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James M Robins

Showing results (21-30 of 113) with videos related to

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Biometrics|November 3, 2017
Discussion of "Data-driven confounder selection via Markov and Bayesian networks" by HäggströmThomas S Richardson, James M Robins, Linbo Wang
American Journal of Epidemiology|September 19, 2007
Effect modification by time-varying covariatesJames M Robins, Miguel A Hernán, Andrea Rotnitzky
Nature|December 17, 2004
Transmissibility of 1918 pandemic influenzaChristina E Mills, James M Robins, Marc Lipsitch
American Journal of Epidemiology|January 14, 2010
Marginal structural models for sufficient cause interactionsTyler J Vanderweele, Stijn Vansteelandt, James M Robins
Biometrika|March 6, 2018
On falsification of the binary instrumental variable modelLinbo Wang, James M Robins, Thomas S Richardson
Biometrics|October 3, 2022
Rejoinder: A formal causal interpretation of the case-crossover designZach Shahn, Miguel A Hernán, James M Robins
Scandinavian Journal of Statistics, Theory and Applications|August 29, 2022
MULTIPLY ROBUST ESTIMATORS OF CAUSAL EFFECTS FOR SURVIVAL OUTCOMESLan Wen, Miguel A Hernán, James M Robins
Journal of the American Statistical Association|May 24, 2011
Multiply robust inference for statistical interactionsStijn Vansteelandt, Tyler J Vanderweele, James M Robins
Journal of the Royal Statistical Society. Series B, Statistical Methodology|January 6, 2015
Semiparametric tests for sufficient cause interactionStijn Vansteelandt, Tyler J VanderWeele, James M Robins
Epidemiology (Cambridge, Mass.)|February 4, 2014
Effect decomposition in the presence of an exposure-induced mediator-outcome confounderTyler J Vanderweele, Stijn Vansteelandt, James M Robins
Pageof 12

Showing results (21-30 of 113) with videos related to

Sort By:
Pageof 12
Biometrics|November 3, 2017
Discussion of "Data-driven confounder selection via Markov and Bayesian networks" by HäggströmThomas S Richardson, James M Robins, Linbo Wang
American Journal of Epidemiology|September 19, 2007
Effect modification by time-varying covariatesJames M Robins, Miguel A Hernán, Andrea Rotnitzky
Nature|December 17, 2004
Transmissibility of 1918 pandemic influenzaChristina E Mills, James M Robins, Marc Lipsitch
American Journal of Epidemiology|January 14, 2010
Marginal structural models for sufficient cause interactionsTyler J Vanderweele, Stijn Vansteelandt, James M Robins
Biometrika|March 6, 2018
On falsification of the binary instrumental variable modelLinbo Wang, James M Robins, Thomas S Richardson
Biometrics|October 3, 2022
Rejoinder: A formal causal interpretation of the case-crossover designZach Shahn, Miguel A Hernán, James M Robins
Scandinavian Journal of Statistics, Theory and Applications|August 29, 2022
MULTIPLY ROBUST ESTIMATORS OF CAUSAL EFFECTS FOR SURVIVAL OUTCOMESLan Wen, Miguel A Hernán, James M Robins
Journal of the American Statistical Association|May 24, 2011
Multiply robust inference for statistical interactionsStijn Vansteelandt, Tyler J Vanderweele, James M Robins
Journal of the Royal Statistical Society. Series B, Statistical Methodology|January 6, 2015
Semiparametric tests for sufficient cause interactionStijn Vansteelandt, Tyler J VanderWeele, James M Robins
Epidemiology (Cambridge, Mass.)|February 4, 2014
Effect decomposition in the presence of an exposure-induced mediator-outcome confounderTyler J Vanderweele, Stijn Vansteelandt, James M Robins
Pageof 12