Paul Trichelair

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All published works

Action	Title	Year	Authors
+ PDF Chat	More efficient and inclusive time-to-event trials with covariate adjustment: a simulation study	2023	Raphaëlle Momal Honghao Li Paul Trichelair Michaël G. B. Blum Félix Balazard
+ PDF Chat	External control arm analysis: an evaluation of propensity score approaches, G-computation, and doubly debiased machine learning	2022	Nicolas Loiseau Paul Trichelair Maxime He Mathieu Andreux Mikhail Zaslavskiy Gilles Wainrib Michaël G. B. Blum
+ PDF Chat	More efficient and inclusive time-to-event trials with covariate adjustment: a simulation study	2022	Raphaëlle Momal Paul Trichelair Michaël G. B. Blum Félix Balazard
+ PDF Chat	External control arm analysis: an evaluation of propensity score approaches, G-computation, and doubly debiased machine learning	2022	Nicolas Loiseau Paul Trichelair Maxime He Mathieu Andreux Mikhail Zaslavskiy Gilles Wainrib Michaël G. B. Blum
+ PDF Chat	HOW MACHINE LEARNING CAN ENHANCE CLINICAL DEVELOPMENT	2021	Paul Trichelair
+	The KnowRef Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution	2019	Ali Emami Paul Trichelair Adam Trischler Kaheer Suleman Hannes Schulz Jackie Chi Kit Cheung
+	How Reasonable are Common-Sense Reasoning Tasks: A Case-Study on the Winograd Schema Challenge and SWAG	2019	Paul Trichelair Ali Emami Adam Trischler Kaheer Suleman Jackie Chi Kit Cheung
+	On the Evaluation of Common-Sense Reasoning in Natural Language Understanding.	2018	Paul Trichelair Ali Emami Jackie Chi Kit Cheung Adam Trischler Kaheer Suleman Fernando Díaz
+	The Knowref Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution	2018	Ali Emami Paul Trichelair Adam Trischler Kaheer Suleman Hannes Schulz Jackie Chi Kit Cheung
+	The Knowref Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution	2018	Ali Emami Paul Trichelair Adam Trischler Kaheer Suleman Hannes Schulz Jackie Kit Cheung
+	Safe Policy Improvement with Baseline Bootstrapping	2017	Romain Laroche Paul Trichelair Rémi Tachet des Combes

Common Coauthors

Coauthor	Papers Together
Kaheer Suleman	5
Adam Trischler	5
Michaël G. B. Blum	4
Jackie Chi Kit Cheung	4
Ali Emami	3
Hannes Schulz	3
Gilles Wainrib	2
Ali Emami	2
Mikhail Zaslavskiy	2
Mathieu Andreux	2
Félix Balazard	2
Maxime He	2
Raphaëlle Momal	2
Rémi Tachet des Combes	1
Romain Laroche	1
Nicolas Loiseau	1
Fernando Díaz	1
Honghao Li	1
Jackie Kit Cheung	1
Nicolas Loiseau	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Probabilistic Reasoning via Deep Learning: Neural Association Models	2016	Quan Liu Hui Jiang Zhen-Hua Ling Si Wei Yu Hu	3
+	A Simple Method for Commonsense Reasoning	2018	Trieu H. Trinh Quoc V. Le	3
+	Blinded sample size recalculation for clinical trials with normal data and baseline adjusted analysis	2009	Tim Friede Meinhard Kieser	2
+	Sample-Size Formula for the Proportional-Hazards Regression Model	1983	David Schoenfeld	2
+	Measures of dependence for censored survival data	1988	John T. Kent John O’Quigley	2
+	How to Select Covariates to Include in the Analysis of a Clinical Trial	2000	Gillian Raab Simon Day Jill Sales	2
+	A. R.<sup>2</sup>type measure of dependence for proportional hazards models	1999	Ronghui Xu John O' quigley	2
+	Model Selection, Confounder Control, and Marginal Structural Models	2004	Marshall M. Joffe Rth Ho Harold I. Feldman Stephen E. Kimmel	2
+	Randomized Controlled Trials With Time-to-Event Outcomes: How Much Does Prespecified Covariate Adjustment Increase Power?	2005	Adrían V. Hernández Marinus J.C. Eijkemans Ewout W. Steyerberg	2
+	Case matching and the reduction of selection bias in quasi-experiments: The relative importance of pretest measures of outcome, of unreliable measurement, and of mode of data analysis.	2010	Thomas D. Cook Peter M. Steiner	2
+	Subgroup analysis, covariate adjustment and baseline comparisons in clinical trial reporting: current practiceand problems	2002	Stuart J. Pocock Susan E. Assmann Laura E. Enos Linda Kasten	2
+	An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies	2011	Peter C. Austin	2
+ PDF Chat	Explained randomness in proportional hazards models	2004	John O’Quigley Ronghui Xu Janez Stare	2
+ PDF Chat	Learning Global Features for Coreference Resolution	2016	Sam Wiseman Alexander M. Rush Stuart M. Shieber	2
+	Robust methods to improve efficiency and reduce bias in estimating survival curves in randomized clinical trials	2014	Min Zhang	2
+ PDF Chat	Evaluating large-scale propensity score performance through real-world and synthetic data experiments	2018	Yuxi Tian Martijn J. Schuemie Marc A. Suchard	2
+	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	2
+	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	2018	Jacob Devlin Ming‐Wei Chang Kenton Lee Kristina Toutanova	2
+ PDF Chat	Mind the GAP: A Balanced Corpus of Gendered Ambiguous Pronouns	2018	Kellie Webster Marta Vilar Recasens Vera Axelrod Jason Baldridge	2
+	Design and Evaluation of an External Control Arm Using Prior Clinical Trials and Real-World Data	2019	Steffen Ventz Albert Lai Timothy F. Cloughesy Patrick Y. Wen Lorenzo Trippa Brian M. Alexander	2
+	Higher-Order Coreference Resolution with Coarse-to-Fine Inference	2018	Kenton Lee Luheng He Luke Zettlemoyer	2
+ PDF Chat	Deep Reinforcement Learning for Mention-Ranking Coreference Models	2016	Kevin Clark Christopher D. Manning	2
+	Gender Bias in Coreference Resolution	2018	Rachel Rudinger Jason Naradowsky Brian Leonard Benjamin Van Durme	2
+	Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods	2018	Jieyu Zhao Tianlu Wang Mark Yatskar Vicente Ordóñez Kai-Wei Chang	2
+	Causal Inference Using Potential Outcomes	2005	Donald B. Rubin	2
+ PDF Chat	Improved precision in the analysis of randomized trials with survival outcomes, without assuming proportional hazards	2018	Iván Díaz Elizabeth Colantuoni Daniel F. Hanley Michael Rosenblum	2
+ PDF Chat	End-to-end Neural Coreference Resolution	2017	Kenton Lee Luheng He Mike Lewis Luke Zettlemoyer	2
+ PDF Chat	Within study comparisons and risk of bias in international development: Systematic review and critical appraisal	2019	Paul Fenton Villar Hugh Waddington	2
+ PDF Chat	Using Electronic Health Records to Derive Control Arms for Early Phase Single‐Arm Lung Cancer Trials: Proof‐of‐Concept in Randomized Controlled Trials	2019	Gillis Carrigan Samuel Whipple William B. Capra Michael D. Taylor Jeffrey S. Brown Michael W. Lu Brandon Arnieri Ryan Copping Kenneth J. Rothman	2
+	Do Covariates Change the Estimand?	2019	Thomas Permutt	2
+	Nonrandomized Real‐World Evidence to Support Regulatory Decision Making: Process for a Randomized Trial Replication Project	2019	Jessica M. Franklin Ajinkya Pawar David Martin Robert J. Glynn Mark Levenson Robert Temple Sebastian Schneeweiß	2
+ PDF Chat	Estimating treatment effects with machine learning	2019	K. John McConnell Stephan Lindner	2
+	Emulation Differences vs. Biases When Calibrating Real‐World Evidence Findings Against Randomized Controlled Trials	2020	Jessica M. Franklin Robert J. Glynn Samy Suissa Sebastian Schneeweiß	2
+ PDF Chat	Real‐world evidence to support regulatory decision‐making for medicines: Considerations for external control arms	2020	Mehmet Burcu Nancy A Dreyer Jessica M. Franklin Michael D. Blum Cathy W. Critchlow Eleanor M. Perfetto Wei Zhou	2
+ PDF Chat	<p>Synthetic and External Controls in Clinical Trials – A Primer for Researchers</p>	2020	Kristian Thorlund Louis Dron Jay Park Edward J. Mills	2
+	Using Decision Trees for Coreference Resolution	1995	Joseph F. McCarthy Wendy G. Lehnert	2
+ PDF Chat	Propensity Score-Matching Methods for Nonexperimental Causal Studies	2002	Rajeev Dehejia Sadek Wahba	2
+ PDF Chat	Does matching overcome LaLonde's critique of nonexperimental estimators?	2004	Jeffrey A. Smith Petra Todd	2
+ PDF Chat	Evaluating eligibility criteria of oncology trials using real-world data and AI	2021	Ruishan Liu Shemra Rizzo Samuel Whipple Navdeep Pal Arturo López Pineda Michael W. Lu Brandon Arnieri Ying Lü William B. Capra Ryan Copping	2
+ PDF Chat	G-computation and doubly robust standardisation for continuous-time data: A comparison with inverse probability weighting	2021	Arthur Chatton Florent Le Borgne Clémence Leyrat Yohann Foucher	2
+	Covariate adjustment in randomized controlled trials with dichotomous outcomes increases statistical power and reduces sample size requirements	2004	Adrían V. Hernández Ewout W. Steyerberg J. Dik F. Habbema	2
+	A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect	1986	James M. Robins	2
+	Bias and causal associations in observational research	2002	David A. Grimes Kenneth F. Schulz	2
+ PDF Chat	Explained Variation for Survival Models	2006	Patrick Royston	2
+	Estimating causal effects of treatments in randomized and nonrandomized studies.	1974	Donald B. Rubin	2
+	Implementation of G-Computation on a Simulated Data Set: Demonstration of a Causal Inference Technique	2011	Jonathan M. Snowden Sherri Rose Kathleen Mortimer	2
+	Using Ensemble-Based Methods for Directly Estimating Causal Effects: An Investigation of Tree-Based G-Computation	2012	Peter C. Austin	2
+ PDF Chat	Doubly Robust Estimation of Causal Effects	2011	Michele Jönsson Funk Daniel Westreich Chris Wiesen Til Stürmer‎ M. Alan Brookhart Marie Davidian	2
+	A simulation study of predictive ability measures in a survival model I: Explained variation measures	2011	Babak Choodari‐Oskooei Patrick Royston Mahesh Parmar	2
+ PDF Chat	The central role of the propensity score in observational studies for causal effects	1983	Paul R. Rosenbaum Donald B. Rubin	2