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A Modified General Location Model for Noncompliance With Missing Data

Author

Listed:
  • Hui Jin

    (Harvard University)

  • John Barnard

    (The Cleveland Clinic Foundation)

  • Donald B. Rubin

    (Harvard University)

Abstract

Missing data, especially when coupled with noncompliance, are a challenge even in the setting of randomized experiments. Although some existing methods can address each complication, it can be difficult to handle both of them simultaneously. This is true in the example of the New York City School Choice Scholarship Program, where both the covariates and the outcomes were sometimes missing, and there was complicated noncompliance. The authors propose a modified general location model to integrate the ideas of missing data techniques and principal stratification and then analyze the same data as in Barnard, Frangakis, Hill, and Rubin (2003) , where a pattern-mixture model was used. Their results are presented and compared with those in Barnard et al.

Suggested Citation

  • Hui Jin & John Barnard & Donald B. Rubin, 2010. "A Modified General Location Model for Noncompliance With Missing Data," Journal of Educational and Behavioral Statistics, , vol. 35(2), pages 154-173, April.
    • Handle: RePEc:sae:jedbes:v:35:y:2010:i:2:p:154-173
    DOI: 10.3102/1076998609346968
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    References listed on IDEAS

    as
    1. Constantine E. Frangakis & Donald B. Rubin, 2002. "Principal Stratification in Causal Inference," Biometrics, The International Biometric Society, vol. 58(1), pages 21-29, March.
    2. Barnard J. & Frangakis C.E. & Hill J.L. & Rubin D.B., 2003. "Principal Stratification Approach to Broken Randomized Experiments: A Case Study of School Choice Vouchers in New York City," Journal of the American Statistical Association, American Statistical Association, vol. 98, pages 299-323, January.
    3. Jin, Hui & Rubin, Donald B., 2008. "Principal Stratification for Causal Inference With Extended Partial Compliance," Journal of the American Statistical Association, American Statistical Association, vol. 103, pages 101-111, March.
    Full references (including those not matched with items on IDEAS)

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