Tobias Gauss

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All published works

Action	Title	Year	Authors
+ PDF Chat	Expert Study on Interpretable Machine Learning Models with Missing Data	2024	Lena Stempfle Arthur James Julie Josse Tobias Gauss Fredrik Johansson
+ PDF Chat	Transition matrices model as a way to better understand and predict intra-hospital pathways of covid-19 patients	2022	Arnaud Foucrier Jules Perrio Johann Grisel Pascal Crépey Étienne Gayat Antoine Vieillard‐Baron Frédéric Batteux Tobias Gauss Pierre Squara Seak-Hy Lo
+ PDF Chat	Doubly robust treatment effect estimation with missing attributes	2020	Imke Mayer Erik Sverdrup Tobias Gauss Jean-Denis Moyer Stefan Wager Julie Josse
+	Doubly robust treatment effect estimation with missing attributes	2019	Imke Mayer Erik Sverdrup Tobias Gauss Jean-Denis Moyer Stefan Wager Julie Josse
+	Doubly robust treatment effect estimation with missing attributes	2019	Imke Mayer Erik Sverdrup Tobias Gauss Jean-Denis Moyer Stefan Wager Julie Josse

Common Coauthors

Coauthor	Papers Together
Julie Josse	4
Jean-Denis Moyer	3
Imke Mayer	3
Stefan Wager	3
Erik Sverdrup	3
Frédéric Batteux	1
Johann Grisel	1
Fredrik Johansson	1
Étienne Gayat	1
Jules Perrio	1
Julie Josse	1
Arnaud Foucrier	1
Antoine Vieillard‐Baron	1
R. Hellmann	1
Pascal Crépey	1
Arthur James	1
Seak-Hy Lo	1
Arthur James	1
Pierre Squara	1
M. Wargon	1
Lena Stempfle	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Estimating treatment effects with partially observed covariates using outcome regression with missing indicators	2020	Helen A. Blake Clémence Leyrat Kathryn E. Mansfield Laurie A. Tomlinson James R. Carpenter Elizabeth Williamson	2
+ PDF Chat	Dealing with limited overlap in estimation of average treatment effects	2009	Richard K. Crump V. Joseph Hotz Guido W. Imbens Oscar A. Mitnik	2
+	Multiple Imputation for Nonresponse in Surveys	1987	Donald B. Rubin	2
+	Inference for imputation estimators	2000	James M. Robins Naisyin Wang	2
+ PDF Chat	The central role of the propensity score in observational studies for causal effects	1983	Paul R. Rosenbaum Donald B. Rubin	2
+ PDF Chat	Estimating Individualized Treatment Rules Using Outcome Weighted Learning	2012	Ying‐Qi Zhao Donglin Zeng A. John Rush Michael R. Kosorok	2
+ PDF Chat	Inverse Probability Weighting with Missing Predictors of Treatment Assignment or Missingness	2014	Shaun R. Seaman Ian R. White	2
+	Matching on the Estimated Propensity Score	2016	Alberto Abadie Guido W. Imbens	2
+	DAGitty	2011	Johannes Textor Juliane Hardt Sven Knüppel	2
+ PDF Chat	Matrix Completion With Noise	2010	Emmanuel J. Candès Yaniv Plan	2
+	Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm	1977	A. P. Dempster N. M. Laird Donald B. Rubin	2
+	Causal diagrams for empirical research	1995	Judea Pearl	2
+	Estimating and Using Propensity Scores with Partially Missing Data	2000	Ralph B. D’Agostino Donald B. Rubin	2
+	Inference and missing data	1976	Donald B. Rubin	2
+ PDF Chat	Generalized random forests	2019	Susan Athey Julie Tibshirani Stefan Wager	2
+ PDF Chat	Approximate Residual Balancing: Debiased Inference of Average Treatment Effects in High Dimensions	2018	Susan Athey Guido W. Imbens Stefan Wager	2
+ PDF Chat	Robust inference on average treatment effects with possibly more covariates than observations	2015	Max H. Farrell	2
+ PDF Chat	Causal inference with confounders missing not at random	2019	Shu Yang Lily Wang Peng Ding	2
+	<b>mice</b>: Multivariate Imputation by Chained Equations in<i>R</i>	2011	Stef van Buuren Catharina G. M. Groothuis‐Oudshoorn	2
+ PDF Chat	Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score	2003	Keisuke Hirano Guido W. Imbens Geert Ridder	1
+ PDF Chat	Double/debiased machine learning for treatment and structural parameters	2017	Victor Chernozhukov Denis Chetverikov Mert Demirer Esther Duflo Christian Hansen Whitney K. Newey James M. Robins	1
+ PDF Chat	Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review	2004	Guido W. Imbens	1
+ PDF Chat	A multipurpose machine learning approach to predict COVID-19 negative prognosis in São Paulo, Brazil	2021	Fernando Timoteo Fernandes Tiago Almeida de Oliveira Cristiane Esteves Teixeira André Filipe de Moraes Batista Gabriel Dalla Costa Alexandre Dias Porto Chiavegatto Filho	1
+	Real-time forecasting of COVID-19 bed occupancy in wards and Intensive Care Units	2021	Stef Baas P. D. S. Dijkstra Aleida Braaksma Plom van Rooij Fieke J. Snijders Lars Tiemessen Richard J. Boucherie	1
+	Evolution of outcomes for patients hospitalised during the first 9 months of the SARS-CoV-2 pandemic in France: A retrospective national surveillance data analysis	2021	Noémie Lefrancq Juliette Paireau Nathanaël Hozé Noémie Courtejoie Yazdan Yazdanpanah Lila Bouadma Pierre‐Yves Boëlle Fanny Chéreau Henrik Salje Simon Cauchemez	1
+ PDF Chat	Causal Inference for Statistics, Social, and Biomedical Sciences	2015	Guido W. Imbens Donald B. Rubin	1
+	Importance of patient bed pathways and length of stay differences in predicting COVID-19 hospital bed occupancy in England	2021	Quentin J. Leclerc Naomi M. Fuller Ruth H. Keogh Karla Díaz-Ordaz Richard Sekula Malcolm G. Semple J. Kenneth Baillie Malcolm G. Semple Peter Openshaw Gail Carson	1
+	Estimating Treatment Effects with Causal Forests: An Application	2019	Susan Athey Stefan Wager	1
+	Reducing Bias in Observational Studies Using Subclassification on the Propensity Score	1984	Paul R. Rosenbaum Donald B. Rubin	1
+	Targeted Learning	2011	Mark J. van der Laan Sherri Rose	1
+	Analysis of Incomplete Multivariate Data	1997	Joseph L. Schafer	1
+	Multiple imputation and its application	2013	James R. Carpenter M. G. Kenward	1
+	Flexible Imputation of Missing Data	2012	Stef van Buuren	1
+	Reducing Bias in Observational Studies Using Subclassification on the Propensity Score	1984	Paul R. Rosenbaum Donald B. Rubin	1
+	Using Mixed Integer Programming for Matching in an Observational Study of Kidney Failure After Surgery	2012	José R. Zubizarreta	1
+	Estimation of Regression Coefficients When Some Regressors are not Always Observed	1994	James M. Robins Andrea Rotnitzky Lue Ping Zhao	1
+	Propensity score estimation with missing values using a multiple imputation missingness pattern (MIMP) approach	2009	Yongming Qu Ilya Lipkovich	1
+	Estimating and using propensity score in presence of missing background data: an application to assess the impact of childbearing on wellbeing	2008	Alessandra Mattei	1
+	Consistency of random forests	2015	Erwan Scornet Gérard Biau Jean‐Philippe Vert	1
+ PDF Chat	Estimation and Inference of Heterogeneous Treatment Effects using Random Forests	2017	Stefan Wager Susan Athey	1
+	Adaptive Concentration of Regression Trees, with Application to Random Forests	2015	Stefan Wager Guenther Walther	1
+	Multiple Imputation and its Application	2012	James R. Carpenter Michael G. Kenward	1
+ PDF Chat	Propensity score analysis with partially observed covariates: How should multiple imputation be used?	2017	Clémence Leyrat Shaun R. Seaman Ian R. White Ian Douglas Liam Smeeth Joseph Kim Matthieu Resche‐Rigon James R. Carpenter Elizabeth Williamson	1
+	Double/debiased machine learning for treatment and structural parameters	2017	Whitney K. Newey Christian Hansen Esther Duflo James M. Robins Victor Chernozhukov Mert Demirer Denis Chetverikov	1
+	Who Should Be Treated? Empirical Welfare Maximization Methods for Treatment Choice	2018	Toru Kitagawa Aleksey Tetenov	1
+	Efficient Policy Learning	2017	Susan Athey Stefan Wager	1
+ PDF Chat	Logistic regression with missing covariates—Parameter estimation, model selection and prediction within a joint-modeling framework	2019	Wei Jiang Julie Josse Marc Lavielle	1
+	COVID-19: How the Paris area faced the massive influx of critical patients	2020	Arnaud Foucrier R. Hellmann Aurélien Rousseau	1
+ PDF Chat	Bettenkapazitätssteuerung in Zeiten der COVID-19-Pandemie	2020	Christoph Römmele Tobias Neidel Jakob Heins Steffen Heider V. Otten Alanna Ebigbo T. Weber M. Müller Oliver Spring Georg Braun	1
+	[Bed capacity management in times of the COVID-19 pandemic : A simulation-based prognosis of normal and intensive care beds using the descriptive data of the University Hospital Augsburg].	2020	Christoph Römmele Tobias Neidel Jakob Heins Steffen Heider Otten Alanna Ebigbo T. Weber M. Müller Oliver Spring Georg Braun	1