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James M Robins

Showing results (61-70 of 113) with videos related to

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Journal of the American Statistical Association|October 1, 2019
Inverse probability weighted estimation of risk under representative interventions in observational studiesJessica G Young, Roger W Logan, James M Robins, et al.
International Journal of Epidemiology|April 25, 2009
Intervening on risk factors for coronary heart disease: an application of the parametric g-formulaSarah L Taubman, James M Robins, Murray A Mittleman, et al.
Current Epidemiology Reports|November 21, 2015
Methods to Estimate the Comparative Effectiveness of Clinical Strategies that Administer the Same Intervention at Different TimesAnders Huitfeldt, Mette Kalager, James M Robins, et al.
American Journal of Epidemiology|September 2, 2020
Potential Biases Arising From Epidemic Dynamics in Observational Seroprotection StudiesRebecca Kahn, Lee Kennedy-Shaffer, Yonatan H Grad, et al.
Medrxiv : the Preprint Server for Health Sciences|June 9, 2020
Potential biases arising from epidemic dynamics in observational seroprotection studiesRebecca Kahn, Lee Kennedy-Shaffer, Yonatan H Grad, et al.
International Journal of Epidemiology|August 16, 2016
Re: Causality and causal inference in epidemiology: the need for a pluralistic approachTyler J VanderWeele, Miguel A Hernán, Eric J Tchetgen Tchetgen, et al.
Pharmacoepidemiology and Drug Safety|January 22, 2005
Structural accelerated failure time models for survival analysis in studies with time-varying treatmentsMiguel A Hernán, Stephen R Cole, Joseph Margolick, et al.
Epidemiology (Cambridge, Mass.)|June 8, 2010
Estimating absolute risks in the presence of nonadherence: an application to a follow-up study with baseline randomizationSengwee Toh, Sonia Hernández-Díaz, Roger Logan, et al.
American Journal of Epidemiology|July 1, 2005
When is baseline adjustment useful in analyses of change? An example with education and cognitive changeM Maria Glymour, Jennifer Weuve, Lisa F Berkman, et al.
Observational Studies|June 9, 2025
Nonparametric identification is not enough, but randomized controlled trials areP M Aronow, James M Robins, Theo Saarinen, et al.
Pageof 12

Showing results (61-70 of 113) with videos related to

Sort By:
Pageof 12
Journal of the American Statistical Association|October 1, 2019
Inverse probability weighted estimation of risk under representative interventions in observational studiesJessica G Young, Roger W Logan, James M Robins, et al.
International Journal of Epidemiology|April 25, 2009
Intervening on risk factors for coronary heart disease: an application of the parametric g-formulaSarah L Taubman, James M Robins, Murray A Mittleman, et al.
Current Epidemiology Reports|November 21, 2015
Methods to Estimate the Comparative Effectiveness of Clinical Strategies that Administer the Same Intervention at Different TimesAnders Huitfeldt, Mette Kalager, James M Robins, et al.
American Journal of Epidemiology|September 2, 2020
Potential Biases Arising From Epidemic Dynamics in Observational Seroprotection StudiesRebecca Kahn, Lee Kennedy-Shaffer, Yonatan H Grad, et al.
Medrxiv : the Preprint Server for Health Sciences|June 9, 2020
Potential biases arising from epidemic dynamics in observational seroprotection studiesRebecca Kahn, Lee Kennedy-Shaffer, Yonatan H Grad, et al.
International Journal of Epidemiology|August 16, 2016
Re: Causality and causal inference in epidemiology: the need for a pluralistic approachTyler J VanderWeele, Miguel A Hernán, Eric J Tchetgen Tchetgen, et al.
Pharmacoepidemiology and Drug Safety|January 22, 2005
Structural accelerated failure time models for survival analysis in studies with time-varying treatmentsMiguel A Hernán, Stephen R Cole, Joseph Margolick, et al.
Epidemiology (Cambridge, Mass.)|June 8, 2010
Estimating absolute risks in the presence of nonadherence: an application to a follow-up study with baseline randomizationSengwee Toh, Sonia Hernández-Díaz, Roger Logan, et al.
American Journal of Epidemiology|July 1, 2005
When is baseline adjustment useful in analyses of change? An example with education and cognitive changeM Maria Glymour, Jennifer Weuve, Lisa F Berkman, et al.
Observational Studies|June 9, 2025
Nonparametric identification is not enough, but randomized controlled trials areP M Aronow, James M Robins, Theo Saarinen, et al.
Pageof 12