Marloes H. Maathuis - Concepedia

Author

Marloes H. Maathuis

Also Known As

Arnaud Doucet, M H Maathuis, M. H. Maathuis, M.H. Maathuis, Maathuis, Marloes, Maathuis, Marloes H., Maathuis, Marloes; Drton, Mathias; Lauritzen, Steffen; Wainwright, Martin, Marloes H Maathuis, Marloes H. Maathuis, Marloes Maathuis

102

Publications

4.1K

Citations

H-Index

Concepts

All Affiliations

ETH Zurich University of Washington University of Bern SIB Swiss Institute of Bioinformatics University of Cape Town

About

Marloes H. Maathuis is an author at ETH Zurich specializing in statistics, public health, and engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	12	13	1.7K
2	Public Health	12	13	1.8K
3	Medicine	3	3	77
4	Business	2	2	84
5	Natural Sciences	1	1	14

Marloes H. Maathuis

Publications

3.3K

Citations

H-Index

Page 1

	Year	Citations
Causal Inference Using Graphical Models with the<i>R</i>Package<b>pcalg</b> Markus Kalisch, Martin Mächler, Diego Colombo, Journal of Statistical Software Causal ModelEngineeringData SciencePcalg PackageCausal Structure Learning	2012	519
Order-independent constraint-based causal structure learning Diego Colombo, Marloes H. Maathuis arXiv (Cornell University) EngineeringMachine LearningCausal Relation ExtractionCausal InferenceR-package Pcalg	2014	465
From hype to reality: data science enabling personalized medicine Holger Fröhlich, Rudi Balling, Niko Beerenwinkel, BMC Medicine	2018	431
Estimating high-dimensional intervention effects from observational data Marloes H. Maathuis, Markus Kalisch, Peter Bühlmann The Annals of Statistics EngineeringTreatment EffectCausal EffectsIntervention CalculusQuasi-experiment	2009	318
Causal Structure Learning Christina Heinze‐Deml, Marloes H. Maathuis, Nicolai Meinshausen Annual Review of Statistics and Its Application EngineeringMachine LearningCausal Relation ExtractionCausal InferenceData Science	2017	166
Promises, Pitfalls, and Basic Guidelines for Applying Machine Learning Classifiers to Psychiatric Imaging Data, with Autism as an Example Pegah Kassraian, Caroline Matthis, Joshua H. Balsters, Frontiers in Psychiatry	2016	136
Variable selection in high-dimensional linear models: partially faithful distributions and the PC-simple algorithm Peter Bühlmann, Markus Kalisch, Marloes H. Maathuis Biometrika	2010	116
Causal Inference Using Graphical Models with the R Package pcalg Markus Kalisch, Martin Mächler, Diego Colombo, Repository for Publications and Research Data (ETH Zurich)	2012	99
Estimation and worldwide monitoring of the effective reproductive number of SARS-CoV-2 Jana S. Huisman, Jérémie Scire, Daniel C. Angst, eLife	2022	91
Complete Graphical Characterization and Construction of Adjustment Sets in Markov Equivalence Classes of Ancestral Graphs Emilija Perković, Johannes Textor, Markus Kalisch, Repository for Publications and Research Data (ETH Zurich)	2018	89

Page 1