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Empirical Efficiency Maximization: Improved Locally Efficient Covariate Adjustment in Randomized Experiments and Survival Analysis

  • Rubin Daniel B

    (University of California, Berkeley)

  • van der Laan Mark J.

    (University of California, Berkeley)

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    It has long been recognized that covariate adjustment can increase precision in randomized experiments, even when it is not strictly necessary. Adjustment is often straightforward when a discrete covariate partitions the sample into a handful of strata, but becomes more involved with even a single continuous covariate such as age. As randomized experiments remain a gold standard for scientific inquiry, and the information age facilitates a massive collection of baseline information, the longstanding problem of if and how to adjust for covariates is likely to engage investigators for the foreseeable future.

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    Article provided by De Gruyter in its journal The International Journal of Biostatistics.

    Volume (Year): 4 (2008)
    Issue (Month): 1 (May)
    Pages: 1-40

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    Handle: RePEc:bpj:ijbist:v:4:y:2008:i:1:n:5
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