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Georgia Papadogeorgou

Showing results (1-10 of 18) with videos related to

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Biometrics|June 17, 2022
Discussion on "Spatial+: a novel approach to spatial confounding" by Emiko Dupont, Simon N. Wood, and Nicole H. AugustinGeorgia Papadogeorgou
The Annals of Applied Statistics|March 2, 2021
A causal exposure response function with local adjustment for confounding: Estimating health effects of exposure to low levels of ambient fine particulate matterGeorgia Papadogeorgou, Francesca Dominici
Statistical Science : a Review Journal of the Institute of Mathematical Statistics|April 19, 2021
Bipartite Causal Inference with InterferenceCorwin M Zigler, Georgia Papadogeorgou
Biometrics|March 13, 2019
Causal inference with interfering units for cluster and population level treatment allocation programsGeorgia Papadogeorgou, Fabrizia Mealli, Corwin M Zigler
Biometrics|December 22, 2020
Causal inference in high dimensions: A marriage between Bayesian modeling and good frequentist propertiesJoseph Antonelli, Georgia Papadogeorgou, Francesca Dominici
Biostatistics (Oxford, England)|January 25, 2018
Adjusting for unmeasured spatial confounding with distance adjusted propensity score matchingGeorgia Papadogeorgou, Christine Choirat, Corwin M Zigler
Journal of Machine Learning Research : JMLR|June 27, 2022
Soft Tensor RegressionGeorgia Papadogeorgou, Zhengwu Zhang, David B Dunson
Biometrics|March 7, 2025
Addressing selection bias in cluster randomized experiments via weightingGeorgia Papadogeorgou, Bo Liu, Fan Li, et al.
Clinical Trials (London, England)|December 13, 2021
Clarifying selection bias in cluster randomized trialsFan Li, Zizhong Tian, Jennifer Bobb, et al.
Current Environmental Health Reports|May 16, 2019
Low Levels of Air Pollution and Health: Effect Estimates, Methodological Challenges, and Future DirectionsGeorgia Papadogeorgou, Marianthi-Anna Kioumourtzoglou, Danielle Braun, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Biometrics|June 17, 2022
Discussion on "Spatial+: a novel approach to spatial confounding" by Emiko Dupont, Simon N. Wood, and Nicole H. AugustinGeorgia Papadogeorgou
The Annals of Applied Statistics|March 2, 2021
A causal exposure response function with local adjustment for confounding: Estimating health effects of exposure to low levels of ambient fine particulate matterGeorgia Papadogeorgou, Francesca Dominici
Statistical Science : a Review Journal of the Institute of Mathematical Statistics|April 19, 2021
Bipartite Causal Inference with InterferenceCorwin M Zigler, Georgia Papadogeorgou
Biometrics|March 13, 2019
Causal inference with interfering units for cluster and population level treatment allocation programsGeorgia Papadogeorgou, Fabrizia Mealli, Corwin M Zigler
Biometrics|December 22, 2020
Causal inference in high dimensions: A marriage between Bayesian modeling and good frequentist propertiesJoseph Antonelli, Georgia Papadogeorgou, Francesca Dominici
Biostatistics (Oxford, England)|January 25, 2018
Adjusting for unmeasured spatial confounding with distance adjusted propensity score matchingGeorgia Papadogeorgou, Christine Choirat, Corwin M Zigler
Journal of Machine Learning Research : JMLR|June 27, 2022
Soft Tensor RegressionGeorgia Papadogeorgou, Zhengwu Zhang, David B Dunson
Biometrics|March 7, 2025
Addressing selection bias in cluster randomized experiments via weightingGeorgia Papadogeorgou, Bo Liu, Fan Li, et al.
Clinical Trials (London, England)|December 13, 2021
Clarifying selection bias in cluster randomized trialsFan Li, Zizhong Tian, Jennifer Bobb, et al.
Current Environmental Health Reports|May 16, 2019
Low Levels of Air Pollution and Health: Effect Estimates, Methodological Challenges, and Future DirectionsGeorgia Papadogeorgou, Marianthi-Anna Kioumourtzoglou, Danielle Braun, et al.
Pageof 2