refs.bib

@incollection{kennedy2016semiparametric,
  title={Semiparametric Theory and Empirical Processes in Causal Inference},
  author={Kennedy, Edward H},
  booktitle={Statistical Causal Inferences and Their Applications in Public
    Health Research},
  editor={He, Hua and Wu, Pan and Chen, Ding-Geng (Din)},
  year={2016},
  publisher={Springer},
  pages={141--167},
  doi={10.1007/978-3-319-41259-7_8}
}

@article{fisher2020visually,
  title={Visually communicating and teaching intuition for influence
    functions},
  author={Fisher, Aaron and Kennedy, Edward H},
  journal={The American Statistician},
  volume={75},
  number={2},
  pages={162--172},
  year={2020},
  publisher={Taylor \& Francis},
  doi={10.1080/00031305.2020.1717620}
}

@misc{herbps10_2023,
  author       = {Susmann},
  title        = {One Step Estimators and Pathwise Derivatives},
  howpublished = {\url{https://observablehq.com/@herbps10/one-step-estimators-and-pathwise-derivatives}},
  year         = {2023},
  note         = {Accessed: YYYY-MM-DD}
}

@article{kennedy2022semiparametric,
  title={Semiparametric doubly robust targeted double machine learning: A
    review},
  author={Kennedy, Edward H},
  journal={arXiv preprint arXiv:2203.06469},
  doi={10.48550/arXiv.2203.06469},
  year={2022}
}

@article{hines2022demystifying,
  title={Demystifying statistical learning based on efficient influence
    functions},
  author={Hines, Oliver and Dukes, Oliver and Diaz-Ordaz, Karla and
    Vansteelandt, Stijn},
  journal={The American Statistician},
  volume={76},
  number={3},
  pages={292--304},
  year={2022},
  publisher={Taylor \& Francis},
  doi={10.1080/00031305.2021.2021984}
}

@article{diaz2020machine,
  title={Machine learning in the estimation of causal effects: targeted minimum
    loss-based estimation and double/debiased machine learning},
  author={D{\'\i}az, Iv{\'a}n},
  journal={Biostatistics},
  volume={21},
  number={2},
  pages={353--358},
  year={2020},
  publisher={Oxford University Press},
  doi={10.1093/biostatistics/kxz042}
}

@article{henmi2004paradox,
  title={A paradox concerning nuisance parameters and projected estimating
    functions},
  author={Henmi, Masayuki and Eguchi, Shinto},
  journal={Biometrika},
  volume={91},
  number={4},
  pages={929--941},
  year={2004},
  publisher={Oxford University Press},
  doi={10.1093/biomet/91.4.929}
}

@article{ying2024geometric,
  title={A geometric perspective on double robustness by semiparametric theory
    and information geometry},
  author={Ying, Andrew},
  journal={arXiv preprint arXiv:2404.13960},
  url = {https://arxiv.org/abs/2404.13960},
  year={2024}
}

@book{tsiatis2007semiparametric,
  title={Semiparametric Theory and Missing Data},
  author={Tsiatis, Anastasios},
  year={2007},
  publisher={Springer},
  doi={10.1007/0-387-37345-4}
}

@book{kosorok2008introduction,
  title={Introduction to Empirical Processes and Semiparametric Inference},
  author={Kosorok, Michael R},
  year={2008},
  publisher={Springer},
  doi={10.1007/978-0-387-74978-5}
}

@book{vdl2003unified,
  title={Unified Methods for Censored Longitudinal Data and Causality},
  author={{van der Laan}, Mark J and Robins, James M},
  year={2003},
  publisher={Springer},
  doi={10.1007/978-0-387-21700-0}
}

@book{vdl2011targeted,
  title={Targeted Learning: Causal Inference for Observational and Experimental
   Data},
  author={{van der Laan}, Mark J and Rose, Sherri},
  year={2011},
  publisher={Springer},
  doi={10.1007/978-1-4419-9782-1}
}

@book{vdl2018targeted,
  title={Targeted Learning in Data Science: Causal Inference for Complex
   Longitudinal Studies},
  author={{van der Laan}, Mark J and Rose, Sherri},
  year={2018},
  publisher={Springer},
  doi={10.1007/978-3-319-65304-4}
}

@phdthesis{rytgaard2020phd,
  title = {Targeted causal learning for longitudinal data},
  school = {University of Copenhagen},
  author = {Rytgaard, Helene Charlotte},
  year = {2020},
  url = {https://biostat.ku.dk/dissertations/2020_rytgaard.pdf},
}

@book{hernan2023causal,
  title={Causal Inference: What If},
  author={Hern{\'a}n, Miguel A and Robins, James M},
  year={2024},
  publisher={CRC Press},
  doi={}
}

@article{bang2005doubly,
  title={Doubly robust estimation in missing data and causal inference models},
  author={Bang, Heejung and Robins, James M.},
  journal={Biometrics},
  volume={61},
  number={4},
  pages={962--973},
  year={2005},
  publisher={Wiley Online Library},
  doi={10.1111/j.1541-0420.2005.00377.x}
}

@article{vdl2012targeted,
  title={Targeted minimum loss based estimation of causal effects of multiple
    time point interventions},
  author={{van der Laan}, Mark J and Gruber, Susan},
  journal={The International Journal of Biostatistics},
  volume={8},
  number={1},
  year={2012},
  publisher={De Gruyter}
}

@article{liu2023causal,
  title={Causal inference for longitudinal data based on historical controls},
  author={Liu, Jeen and Zhang, Jane and Mitchell, Alan and Fang, Mindy and
    Tian, Lu},
  journal={Journal of Biopharmaceutical Statistics},
  volume={33},
  number={3},
  pages={289--306},
  year={2023},
  publisher={Taylor \& Francis},
  doi={10.1080/10543406.2022.2148164}
}