, Stata Users Group.
    • Handle: RePEc:boc:osug25:4
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    File URL: http://repec.org/osug2025/Oceania25_Hurley.pdf
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