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James M Robins

Showing results (71-80 of 113) with videos related to

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Observational Studies|June 9, 2025
Rejoinder: Nonparametric identification is not enough, but randomized controlled trials areP M Aronow, James M Robins, Theo Saarinen, et al.
European Journal of Epidemiology|October 6, 2016
Smoking cessation and long-term weight gain in the Framingham Heart Study: an application of the parametric g-formula for a continuous outcomePriyanka Jain, Goodarz Danaei, James M Robins, et al.
Epidemiology (Cambridge, Mass.)|October 1, 2019
Weight Gain After Smoking Cessation and Lifestyle Strategies to Reduce itPriyanka Jain, Goodarz Danaei, JoAnn E Manson, et al.
Epidemiology (Cambridge, Mass.)|February 10, 2012
A mapping between interactions and interference: implications for vaccine trialsTyler J VanderWeele, Jan P Vandenbroucke, Eric J Tchetgen Tchetgen, et al.
American Journal of Epidemiology|May 5, 2007
Determining the effect of highly active antiretroviral therapy on changes in human immunodeficiency virus type 1 RNA viral load using a marginal structural left-censored mean modelStephen R Cole, Miguel A Hernán, Kathryn Anastos, et al.
Statistics in Medicine|February 26, 2004
Sensitivity analyses for unmeasured confounding assuming a marginal structural model for repeated measuresBabette A Brumback, Miguel A Hernán, Sebastien J P A Haneuse, et al.
Journal of the American Statistical Association|December 19, 2013
Structural Nested Cumulative Failure Time Models to Estimate the Effects of InterventionsSally Picciotto, Miguel A Hernán, John H Page, et al.
Lancet (London, England)|April 17, 2002
Methotrexate and mortality in patients with rheumatoid arthritis: a prospective studyHyon K Choi, Miguel A Hernán, John D Seeger, et al.
Journal of the American Statistical Association|September 21, 2019
Partial Identification of the Average Treatment Effect Using Instrumental Variables: Review of Methods for Binary Instruments, Treatments, and OutcomesSonja A Swanson, Miguel A Hernán, Matthew Miller, et al.
American Journal of Epidemiology|August 26, 2017
A Comparison of Agent-Based Models and the Parametric G-Formula for Causal InferenceEleanor J Murray, James M Robins, George R Seage, et al.
Pageof 12

Showing results (71-80 of 113) with videos related to

Sort By:
Pageof 12
Observational Studies|June 9, 2025
Rejoinder: Nonparametric identification is not enough, but randomized controlled trials areP M Aronow, James M Robins, Theo Saarinen, et al.
European Journal of Epidemiology|October 6, 2016
Smoking cessation and long-term weight gain in the Framingham Heart Study: an application of the parametric g-formula for a continuous outcomePriyanka Jain, Goodarz Danaei, James M Robins, et al.
Epidemiology (Cambridge, Mass.)|October 1, 2019
Weight Gain After Smoking Cessation and Lifestyle Strategies to Reduce itPriyanka Jain, Goodarz Danaei, JoAnn E Manson, et al.
Epidemiology (Cambridge, Mass.)|February 10, 2012
A mapping between interactions and interference: implications for vaccine trialsTyler J VanderWeele, Jan P Vandenbroucke, Eric J Tchetgen Tchetgen, et al.
American Journal of Epidemiology|May 5, 2007
Determining the effect of highly active antiretroviral therapy on changes in human immunodeficiency virus type 1 RNA viral load using a marginal structural left-censored mean modelStephen R Cole, Miguel A Hernán, Kathryn Anastos, et al.
Statistics in Medicine|February 26, 2004
Sensitivity analyses for unmeasured confounding assuming a marginal structural model for repeated measuresBabette A Brumback, Miguel A Hernán, Sebastien J P A Haneuse, et al.
Journal of the American Statistical Association|December 19, 2013
Structural Nested Cumulative Failure Time Models to Estimate the Effects of InterventionsSally Picciotto, Miguel A Hernán, John H Page, et al.
Lancet (London, England)|April 17, 2002
Methotrexate and mortality in patients with rheumatoid arthritis: a prospective studyHyon K Choi, Miguel A Hernán, John D Seeger, et al.
Journal of the American Statistical Association|September 21, 2019
Partial Identification of the Average Treatment Effect Using Instrumental Variables: Review of Methods for Binary Instruments, Treatments, and OutcomesSonja A Swanson, Miguel A Hernán, Matthew Miller, et al.
American Journal of Epidemiology|August 26, 2017
A Comparison of Agent-Based Models and the Parametric G-Formula for Causal InferenceEleanor J Murray, James M Robins, George R Seage, et al.
Pageof 12