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Multisite causal mediation analysis in the presence of complex sample and survey designs and non‐random non‐response

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  • Xu Qin
  • Guanglei Hong
  • Jonah Deutsch
  • Edward Bein

Abstract

This study provides a template for multisite causal mediation analysis using a comprehensive weighting‐based analytic procedure that enhances external and internal validity. The template incorporates a sample weight to adjust for complex sample and survey designs, adopts an inverse probability of treatment weight to adjust for differential treatment assignment probabilities, employs an estimated non‐response weight to account for non‐random non‐response and utilizes a propensity‐score‐based weighting strategy to decompose flexibly not only the population average but also the between‐site heterogeneity of the total programme impact. Because the identification assumptions are not always warranted, a weighting‐based balance checking procedure assesses the remaining overt bias, whereas a weighting‐based sensitivity analysis further evaluates the potential bias related to omitted confounding or to propensity score model misspecification. We derive the asymptotic variance of the estimators for the causal effects that account for the sampling uncertainty in the estimated weights. The method is applied to a reanalysis of the data from the National Job Corps Study.

Suggested Citation

  • Xu Qin & Guanglei Hong & Jonah Deutsch & Edward Bein, 2019. "Multisite causal mediation analysis in the presence of complex sample and survey designs and non‐random non‐response," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 182(4), pages 1343-1370, October.
  • Handle: RePEc:bla:jorssa:v:182:y:2019:i:4:p:1343-1370
    DOI: 10.1111/rssa.12446
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    Cited by:

    1. Xu Qin & Jonah Deutsch & Guanglei Hong, 2021. "Unpacking Complex Mediation Mechanisms And Their Heterogeneity Between Sites In A Job Corps Evaluation," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 40(1), pages 158-190, January.
    2. Sheena McConnell & Peter Z. Schochet & Dana Rotz & Ken Fortson & Paul Burkander & Annalisa Mastri, 2021. "The Effects of Employment Counseling on Labor Market Outcomes for Adults and Dislocated Workers: Evidence from a Nationally Representative Experiment," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 40(4), pages 1249-1287, September.
    3. Guanglei Hong & Fan Yang & Xu Qin, 2021. "Did you conduct a sensitivity analysis? A new weighting‐based approach for evaluations of the average treatment effect for the treated," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(1), pages 227-254, January.

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