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A semiparametric model selection criterion with applications to the marginal structural model

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  • Brookhart, M. Alan
  • van der Laan, Mark J.

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  • Brookhart, M. Alan & van der Laan, Mark J., 2006. "A semiparametric model selection criterion with applications to the marginal structural model," Computational Statistics & Data Analysis, Elsevier, vol. 50(2), pages 475-498, January.
    • Handle: RePEc:eee:csdana:v:50:y:2006:i:2:p:475-498
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    References listed on IDEAS

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    1. Hirotugu Akaike, 1969. "Fitting autoregressive models for prediction," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 21(1), pages 243-247, December.
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    Cited by:

    1. Schnitzer Mireille E. & Lok Judith J. & Gruber Susan, 2016. "Variable Selection for Confounder Control, Flexible Modeling and Collaborative Targeted Minimum Loss-Based Estimation in Causal Inference," The International Journal of Biostatistics, De Gruyter, vol. 12(1), pages 97-115, May.
    2. Kazuhiko Shinoda & Takahiro Hoshino, 2022. "Orthogonal Series Estimation for the Ratio of Conditional Expectation Functions," Papers 2212.13145, arXiv.org.
    3. Lefebvre, Geneviève & Atherton, Juli & Talbot, Denis, 2014. "The effect of the prior distribution in the Bayesian Adjustment for Confounding algorithm," Computational Statistics & Data Analysis, Elsevier, vol. 70(C), pages 227-240.
    4. Haight, Thaddeus J. & Wang, Yue & van der Laan, Mark J. & Tager, Ira B., 2010. "A cross-validation deletion-substitution-addition model selection algorithm: Application to marginal structural models," Computational Statistics & Data Analysis, Elsevier, vol. 54(12), pages 3080-3094, December.
    5. Loh, Wen Wei & Ren, Dongning, 2021. "Data-driven Covariate Selection for Confounding Adjustment by Focusing on the Stability of the Effect Estimator," OSF Preprints yve6u, Center for Open Science.
    6. Ander Wilson & Corwin M. Zigler & Chirag J. Patel & Francesca Dominici, 2018. "Model‐averaged confounder adjustment for estimating multivariate exposure effects with linear regression," Biometrics, The International Biometric Society, vol. 74(3), pages 1034-1044, September.

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