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James M Robins

Showing results (41-50 of 113) with videos related to

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Epidemiology (Cambridge, Mass.)|July 18, 2008
Causal directed acyclic graphs and the direction of unmeasured confounding biasTyler J VanderWeele, Miguel A Hernán, James M Robins
Uncertainty in Artificial Intelligence : Proceedings of the ... Conference. Conference on Uncertainty in Artificial Intelligence|December 31, 2019
Identification In Missing Data Models Represented By Directed Acyclic GraphsRohit Bhattacharya, Razieh Nabi, Ilya Shpitser, et al.
Biometrika|July 24, 2012
Time-dependent cross ratio estimation for bivariate failure timesTianle Hu, Bin Nan, Xihong Lin, et al.
International Journal of Epidemiology|April 13, 2004
On the efficacy of screening for breast cancerDavid A Freedman, Diana B Petitti, James M Robins
Biometrika|July 12, 2013
Improved double-robust estimation in missing data and causal inference modelsAndrea Rotnitzky, Quanhong Lei, Mariela Sued, et al.
Epidemiology (Cambridge, Mass.)|August 17, 2004
A structural approach to selection biasMiguel A Hernán, Sonia Hernández-Díaz, James M Robins
Epidemiology (Cambridge, Mass.)|August 3, 2020
Benchmarking Observational Methods by Comparing Randomized Trials and Their EmulationsIssa J Dahabreh, James M Robins, Miguel A Hernán
Biometrika|October 11, 2012
On doubly robust estimation in a semiparametric odds ratio modelEric J Tchetgen Tchetgen, James M Robins, Andrea Rotnitzky
American Journal of Epidemiology|January 17, 2012
Credible Mendelian randomization studies: approaches for evaluating the instrumental variable assumptionsM Maria Glymour, Eric J Tchetgen Tchetgen, James M Robins
EGEMS (Washington, DC)|November 29, 2016
Comparative Effectiveness Research Using Observational Data: Active Comparators to Emulate Target Trials with Inactive ComparatorsAnders Huitfeldt, Miguel A Hernan, Mette Kalager, et al.
Pageof 12

Showing results (41-50 of 113) with videos related to

Sort By:
Pageof 12
Epidemiology (Cambridge, Mass.)|July 18, 2008
Causal directed acyclic graphs and the direction of unmeasured confounding biasTyler J VanderWeele, Miguel A Hernán, James M Robins
Uncertainty in Artificial Intelligence : Proceedings of the ... Conference. Conference on Uncertainty in Artificial Intelligence|December 31, 2019
Identification In Missing Data Models Represented By Directed Acyclic GraphsRohit Bhattacharya, Razieh Nabi, Ilya Shpitser, et al.
Biometrika|July 24, 2012
Time-dependent cross ratio estimation for bivariate failure timesTianle Hu, Bin Nan, Xihong Lin, et al.
International Journal of Epidemiology|April 13, 2004
On the efficacy of screening for breast cancerDavid A Freedman, Diana B Petitti, James M Robins
Biometrika|July 12, 2013
Improved double-robust estimation in missing data and causal inference modelsAndrea Rotnitzky, Quanhong Lei, Mariela Sued, et al.
Epidemiology (Cambridge, Mass.)|August 17, 2004
A structural approach to selection biasMiguel A Hernán, Sonia Hernández-Díaz, James M Robins
Epidemiology (Cambridge, Mass.)|August 3, 2020
Benchmarking Observational Methods by Comparing Randomized Trials and Their EmulationsIssa J Dahabreh, James M Robins, Miguel A Hernán
Biometrika|October 11, 2012
On doubly robust estimation in a semiparametric odds ratio modelEric J Tchetgen Tchetgen, James M Robins, Andrea Rotnitzky
American Journal of Epidemiology|January 17, 2012
Credible Mendelian randomization studies: approaches for evaluating the instrumental variable assumptionsM Maria Glymour, Eric J Tchetgen Tchetgen, James M Robins
EGEMS (Washington, DC)|November 29, 2016
Comparative Effectiveness Research Using Observational Data: Active Comparators to Emulate Target Trials with Inactive ComparatorsAnders Huitfeldt, Miguel A Hernan, Mette Kalager, et al.
Pageof 12