Bénédicte Colnet

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All published works

Action	Title	Year	Authors
+	Re-weighting the randomized controlled trial for generalization: finite-sample error and variable selection	2024	Bénédicte Colnet Julie Josse Gaël Varoquaux Erwan Scornet
+ PDF Chat	Causal Inference Methods for Combining Randomized Trials and Observational Studies: A Review	2024	Bénédicte Colnet Imke Mayer Guanhua Chen Awa Dieng Ruohong Li Gaël Varoquaux Jean-Philippe Vert Julie Josse Shu Yang
+ PDF Chat	Reweighting the RCT for generalization: finite sample error and variable selection	2022	Bénédicte Colnet Julie Josse Gaël Varoquaux Erwan Scornet

Common Coauthors

Coauthor	Papers Together
Gaël Varoquaux	3
Julie Josse	3
Erwan Scornet	2
Guanhua Chen	1
Ruohong Li	1
Shu Yang	1
Jean-Philippe Vert	1
Awa Dieng	1
Imke Mayer	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Transportability of Trial Results Using Inverse Odds of Sampling Weights	2017	Daniel Westreich Jessie K. Edwards Catherine R. Lesko Elizabeth A. Stuart Stephen R. Cole	2
+ PDF Chat	From Sample Average Treatment Effect to Population Average Treatment Effect on the Treated: Combining Experimental with Observational Studies to Estimate Population Treatment Effects	2015	Erin Hartman Richard Grieve Roland R. Ramsahai Jasjeet S. Sekhon	2
+ PDF Chat	Covariate selection for generalizing experimental results: Application to a large-scale development program in Uganda	2021	Naoki Egami Erin Hartman	2
+ PDF Chat	Extending inferences from a randomized trial to a new target population	2020	Issa J Dahabreh Sarah E. Robertson Jon A. Steingrimsson Elizabeth A. Stuart Miguel A. Hernán	2
+ PDF Chat	Generalizing Experimental Findings	2015	Judea Pearl	2
+	Understanding and misunderstanding randomized controlled trials	2017	Angus Deaton Nancy Cartwright	2
+	Generalizing Treatment Effect Estimates From Sample to Population: A Case Study in the Difficulties of Finding Sufficient Data	2016	Elizabeth A. Stuart Anna Rhodes	2
+ PDF Chat	Causal Inference for Statistics, Social, and Biomedical Sciences	2015	Guido W. Imbens Donald B. Rubin	2
+ PDF Chat	Improving Trial Generalizability Using Observational Studies	2021	Dasom Lee Shu Yang Lin Dong Xiaofei Wang Donglin Zeng Jianwen Cai	2
+	Doubly Robust Inference when Combining Probability and Non-Probability Samples with High Dimensional Data	2020	Shu Yang Jae Kwang Kim Rui Song	2
+ PDF Chat	Generalizing Evidence from Randomized Trials Using Inverse Probability of Sampling Weights	2018	Ashley Buchanan Michael G. Hudgens Stephen R. Cole Katie R. Mollan Paul E. Sax Eric S. Daar Adaora A. Adimora Joseph J. Eron Michael J. Mugavero	2
+	Stratification and weighting via the propensity score in estimation of causal treatment effects: a comparative study	2004	Jared Lunceford Marie Davidian	2
+	Improving Generalizations From Experiments Using Propensity Score Subclassification	2012	Elizabeth Tipton	2
+ PDF Chat	Generalizing from Unrepresentative Experiments: A Stratified Propensity Score Approach	2013	Colm O’Muircheartaigh Larry V. Hedges	2
+ PDF Chat	Assessing Methods for Generalizing Experimental Impact Estimates to Target Populations	2016	Holger Kern Elizabeth A. Stuart Jennifer Hill Donald P. Green	2
+	Implications of Small Samples for Generalization: Adjustments and Rules of Thumb	2016	Elizabeth Tipton Kelly Hallberg Larry V. Hedges Wendy Chan	2
+ PDF Chat	Effect heterogeneity and variable selection for standardizing causal effects to a target population	2019	Anders Huitfeldt Sonja A. Swanson Mats Julius Stensrud Etsuji Suzuki	2
+	A Review of Generalizability and Transportability	2022	Irina Degtiar Sherri Rose	2
+ PDF Chat	Causal effect on a target population: A sensitivity analysis to handle missing covariates	2022	Bénédicte Colnet Julie Josse Gaël Varoquaux Erwan Scornet	2
+ PDF Chat	The Use of Propensity Scores to Assess the Generalizability of Results from Randomized Trials	2010	Elizabeth A. Stuart Stephen R. Cole Catherine P. Bradshaw Philip J. Leaf	2
+ PDF Chat	Generalizing Evidence From Randomized Clinical Trials to Target Populations: The ACTG 320 Trial	2010	S. R. Cole Elizabeth A. Stuart	2
+ PDF Chat	The Prevention and Treatment of Missing Data in Clinical Trials	2012	Roderick J. A. Little Ralph B. D’Agostino Michael L. Cohen Kay Dickersin Scott S. Emerson John T. Farrar Constantine Frangakis Joseph W. Hogan Geert Molenberghs Susan A. Murphy	1
+	Negative Controls	2010	Marc Lipsitch Eric Tchetgen Tchetgen Ted Cohen	1
+	Marginal Structural Models versus Structural nested Models as Tools for Causal inference	2000	James M. Robins	1
+	Compound Treatments and Transportability of Causal Inference	2011	Miguel A. Hernán Tyler J. VanderWeele	1
+	Impact of mis‐specification of the treatment model on estimates from a marginal structural model	2008	Geneviève Lefebvre Joseph A. Delaney Robert W. Platt	1
+	Bayesian Nonparametric Modeling for Causal Inference	2010	Jennifer Hill	1
+	Assessing the accuracy of the maximum likelihood estimator: Observed versus expected Fisher information	1978	Bradley Efron D. V. Hinkley	1
+	The combination of randomized and historical controls in clinical trials	1976	Stuart J. Pocock	1
+	Four Types of Effect Modification	2007	Tyler J. VanderWeele James M. Robins	1
+	Estimating Exposure Effects by Modelling the Expectation of Exposure Conditional on Confounders	1992	James M. Robins Steven D. Mark Whitney K. Newey	1
+ PDF Chat	Controlling Selection Bias in Causal Inference	2011	Elias Bareinboim Judea Pearl	1
+	The handling of missing data in clinical trials	2013	Michael G. Kenward	1
+	Assessing Sensitivity to an Unobserved Binary Covariate in an Observational Study with Binary Outcome	1983	Peter Rosenbaum Donald B. Rubin	1
+ PDF Chat	Adjusting Treatment Effect Estimates by Post-Stratification in Randomized Experiments	2012	Luke Miratrix Jasjeet S. Sekhon Bin Yu	1
+	Causal diagrams for empirical research	1995	Judea Pearl	1
+	Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm	1977	A. P. Dempster N. M. Laird Donald B. Rubin	1
+	Sensitivity to Exogeneity Assumptions in Program Evaluation	2003	Guido W. Imbens	1
+	Estimating causal effects of treatments in randomized and nonrandomized studies.	1974	Donald B. Rubin	1
+	Predicting the efficacy of future training programs using past experiences at other locations	2004	V. Joseph Hotz Guido W. Imbens Julie Holland Mortimer	1
+ PDF Chat	Sampling Bias and Logistic Models	2008	Peter McCullagh	1
+ PDF Chat	Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score	2002	Keisuke Hirano Guido W. Imbens Geert Ridder	1
+ PDF Chat	A Simple Method for Estimating Interactions Between a Treatment and a Large Number of Covariates	2014	Lü Tian Ash A. Alizadeh Andrew J. Gentles Robert Tibshirani	1
+ PDF Chat	Causal inference in statistics: An overview	2009	Judea Pearl	1
+ PDF Chat	Misunderstandings Between Experimentalists and Observationalists about Causal Inference	2008	Kosuke Imai Gary King Elizabeth A. Stuart	1
+	Instruments for Causal Inference	2006	Miguel A. Hernán James M. Robins	1
+ PDF Chat	A General Algorithm for Deciding Transportability of Experimental Results	2013	Elias Bareinboim Judea Pearl	1
+	Structural accelerated failure time models for survival analysis in studies with time-varying treatments	2005	Miguel A. Hernán Stephen R. Cole Joseph B. Margolick Mardge H. Cohen James M. Robins	1
+ PDF Chat	The central role of the propensity score in observational studies for causal effects	1983	Paul R. Rosenbaum Donald B. Rubin	1
+	None	2000	Jin Tian Judea Pearl	1