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Alexander P Keil

Showing results (11-20 of 138) with videos related to

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European Journal of Epidemiology|May 11, 2018
You are smarter than you think: (super) machine learning in contextAlexander P Keil, Jessie K Edwards
American Journal of Epidemiology|June 7, 2025
(Re-)match: adjusting for matching factors in case-control studies may be unnecessary or insufficientMaria E Kamenetsky, Alexander P Keil
American Journal of Epidemiology|March 18, 2026
Bringing spatial confounding into the causal inferential foldAlexander P Keil, Maria E Kamenetsky
American Journal of Epidemiology|July 7, 2017
Invited Commentary: Causal Inference Across Space and Time-Quixotic Quest, Worthy Goal, or Both?Jessie K Edwards, Catherine R Lesko, Alexander P Keil
American Journal of Epidemiology|April 4, 2015
Healthy worker survivor bias in the Colorado Plateau uranium miners cohortAlexander P Keil, David B Richardson, Melissa A Troester
American Journal of Epidemiology|June 3, 2021
Keil et al. Respond to "Causal Inference for Environmental Mixtures"Alexander P Keil, Jessie P Buckley, Amy E Kalkbrenner
American Journal of Epidemiology|March 25, 2020
The Epidemiologic Toolbox: Identifying, Honing, and Using the Right Tools for the JobCatherine R Lesko, Alexander P Keil, Jessie K Edwards
American Journal of Epidemiology|March 22, 2021
Thirteen Questions About Using Machine Learning in Causal Research (You Won't Believe the Answer to Number 10!)Stephen J Mooney, Alexander P Keil, Daniel J Westreich
American Journal of Epidemiology|March 22, 2021
Bayesian G-Computation for Estimating Impacts of Interventions on Exposure Mixtures: Demonstration With Metals From Coal-Fired Power Plants and Birth WeightAlexander P Keil, Jessie P Buckley, Amy E Kalkbrenner
American Journal of Epidemiology|August 29, 2021
Amplification of Bias Due to Exposure Measurement ErrorDavid B Richardson, Alexander P Keil, Stephen R Cole
Pageof 14

Showing results (11-20 of 138) with videos related to

Sort By:
Pageof 14
European Journal of Epidemiology|May 11, 2018
You are smarter than you think: (super) machine learning in contextAlexander P Keil, Jessie K Edwards
American Journal of Epidemiology|June 7, 2025
(Re-)match: adjusting for matching factors in case-control studies may be unnecessary or insufficientMaria E Kamenetsky, Alexander P Keil
American Journal of Epidemiology|March 18, 2026
Bringing spatial confounding into the causal inferential foldAlexander P Keil, Maria E Kamenetsky
American Journal of Epidemiology|July 7, 2017
Invited Commentary: Causal Inference Across Space and Time-Quixotic Quest, Worthy Goal, or Both?Jessie K Edwards, Catherine R Lesko, Alexander P Keil
American Journal of Epidemiology|April 4, 2015
Healthy worker survivor bias in the Colorado Plateau uranium miners cohortAlexander P Keil, David B Richardson, Melissa A Troester
American Journal of Epidemiology|June 3, 2021
Keil et al. Respond to "Causal Inference for Environmental Mixtures"Alexander P Keil, Jessie P Buckley, Amy E Kalkbrenner
American Journal of Epidemiology|March 25, 2020
The Epidemiologic Toolbox: Identifying, Honing, and Using the Right Tools for the JobCatherine R Lesko, Alexander P Keil, Jessie K Edwards
American Journal of Epidemiology|March 22, 2021
Thirteen Questions About Using Machine Learning in Causal Research (You Won't Believe the Answer to Number 10!)Stephen J Mooney, Alexander P Keil, Daniel J Westreich
American Journal of Epidemiology|March 22, 2021
Bayesian G-Computation for Estimating Impacts of Interventions on Exposure Mixtures: Demonstration With Metals From Coal-Fired Power Plants and Birth WeightAlexander P Keil, Jessie P Buckley, Amy E Kalkbrenner
American Journal of Epidemiology|August 29, 2021
Amplification of Bias Due to Exposure Measurement ErrorDavid B Richardson, Alexander P Keil, Stephen R Cole
Pageof 14