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@book{Pearl2000,
title = {Causality: models, reasoning, and inference},
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shorttitle = {Causality},
publisher = {Cambridge University Press},
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pages = 412
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@book{Pearl2009,
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}
@techreport{TianPP1998,
title = {Finding Minimal D-separators},
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@article{KnueppelS2010,
title = {{DAG} program: identifying minimal sufficient adjustment sets},
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% url = {http://www.ncbi.nlm.nih.gov/pubmed/20010223},
@book{Cormenetal2001,
edition = {2nd},
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@misc{
Dracula2010,
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@misc{
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@misc{
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@Article{Polzer2012,
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@Article{
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Author="Sebastiani, Paola and Ramoni, Marco F. and Nolan, Vikki and Baldwin, Clinton T. and Steinberg, Martin H. ",
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@INPROCEEDINGS{ShpitserVR2010,
AUTHOR = "Ilya Shpitser and Tyler VanderWeele and James Robins",
TITLE = "On the Validity of Covariate Adjustment for Estimating Causal Effects",
BOOKTITLE = "Proceedings of UAI 2010",
PUBLISHER = "AUAI Press",
YEAR = "2010",
PAGES = "527-536"
}
@INPROCEEDINGS{TextorL2011,
author = {Textor, Johannes and Li{\'s}kiewicz, Maciej},
title = {Adjustment criteria in casual diagrams: an algorithmic perspective},
booktitle = {Proceedings of the 27th Conference on Uncertainty in Artificial Intelligence},
publisher = {AUAI Press},
year = {2011},
pages = {681--88},
}

@ARTICLE{Textor2011,
author = {Textor, Johannes and Hardt, Juliane and Kn{\"u}ppel, Sven},
title = {DAGitty: A graphical tool for analyzing causal diagrams},
journal = {Epidemiology},
year = {2011},
volume = {22},
pages = {745},
number = {5},
owner = {Felix Thoemmes},
timestamp = {2011.11.22}
}

@book{RothmanGL2008,
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@Article{
Kampen2014,
Author="van Kampen, Dirk",
Title="The SSQ model of schizophrenic prodromal unfolding revised: An analysis of its causal chains based on the language of directed graphs",
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@inproceedings{BritoPearlUAI02,
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bibsource = {DBLP, http://dblp.uni-trier.de}
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@article{
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@inproceedings{
zander15_instrument,
author={Benito van der Zander and Johannes Textor and Maciej Li\'skiewicz},
title={Efficiently Finding Conditional Instruments for Causal Inference},
booktitle={Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI 2015)},
publisher={AAAI Press},
pages={3243--49},
year={2015},
}


@article{
imbens14,
title={Instrumental Variables: An Econometrician’s Perspective},
journal={Statistical Science},
volume={29},
number={3},
pages={323--58},
year={2014},
author={Guido Imbens}
}

@inproceedings{
textor14_uai,
author={Benito van der Zander and Maciej Li\'skiewicz and Johannes Textor},
title={Constructing Separators and Adjustment Sets in Ancestral Graphs},
booktitle={Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence},
publisher={AUAI Press},
year={2014},
pages={907--16}
}


@inproceedings{
textor15_uai,
author={Johannes Textor and Alexander Idelberger and Maciej Li\'skiewicz},
title={Learning from Pairwise Marginal Independencies},
year={2015},
booktitle={Proceedings of the 31st Conference on Uncertainty in Artificial Intelligence},
publisher={AUAI Press},
pages={882-91}
}

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