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Iván Díaz

Showing results (1-10 of 107) with videos related to

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Biostatistics (Oxford, England)|November 20, 2019
Machine learning in the estimation of causal effects: targeted minimum loss-based estimation and double/debiased machine learningIván Díaz
Statistics in Medicine|April 6, 2019
Statistical inference for data-adaptive doubly robust estimators with survival outcomesIván Díaz
Observational Studies|May 11, 2026
Errata to: "lmtp: An R Package for Estimating the Causal Effects of Modified Treatment Policies"Nicholas Williams, Iván Díaz
The International Journal of Biostatistics|July 22, 2015
Targeted Maximum Likelihood Estimation using Exponential FamiliesIván Díaz, Michael Rosenblum
Biostatistics (Oxford, England)|February 2, 2021
Efficiently transporting causal direct and indirect effects to new populations under intermediate confounding and with multiple mediatorsKara E Rudolph, Iván Díaz
Journal of the Royal Statistical Society. Series A, (Statistics in Society)|July 3, 2023
When the Ends do not Justify the Means: Learning Who is Predicted to Have Harmful Indirect EffectsKara E Rudolph, Iván Díaz
Biometrics|November 18, 2015
Enhanced precision in the analysis of randomized trials with ordinal outcomesIván Díaz, Elizabeth Colantuoni, Michael Rosenblum
Biostatistics (Oxford, England)|June 13, 2020
Nonparametric targeted Bayesian estimation of class proportions in unlabeled dataIván Díaz, Oleksander Savenkov, Hooman Kamel
Journal of the Royal Statistical Society. Series A, (Statistics in Society)|October 17, 2022
Optimising precision and power by machine learning in randomised trials with ordinal and time-to-event outcomes with an application to COVID-19Nicholas Williams, Michael Rosenblum, Iván Díaz
Epidemiology (Cambridge, Mass.)|March 30, 2021
Helped into Harm: Mediation of a Housing Voucher Intervention on Mental Health and Substance Use in BoysKara E Rudolph, Catherine Gimbrone, Iván Díaz
Pageof 11

Showing results (1-10 of 107) with videos related to

Sort By:
Pageof 11
Biostatistics (Oxford, England)|November 20, 2019
Machine learning in the estimation of causal effects: targeted minimum loss-based estimation and double/debiased machine learningIván Díaz
Statistics in Medicine|April 6, 2019
Statistical inference for data-adaptive doubly robust estimators with survival outcomesIván Díaz
Observational Studies|May 11, 2026
Errata to: "lmtp: An R Package for Estimating the Causal Effects of Modified Treatment Policies"Nicholas Williams, Iván Díaz
The International Journal of Biostatistics|July 22, 2015
Targeted Maximum Likelihood Estimation using Exponential FamiliesIván Díaz, Michael Rosenblum
Biostatistics (Oxford, England)|February 2, 2021
Efficiently transporting causal direct and indirect effects to new populations under intermediate confounding and with multiple mediatorsKara E Rudolph, Iván Díaz
Journal of the Royal Statistical Society. Series A, (Statistics in Society)|July 3, 2023
When the Ends do not Justify the Means: Learning Who is Predicted to Have Harmful Indirect EffectsKara E Rudolph, Iván Díaz
Biometrics|November 18, 2015
Enhanced precision in the analysis of randomized trials with ordinal outcomesIván Díaz, Elizabeth Colantuoni, Michael Rosenblum
Biostatistics (Oxford, England)|June 13, 2020
Nonparametric targeted Bayesian estimation of class proportions in unlabeled dataIván Díaz, Oleksander Savenkov, Hooman Kamel
Journal of the Royal Statistical Society. Series A, (Statistics in Society)|October 17, 2022
Optimising precision and power by machine learning in randomised trials with ordinal and time-to-event outcomes with an application to COVID-19Nicholas Williams, Michael Rosenblum, Iván Díaz
Epidemiology (Cambridge, Mass.)|March 30, 2021
Helped into Harm: Mediation of a Housing Voucher Intervention on Mental Health and Substance Use in BoysKara E Rudolph, Catherine Gimbrone, Iván Díaz
Pageof 11