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Model selection criterion for causal parameters in structural mean models based on a quasi-likelihood

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  • Masataka Taguri
  • Yutaka Matsuyama
  • Yasuo Ohashi

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  • Masataka Taguri & Yutaka Matsuyama & Yasuo Ohashi, 2014. "Model selection criterion for causal parameters in structural mean models based on a quasi-likelihood," Biometrics, The International Biometric Society, vol. 70(3), pages 721-730, September.
    • Handle: RePEc:bla:biomet:v:70:y:2014:i:3:p:721-730
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    File URL: http://hdl.handle.net/10.1111/biom.12165
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    References listed on IDEAS

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    1. Wei Pan, 2001. "Akaike's Information Criterion in Generalized Estimating Equations," Biometrics, The International Biometric Society, vol. 57(1), pages 120-125, March.
    2. Pasi Korhonen & Juni Palmgren, 2002. "Effect modification in a randomized trial under non‐ignorable non‐compliance: an application to the alpha‐tocopherol beta‐carotene study," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 51(1), pages 115-133, January.
    3. Claeskens,Gerda & Hjort,Nils Lid, 2008. "Model Selection and Model Averaging," Cambridge Books, Cambridge University Press, number 9780521852258, October.
    4. Paul Clarke & Frank Windmeijer, 2009. "Identification of Causal Effects on Binary Outcomes Using Structural Mean Models," The Centre for Market and Public Organisation 09/217, The Centre for Market and Public Organisation, University of Bristol, UK.
    5. Taguri Masataka & Chiba Yasutaka, 2012. "Instruments and Bounds for Causal Effects under the Monotonic Selection Assumption," The International Journal of Biostatistics, De Gruyter, vol. 8(1), pages 1-23, August.
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    Cited by:

    1. Yasuhiro Hagiwara & Tomohiro Shinozaki & Yutaka Matsuyama, 2020. "G‐estimation of structural nested restricted mean time lost models to estimate effects of time‐varying treatments on a failure time outcome," Biometrics, The International Biometric Society, vol. 76(3), pages 799-810, September.

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