Special Issue on Causal Inference
VOL. 35 · NO. 3 | August 2020
 
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Frontmatter
Statist. Sci. 35 (3), (August 2020)
No abstract available
Statist. Sci. 35 (3), (August 2020)
No abstract available
Articles
Jason Roy, Dylan Small
Statist. Sci. 35 (3), 335-337, (August 2020) DOI: 10.1214/20-STS800
No abstract available
Ruoqi Yu, Jeffrey H. Silber, Paul R. Rosenbaum
Statist. Sci. 35 (3), 338-355, (August 2020) DOI: 10.1214/19-STS699
KEYWORDS: Causal inference, fine balance, Glover’s algorithm, observational study, optimal caliper, optimal matching, propensity score
Fredrik Sävje
Statist. Sci. 35 (3), 356-360, (August 2020) DOI: 10.1214/19-STS739
No abstract available
Mark M. Fredrickson, Josh Errickson, Ben B. Hansen
Statist. Sci. 35 (3), 361-366, (August 2020) DOI: 10.1214/19-STS740
No abstract available
Elizabeth A. Stuart, Benjamin Ackerman
Statist. Sci. 35 (3), 367-370, (August 2020) DOI: 10.1214/19-STS741
No abstract available
Ruoqi Yu, Jeffrey H. Silber, Paul R. Rosenbaum
Statist. Sci. 35 (3), 371-374, (August 2020) DOI: 10.1214/20-STS790
No abstract available
Tianchen Qian, Predrag Klasnja, Susan A. Murphy
Statist. Sci. 35 (3), 375-390, (August 2020) DOI: 10.1214/19-STS720
KEYWORDS: linear mixed model, endogenous covariates, micro-randomized trial, Causal inference
Erica E. M. Moodie, David A. Stephens
Statist. Sci. 35 (3), 391-393, (August 2020) DOI: 10.1214/20-STS777
No abstract available
Kristin A. Linn
Statist. Sci. 35 (3), 394-395, (August 2020) DOI: 10.1214/20-STS781
KEYWORDS: linear mixed model, endogenous covariates, microrandomized trial, Causal inference
Hunyong Cho, Joshua P. Zitovsky, Xinyi Li, Minxin Lu, Kushal Shah, John Sperger, Matthew C. B. Tsilimigras, Michael R. Kosorok
Statist. Sci. 35 (3), 396-399, (August 2020) DOI: 10.1214/20-STS782
KEYWORDS: linear mixed models, partial likelihood, conditional independence test, marginal effects, kernel mixed models
Tianchen Qian, Predrag Klasnja, Susan A. Murphy
Statist. Sci. 35 (3), 400-403, (August 2020) DOI: 10.1214/20-STS794
No abstract available
Peter Bühlmann
Statist. Sci. 35 (3), 404-426, (August 2020) DOI: 10.1214/19-STS721
KEYWORDS: Anchor regression, causal regularization, distributional robustness, heterogeneous data, instrumental variables regression, interventional data, random forests, variable importance
Vanessa Didelez
Statist. Sci. 35 (3), 427-429, (August 2020) DOI: 10.1214/20-STS768
No abstract available
Stefan Wager
Statist. Sci. 35 (3), 430-433, (August 2020) DOI: 10.1214/20-STS772
No abstract available
Peter Bühlmann
Statist. Sci. 35 (3), 434-436, (August 2020) DOI: 10.1214/20-STS797
KEYWORDS: Anchor regression, causal regularization, distributional robustness, heterogeneous treatment effects, instrumental variables regression, random forests
Tyler J. VanderWeele, Maya B. Mathur, Ying Chen
Statist. Sci. 35 (3), 437-466, (August 2020) DOI: 10.1214/19-STS728
KEYWORDS: Causal inference, confounding, multiple testing, sensitivity analysis, bias, longitudinal data
Stijn Vansteelandt, Oliver Dukes
Statist. Sci. 35 (3), 467-471, (August 2020) DOI: 10.1214/20-STS769
No abstract available
Ashkan Ertefaie, Brent A. Johnson
Statist. Sci. 35 (3), 472-475, (August 2020) DOI: 10.1214/20-STS771
No abstract available
Rhian Daniel
Statist. Sci. 35 (3), 476-478, (August 2020) DOI: 10.1214/20-STS776
No abstract available
Tyler J. VanderWeele, Maya B. Mathur, Ying Chen
Statist. Sci. 35 (3), 479-483, (August 2020) DOI: 10.1214/20-STS791
No abstract available
David Benkeser, Weixin Cai, Mark J. van der Laan
Statist. Sci. 35 (3), 484-495, (August 2020) DOI: 10.1214/19-STS735
KEYWORDS: Causal inference, Average treatment effect, Asymptotic linearity, efficient influence function, collaborative targeted minimum loss estimation, super efficiency
Mireille E. Schnitzer
Statist. Sci. 35 (3), 496-498, (August 2020) DOI: 10.1214/20-STS770
No abstract available
Susan M. Shortreed, Erica E. M. Moodie
Statist. Sci. 35 (3), 499-502, (August 2020) DOI: 10.1214/20-STS773
No abstract available
Fan Li
Statist. Sci. 35 (3), 503-510, (August 2020) DOI: 10.1214/20-STS774
KEYWORDS: efficient influence function, overlap weighting, Trimming, one-step estimation, targeted maximum likelihood estimation
David Benkeser, Weixin Cai, Mark J. van der Laan
Statist. Sci. 35 (3), 511-517, (August 2020) DOI: 10.1214/20-STS789
No abstract available
Lin Liu, Rajarshi Mukherjee, James M. Robins
Statist. Sci. 35 (3), 518-539, (August 2020) DOI: 10.1214/20-STS786
KEYWORDS: Causal inference, assumption-free, valid inference, U-statistics, higher-order influence functions
Edward H. Kennedy, Sivaraman Balakrishnan, Larry Wasserman
Statist. Sci. 35 (3), 540-544, (August 2020) DOI: 10.1214/20-STS796
No abstract available
Lin Liu, Rajarshi Mukherjee, James M. Robins
Statist. Sci. 35 (3), 545-554, (August 2020) DOI: 10.1214/20-STS804
No abstract available
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