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Journal of the American Statistical Association
|
October 1, 2019
Inverse probability weighted estimation of risk under representative interventions in observational studies
Jessica 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-formula
Sarah 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 Times
Anders Huitfeldt, Mette Kalager, James M Robins, et al.
American Journal of Epidemiology
|
September 2, 2020
Potential Biases Arising From Epidemic Dynamics in Observational Seroprotection Studies
Rebecca 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 studies
Rebecca 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 approach
Tyler 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 treatments
Miguel 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 randomization
Sengwee 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 change
M Maria Glymour, Jennifer Weuve, Lisa F Berkman, et al.
Observational Studies
|
June 9, 2025
Nonparametric identification is not enough, but randomized controlled trials are
P M Aronow, James M Robins, Theo Saarinen, et al.
Page
of 12
Search research articles
Search
Showing results (61-70 of 113) with videos related to
Sort By:
Page
of 12
Journal of the American Statistical Association
|
October 1, 2019
Inverse probability weighted estimation of risk under representative interventions in observational studies
Jessica 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-formula
Sarah 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 Times
Anders Huitfeldt, Mette Kalager, James M Robins, et al.
American Journal of Epidemiology
|
September 2, 2020
Potential Biases Arising From Epidemic Dynamics in Observational Seroprotection Studies
Rebecca 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 studies
Rebecca 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 approach
Tyler 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 treatments
Miguel 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 randomization
Sengwee 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 change
M Maria Glymour, Jennifer Weuve, Lisa F Berkman, et al.
Observational Studies
|
June 9, 2025
Nonparametric identification is not enough, but randomized controlled trials are
P M Aronow, James M Robins, Theo Saarinen, et al.
Page
of 12