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Harrison H. Li
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All published works
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Title
Year
Authors
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Efficient combination of observational and experimental datasets under general restrictions on outcome mean functions
2024
Harrison H. Li
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Double machine learning and design in batch adaptive experiments
2024
Harrison H. Li
Art B. Owen
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PDF
Chat
A general characterization of optimal tie-breaker designs
2023
Harrison H. Li
Art B. Owen
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Double machine learning and design in batch adaptive experiments
2023
Harrison H. Li
Art B. Owen
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A general characterization of optimal tie-breaker designs
2022
Harrison H. Li
Art B. Owen
Common Coauthors
Coauthor
Papers Together
Art B. Owen
4
Commonly Cited References
Action
Title
Year
Authors
# of times referenced
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PDF
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Optimizing the tie-breaker regression discontinuity design
2020
Art B. Owen
Hal R. Varian
2
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PDF
Chat
Kernel regression analysis of tie-breaker designs
2023
Dan M. Kluger
Art B. Owen
2
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PDF
Chat
Asymptotic properties of covariate-adjusted response-adaptive designs
2007
Zhang Li
Feifang Hu
Siu Hung Cheung
WaiâSum Chan
2
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Utility of Covariate-Adjusted Response-Adaptive Randomization in Survival Trials
2012
Oleksandr Sverdlov
William F. Rosenberger
Yevgen Ryeznik
1
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Efficiency Bounds for Semiparametric Regression
1992
Gary Chamberlain
1
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Forcing a sequential experiment to be balanced
1971
Bradley Efron
1
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PDF
Chat
Stable and Efficient Multiple Smoothing Parameter Estimation for Generalized Additive Models
2004
Simon N. Wood
1
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Weak Convergence and Empirical Processes
1996
Aad van der Vaart
Jon A. Wellner
1
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Cutoff assignment strategies for enhancing randomized clinical trials
1992
William M. K. Trochim
J CAPPELLERI
1
+
PDF
Chat
Handling Covariates in the Design of Clinical Trials
2008
William F. Rosenberger
Oleksandr Sverdlov
1
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Comparison of a Randomized and Two Quasi-Experimental Designs in a Single Outcome Evaluation
1998
Leona S. Aiken
Stephen G. West
David E. Schwalm
James L. Carroll
Shenghwa Hsiung
1
+
PDF
Chat
On the Fundamental Lemma of Neyman and Pearson
1951
George B. Dantzig
Abraham Wald
1
+
PDF
Chat
A Unified Family of Covariate-Adjusted Response-Adaptive Designs Based on Efficiency and Ethics
2014
Jianhua Hu
Hongjian Zhu
Feifang Hu
1
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Root-N-Consistent Semiparametric Regression
1988
Peter M. Robinson
1
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Adaptive designs for normal responses with prognostic factors
2001
Uttam Bandyopadhyay
1
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Optimum biased coin designs for sequential clinical trials with prognostic factors
1982
Anthony C. Atkinson
1
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PDF
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Adaptive Experimental Design Using the Propensity Score
2010
Jinyong Hahn
Keisuke Hirano
Dean Karlan
1
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PDF
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Thin Plate Regression Splines
2003
Simon N. Wood
1
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PDF
Chat
The central role of the propensity score in observational studies for causal effects
1983
Paul R. Rosenbaum
Donald B. Rubin
1
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Efficient semiparametric estimator for heteroscedastic partially linear models
2006
Yanyuan Ma
JengâMin Chiou
Naisyin Wang
1
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PDF
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The Value of Knowing the Propensity Score for Estimating Average Treatment Effects
2016
Christoph Rothe
1
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The Theory of ResponseâAdaptive Randomization in Clinical Trials
2006
Feifang Hu
William F. Rosenberger
1
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Comparing Inference Approaches for RD Designs: A Reexamination of the Effect of Head Start on Child Mortality
2017
Matias D. Cattaneo
RocĂo Titiunik
Gonzalo VĂĄzquez-BarĂŠ
1
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Information-regret compromise in covariate-adaptive treatment allocation
2017
Asya Metelkina
Luc Pronzato
1
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Impact Evaluation in Matching Markets with General Tie-Breaking
2017
Atila AbdulkadiroÄlu
Joshua D. Angrist
Yusuke Narita
Parag A. Pathak
1
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Stratification Trees for Adaptive Randomisation in Randomised Controlled Trials
2022
Max TabordâMeehan
1
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A class of Covariate-Adjusted Response-Adaptive Allocation Designs for Multitreatment Binary Response Trials
2018
Atanu Biswas
Rahul Bhattacharya
1
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Combining estimators of a common parameter across samples
2018
Eric Slud
Filia Vonta
Abram Kagan
1
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PDF
Chat
The Implicit Function Theorem for Maps that are Only Differentiable: An Elementary Proof
2018
Oliveira
1
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IX. On the problem of the most efficient tests of statistical hypotheses
1933
Jerzy Neyman
Egon S. Pearson
1
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A new family of covariate-adjusted response adaptive designs and their properties
2009
Zhang Li
Feifang Hu
1
+
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
+
On the Two Different Aspects of the Representative Method: The Method of Stratified Sampling and the Method of Purposive Selection
1934
Jerzy Neyman
1
+
PDF
Chat
Confidence intervals for policy evaluation in adaptive experiments
2021
Vitor Hadad
David A. Hirshberg
Ruohan Zhan
Stefan Wager
Susan Athey
1
+
PDF
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Precise unbiased estimation in randomized experiments using auxiliary observational data
2023
Johann A. Gagnon-Bartsch
Adam Sales
Edward MingâYang Wu
Anthony F. Botelho
John A. Erickson
Luke Miratrix
Neil T. Heffernan
1
+
PDF
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Designing experiments informed by observational studies
2021
Evan T. R. Rosenman
Art B. Owen
1
+
PDF
Chat
A Tutorial on Thompson Sampling
2018
Daniel Russo
Benjamin Van Roy
Abbas Kazerouni
Ian Osband
Zheng Wen
1
+
High-Dimensional Statistics
2019
Martin J. Wainwright
1
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Convex Optimization
2004
Stephen Boyd
Lieven Vandenberghe
1
+
PDF
Chat
Covariate-Adjusted Response-Adaptive Designs Based on Semiparametric Approaches
2023
Hai Zhu
Hongjian Zhu
1
+
PDF
Chat
Adaptive Neyman Allocation
2023
Jinglong Zhao
1
+
PDF
Chat
A general characterization of optimal tie-breaker designs
2023
Harrison H. Li
Art B. Owen
1
+
Introduction to Empirical Processes and Semiparametric Inference
2007
Michael R. Kosorok
1
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Cross-Validated Targeted Minimum-Loss-Based Estimation
2011
Wenjing Zheng
Mark J. van der Laan
1
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Why High-Order Polynomials Should Not Be Used in Regression Discontinuity Designs
2017
Andrew Gelman
Guido W. Imbens
1
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PDF
Chat
Consistent Estimation of the Influence Function of Locally Asymptotically Linear Estimators
1987
Chris A. J. Klaassen
1