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One weird trick for better inference in experimental designs

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  • Austin Nichols

    (Abt Associates)

Abstract

A long line of research debates the merits of statistical adjustment for baseline or pretreatment characteristics for random assignment designs (Fisher 1935; Freedman 2008a, 2008b; Lin 2013; Kallus 2018). A related literature explores better methods to conduct statistical adjustment for potential confounders in nonexperimental designs. This presentation presents the results of a simulation showing large potential improvements in inference for random assignment designs attainable using commands designed to adjust for potential confounders newly available in Stata 16.

Suggested Citation

  • Austin Nichols, 2021. "One weird trick for better inference in experimental designs," 2021 Stata Conference 9, Stata Users Group.
    • Handle: RePEc:boc:scon21:9
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    File URL: http://fmwww.bc.edu/repec/scon2021/US21_Nicols.pdf
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