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Paul N Zivich

Showing results (1-10 of 69) with videos related to

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Epidemiology (Cambridge, Mass.)|August 16, 2024
Commentary: The Seedy Side of Causal Effect Estimation with Machine LearningPaul N Zivich
Arxiv|March 13, 2026
Towards a Unified Framework for Statistical and Mathematical ModelingPaul N Zivich
American Journal of Epidemiology|August 13, 2024
Re: "Estimating the effect of a treatment when there is nonadherence in a trial"Paul N Zivich
Epidemiology (Cambridge, Mass.)|December 4, 2025
Constructing G-computation Estimators: Two Case Studies in Selection BiasPaul N Zivich, Haidong Lu
Epidemiology (Cambridge, Mass.)|February 16, 2021
Machine Learning for Causal Inference: On the Use of Cross-fit EstimatorsPaul N Zivich, Alexander Breskin
BMJ (Clinical Research Ed.)|December 16, 2025
Causal inference is hard, and advanced statistical analysis is not enoughTimothy Feeney, Paul N Zivich
American Journal of Epidemiology|May 5, 2022
RE: "USING NUMERICAL METHODS TO DESIGN SIMULATIONS: REVISITING THE BALANCING INTERCEPT"Paul N Zivich, Rachael K Ross
American Journal of Epidemiology|May 16, 2024
Invited commentary: mixing multiple imputation and bootstrapping for variance estimationCatherine X Li, Paul N Zivich
American Journal of Epidemiology|October 3, 2024
A primer on neural networksPaul N Zivich, Ashley I Naimi
American Journal of Epidemiology|August 27, 2024
Estimating marginal structural model parameters for time-fixed, binary actions with g-computation and estimating equationsPaul N Zivich, Bonnie E Shook-Sa
Pageof 7

Showing results (1-10 of 69) with videos related to

Sort By:
Pageof 7
Epidemiology (Cambridge, Mass.)|August 16, 2024
Commentary: The Seedy Side of Causal Effect Estimation with Machine LearningPaul N Zivich
Arxiv|March 13, 2026
Towards a Unified Framework for Statistical and Mathematical ModelingPaul N Zivich
American Journal of Epidemiology|August 13, 2024
Re: "Estimating the effect of a treatment when there is nonadherence in a trial"Paul N Zivich
Epidemiology (Cambridge, Mass.)|December 4, 2025
Constructing G-computation Estimators: Two Case Studies in Selection BiasPaul N Zivich, Haidong Lu
Epidemiology (Cambridge, Mass.)|February 16, 2021
Machine Learning for Causal Inference: On the Use of Cross-fit EstimatorsPaul N Zivich, Alexander Breskin
BMJ (Clinical Research Ed.)|December 16, 2025
Causal inference is hard, and advanced statistical analysis is not enoughTimothy Feeney, Paul N Zivich
American Journal of Epidemiology|May 5, 2022
RE: "USING NUMERICAL METHODS TO DESIGN SIMULATIONS: REVISITING THE BALANCING INTERCEPT"Paul N Zivich, Rachael K Ross
American Journal of Epidemiology|May 16, 2024
Invited commentary: mixing multiple imputation and bootstrapping for variance estimationCatherine X Li, Paul N Zivich
American Journal of Epidemiology|October 3, 2024
A primer on neural networksPaul N Zivich, Ashley I Naimi
American Journal of Epidemiology|August 27, 2024
Estimating marginal structural model parameters for time-fixed, binary actions with g-computation and estimating equationsPaul N Zivich, Bonnie E Shook-Sa
Pageof 7