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Tyler J Vanderweele

Showing results (81-90 of 517) with videos related to

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American Journal of Epidemiology|November 8, 2011
A weighting approach to causal effects and additive interaction in case-control studies: marginal structural linear odds modelsTyler J VanderWeele, Stijn Vansteelandt
American Journal of Epidemiology|March 5, 2020
Chen and VanderWeele Respond to "Religion, Spirituality, and Health"Ying Chen, Tyler J VanderWeele
Sociological Methods & Research|May 5, 2025
Opening the Blackbox of Treatment Interference: Tracing Treatment Diffusion through Network AnalysisWeihua An, Tyler J VanderWeele
Psychological Methods|February 6, 2013
Mediation analysis allowing for exposure-mediator interactions and causal interpretation: theoretical assumptions and implementation with SAS and SPSS macrosLinda Valeri, Tyler J Vanderweele
American Journal of Epidemiology|December 18, 2014
Additive interaction in the presence of a mismeasured outcomeZhichao Jiang, Tyler J VanderWeele
Biostatistics (Oxford, England)|March 28, 2014
The estimation of direct and indirect causal effects in the presence of misclassified binary mediatorLinda Valeri, Tyler J Vanderweele
Epidemiology (Cambridge, Mass.)|February 3, 2015
SAS macro for causal mediation analysis with survival dataLinda Valeri, Tyler J VanderWeele
Journal of the Royal Statistical Society. Series B, Statistical Methodology|February 23, 2023
A statistical test to reject the structural interpretation of a latent factor modelTyler J VanderWeele, Stijn Vansteelandt
Epidemiology (Cambridge, Mass.)|June 22, 2016
Sufficient Cause Representation of the Four-way Decomposition for Mediation and InteractionTyler J VanderWeele, Ian Shrier
Biometrika|June 10, 2016
Sharp sensitivity bounds for mediation under unmeasured mediator-outcome confoundingPeng Ding, Tyler J Vanderweele
Pageof 52

Showing results (81-90 of 517) with videos related to

Sort By:
Pageof 52
American Journal of Epidemiology|November 8, 2011
A weighting approach to causal effects and additive interaction in case-control studies: marginal structural linear odds modelsTyler J VanderWeele, Stijn Vansteelandt
American Journal of Epidemiology|March 5, 2020
Chen and VanderWeele Respond to "Religion, Spirituality, and Health"Ying Chen, Tyler J VanderWeele
Sociological Methods & Research|May 5, 2025
Opening the Blackbox of Treatment Interference: Tracing Treatment Diffusion through Network AnalysisWeihua An, Tyler J VanderWeele
Psychological Methods|February 6, 2013
Mediation analysis allowing for exposure-mediator interactions and causal interpretation: theoretical assumptions and implementation with SAS and SPSS macrosLinda Valeri, Tyler J Vanderweele
American Journal of Epidemiology|December 18, 2014
Additive interaction in the presence of a mismeasured outcomeZhichao Jiang, Tyler J VanderWeele
Biostatistics (Oxford, England)|March 28, 2014
The estimation of direct and indirect causal effects in the presence of misclassified binary mediatorLinda Valeri, Tyler J Vanderweele
Epidemiology (Cambridge, Mass.)|February 3, 2015
SAS macro for causal mediation analysis with survival dataLinda Valeri, Tyler J VanderWeele
Journal of the Royal Statistical Society. Series B, Statistical Methodology|February 23, 2023
A statistical test to reject the structural interpretation of a latent factor modelTyler J VanderWeele, Stijn Vansteelandt
Epidemiology (Cambridge, Mass.)|June 22, 2016
Sufficient Cause Representation of the Four-way Decomposition for Mediation and InteractionTyler J VanderWeele, Ian Shrier
Biometrika|June 10, 2016
Sharp sensitivity bounds for mediation under unmeasured mediator-outcome confoundingPeng Ding, Tyler J Vanderweele
Pageof 52