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Journal of the Royal Statistical Society. Series B, Statistical Methodology
|
September 3, 2013
Marginal log-linear parameters for graphical Markov models
Robin J Evans, Thomas S Richardson
Annals of Statistics
|
January 2, 2015
GENERAL THEORY FOR INTERACTIONS IN SUFFICIENT CAUSE MODELS WITH DICHOTOMOUS EXPOSURES
Tyler J VanderWeele, Thomas S Richardson
Scandinavian Journal of Statistics, Theory and Applications
|
June 8, 2010
Estimating Optimal Dynamic Regimes: Correcting Bias under the Null: [Optimal dynamic regimes: bias correction]
Erica E M Moodie, Thomas S Richardson
Biometrika
|
March 6, 2018
On falsification of the binary instrumental variable model
Linbo Wang, James M Robins, Thomas S Richardson
Biometrika
|
February 13, 2018
Identification and estimation of causal effects with outcomes truncated by death
Linbo Wang, Xiao-Hua Zhou, Thomas S Richardson
Journal of the Royal Statistical Society. Series B, Statistical Methodology
|
May 2, 2017
Causal analysis of ordinal treatments and binary outcomes under truncation by death
Linbo Wang, Thomas S Richardson, Xiao-Hua Zhou
Biometrics
|
November 3, 2017
Discussion of "Data-driven confounder selection via Markov and Bayesian networks" by Häggström
Thomas S Richardson, James M Robins, Linbo Wang
Uncertainty in Artificial Intelligence : Proceedings of the ... Conference. Conference on Uncertainty in Artificial Intelligence
|
April 16, 2019
Acyclic Linear SEMs Obey the Nested Markov Property
Ilya Shpitser, Robin J Evans, Thomas S Richardson
Journal of the American Statistical Association
|
December 8, 2015
Resolving Contested Elections: The Limited Power of Post-Vote Vote-Choice Data
Adam N Glynn, Thomas S Richardson, Mark S Handcock
Journal of the Royal Statistical Society. Series A, (Statistics in Society)
|
January 7, 2010
Alleviating Linear Ecological Bias and Optimal Design with Sub-sample Data
Adam Glynn, Jon Wakefield, Mark S Handcock, et al.
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Search research articles
Search
Showing results (1-10 of 19) with videos related to
Sort By:
Page
of 2
Journal of the Royal Statistical Society. Series B, Statistical Methodology
|
September 3, 2013
Marginal log-linear parameters for graphical Markov models
Robin J Evans, Thomas S Richardson
Annals of Statistics
|
January 2, 2015
GENERAL THEORY FOR INTERACTIONS IN SUFFICIENT CAUSE MODELS WITH DICHOTOMOUS EXPOSURES
Tyler J VanderWeele, Thomas S Richardson
Scandinavian Journal of Statistics, Theory and Applications
|
June 8, 2010
Estimating Optimal Dynamic Regimes: Correcting Bias under the Null: [Optimal dynamic regimes: bias correction]
Erica E M Moodie, Thomas S Richardson
Biometrika
|
March 6, 2018
On falsification of the binary instrumental variable model
Linbo Wang, James M Robins, Thomas S Richardson
Biometrika
|
February 13, 2018
Identification and estimation of causal effects with outcomes truncated by death
Linbo Wang, Xiao-Hua Zhou, Thomas S Richardson
Journal of the Royal Statistical Society. Series B, Statistical Methodology
|
May 2, 2017
Causal analysis of ordinal treatments and binary outcomes under truncation by death
Linbo Wang, Thomas S Richardson, Xiao-Hua Zhou
Biometrics
|
November 3, 2017
Discussion of "Data-driven confounder selection via Markov and Bayesian networks" by Häggström
Thomas S Richardson, James M Robins, Linbo Wang
Uncertainty in Artificial Intelligence : Proceedings of the ... Conference. Conference on Uncertainty in Artificial Intelligence
|
April 16, 2019
Acyclic Linear SEMs Obey the Nested Markov Property
Ilya Shpitser, Robin J Evans, Thomas S Richardson
Journal of the American Statistical Association
|
December 8, 2015
Resolving Contested Elections: The Limited Power of Post-Vote Vote-Choice Data
Adam N Glynn, Thomas S Richardson, Mark S Handcock
Journal of the Royal Statistical Society. Series A, (Statistics in Society)
|
January 7, 2010
Alleviating Linear Ecological Bias and Optimal Design with Sub-sample Data
Adam Glynn, Jon Wakefield, Mark S Handcock, et al.
Page
of 2