Special Issue on Semiparametrics and Causal Inference
VOL. 29 · NO. 4 | November 2014
 
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Frontmatter
Statist. Sci. 29 (4), (November 2014)
No abstract available
Statist. Sci. 29 (4), (November 2014)
No abstract available
Articles
Thomas S. Richardson, Andrea Rotnitzky
Statist. Sci. 29 (4), 459-484, (November 2014) DOI: 10.1214/14-STS505
Miroslav Dudík, Dumitru Erhan, John Langford, Lihong Li
Statist. Sci. 29 (4), 485-511, (November 2014) DOI: 10.1214/14-STS500
KEYWORDS: Contextual bandits, doubly robust estimators, Causal inference
Richard D. Gill
Statist. Sci. 29 (4), 512-528, (November 2014) DOI: 10.1214/14-STS490
KEYWORDS: counterfactuals, Bell inequality, CHSH inequality, Tsirelson inequality, Bell’s theorem, Bell experiment, Bell test loophole, nonlocality, local hidden variables, quantum Randi challenge
Niels Keiding, David Clayton
Statist. Sci. 29 (4), 529-558, (November 2014) DOI: 10.1214/13-STS453
KEYWORDS: $2\times2\times K$ table, causality, decomposition of rates, epidemiology, expected number of deaths, Log-linear model, marginal structural model, National Halothane Study, odds ratio, rate ratio, transportability, H. Westergaard, G. U. Yule
Elizabeth L. Ogburn, Tyler J. VanderWeele
Statist. Sci. 29 (4), 559-578, (November 2014) DOI: 10.1214/14-STS501
KEYWORDS: causal diagrams, Causal inference, contagion, DAGs, graphical models, infectiousness, interference, nonparametric identification, social networks, spillover effects
Judea Pearl, Elias Bareinboim
Statist. Sci. 29 (4), 579-595, (November 2014) DOI: 10.1214/14-STS486
KEYWORDS: Experimental design, generalizability, causal effects, External validity
Amy Richardson, Michael G. Hudgens, Peter B. Gilbert, Jason P. Fine
Statist. Sci. 29 (4), 596-618, (November 2014) DOI: 10.1214/14-STS499
KEYWORDS: Causal inference, nonparametric bounds, partially identifiable models, sensitivity analysis
Y. Ritov, P. J. Bickel, A. C. Gamst, B. J. K. Kleijn
Statist. Sci. 29 (4), 619-639, (November 2014) DOI: 10.1214/14-STS483
KEYWORDS: foundations, CODA, Bayesian inference, white noise models, Partial linear model, stopping time, Functional estimation, semiparametrics
Phillip J. Schulte, Anastasios A. Tsiatis, Eric B. Laber, Marie Davidian
Statist. Sci. 29 (4), 640-661, (November 2014) DOI: 10.1214/13-STS450
KEYWORDS: Advantage learning, bias-variance trade-off, model misspecification, Personalized medicine, potential outcomes, sequential decision-making
Peter Spirtes, Jiji Zhang
Statist. Sci. 29 (4), 662-678, (November 2014) DOI: 10.1214/13-STS429
KEYWORDS: Causal inference, uniform consistency, structural equation models, Bayesian networks, Model selection, model search, estimation
Aad van der Vaart
Statist. Sci. 29 (4), 679-686, (November 2014) DOI: 10.1214/14-STS478
KEYWORDS: Semiparametric model, U-statistic, minimax rate of convergence
Tyler J. VanderWeele, Eric J. Tchetgen Tchetgen, M. Elizabeth Halloran
Statist. Sci. 29 (4), 687-706, (November 2014) DOI: 10.1214/14-STS479
KEYWORDS: Causal inference, infectiousness effect, interference, sensitivity analysis, spillover effect, stable unit treatment value assumption, Vaccine trial
Stijn Vansteelandt, Marshall Joffe
Statist. Sci. 29 (4), 707-731, (November 2014) DOI: 10.1214/14-STS493
KEYWORDS: causal effect, confounding, direct effect, instrumental variable, mediation, time-varying confounding
Backmatter
Statist. Sci. 29 (4), (November 2014)
No abstract available
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