| Response-adaptive randomization in clinical trials: from myths to practical considerations |
David S Robertson, Kim May Lee, Boryana C Lopez-Kolkovska, and Sofia S Villar
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| Comment: A Quarter Century of Methodological Research in Response-Adaptive Randomization |
Anastasia Ivanova and William F Rosenberger
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| Discussion of “Response-adaptive randomization in clinical trials: from myths to practical considerations” |
Yunshan Duan, Peter Mueller, and Yuan Ji
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| Advancing Clinical Trials with Novel Designs and Implementations |
Lorenzo Trippa and Yanxun Xu
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| Group sequential designs with response-adaptive randomisation |
Christopher Jennison
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| Is Response-Adaptive Randomization a “good thing” or not in clinical trials? Why we cannot take sides |
Alessandra Giovagnoli
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| Response Adaptive Randomization in Practice: A Discussion of Robertson et al. |
Scott M Berry and Kert Viele
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| Rejoinder: Response-adaptive randomization in clinical trials |
David S. Robertson, Kim May Lee, Boryana C. López-Kolkovska, and Sofía S. Villar
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| Efficient data augmentation techniques for some classes of state space models |
Linda S. L. Tan
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| Distributed Bayesian Inference in Massive Spatial Data |
Rajarshi Guhaniyogi, Cheng Li, Terrance Savitsky, and Sanvesh Srivastava
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| The Secret Life of I. J. Good |
Sandy Zabell
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| Cross-study replicability in cluster analysis |
Lorenzo Masoero, Emma Thomas, Giovanni Parmigiani, Svitlana Tyekucheva, and Lorenzo Trippa
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| Principal Fairness for Human and Algorithmic Decision-Making |
Kosuke Imai and Zhichao Jiang
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| Conversations with Gábor J. Székely |
Yulia R. Gel, Judy Wang, and Edsel Pena
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| Confidence and discoveries with e-values |
Vladimir Vovk and Ruodu Wang
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| Approximating Bayes in the 21st Century |
Gael M Martin, David T Frazier, and Christian P Robert
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| Computing Bayes: From Then `Til Now |
Gael M Martin, David T Frazier, and Christian P Robert
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| A Conversation with Mary E. Thompson |
Rhonda J. Rosychuk
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| A Conversation with Stephen M. Stigler |
Sam Behseta
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| The role of exchangeability in causal inference |
Olli Saarela, David A. Stephens, and Erica E. M. Moodie
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| Aitchison’s Compositional Data Analysis 40 years On: A Reappraisal |
Michael Greenacre, Eric Grunsky, John Bacon-Shone, Ionas Erb, and Thomas Quinn
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| Statistical embedding: Beyond principal components |
Dag Tjøstheim, Martin Jullum, and Anders Løland
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| Are Biases That Matter Detectable in Observational Studies? |
Paul R Rosenbaum
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| Experimental Design in Marketplaces |
Patrick Bajari, Brian Burdick, Guido Imbens, Lorenzo Masoero, James Mcqueen, Thomas Richardson, and Ido Rosen
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| A probabilistic view on predictive constructions for Bayesian learning |
Patrizia Berti, Emanuela Dreassi, Fabrizio Leisen, Luca Pratelli, and Pietro Rigo
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| Parameter Restrictions for the Sake of Identification: Is there Utility in Asserting that Perhaps a Restriction Holds? |
Paul Gustafson
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| Variational inference for cutting feedback in misspecified models |
Xuejun Yu, David John Nott, and Michael Stanley Smith
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| Note on Legendre’s Method of Least Squares |
Jukka Nyblom
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| Living on the Edge: An Unified Approach to Antithetic Sampling |
Roberto Casarin, Radu V. Craiu, Lorenzo Frattarolo, and Christian P. Robert
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| Causal inference methods for combining randomized trials and observational studies: a review |
Bénédicte Colnet, Imke Mayer, Guanhua Chen, Awa Dieng, Ruohong Li, Gaël Varoquaux, Jean-Philippe Vert, Julie Josse, and Shu Yang
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| Methods for Integrating Trials and Non-Experimental Data to Examine Treatment Effect Heterogeneity |
Carly Lupton Brantner, Ting-Hsuan Chang, Trang Quynh Nguyen, Hwanhee Hong, Leon DiStefano, and Elizabeth A. Stuart
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| Defining Replicability of Prediction Rules |
Giovanni Parmigiani
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| Replicability Across Multiple Studies |
Marina Bogomolov and Ruth Heller
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