Georgia Papadogeorgou
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2023
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Addressing selection bias in cluster randomized experiments via weighting
In cluster randomized experiments with selection bias due to recruitment, data are often only available on those that were recruited. …
Georgia Papadogeorgou
,
Bo Liu
,
Fan Li
,
Fan Li
September 2023
PDF
Covariate-informed latent interaction models: Addressing geographic & taxonomic bias in predicting bird-plant interactions
We propose a latent factor interaction model for networks measured with error, and a variable importance metric for latent models. We …
Georgia Papadogeorgou
,
Carolina Bello
,
Otso Ovaskainen
,
David B. Dunson
April 2023
JASA
PDF
Dataset
Slides
Video
Arxiv
R package
Analysis
Spatial causal inference in the presence of unmeasured confounding and interference
We investigate the complications and opportunities when drawing causal inference from spatial observational data. We introduce causal …
Georgia Papadogeorgou
,
Srijata Samanta
March 2023
arXiv
Evaluating Federal Policies Using Bayesian Time Series Models: Estimating the Causal Impact of the Hospital Readmissions Reduction Program
Estimating the causal effect of the Hospital Readmissions Reduction on program on patient readmission and mortality rates.
Georgia Papadogeorgou
,
Fiammetta Menchetti
,
Christine Choirat
,
Jason H. Wasfy
,
Corwin M. Zigler
,
Fabrizia Mealli
January 2023
HSORM
PDF
arXiv
Bayesian inference for aggregated Hawkes processes
Estimating the parameters of a temporal, spatio-temporal, or mutually-exciting Hawkes process based on data that are available in …
Lingxiao Zhou
,
Georgia Papadogeorgou
December 2022
Code
Arxiv
Causal inference with spatio-temporal data: Estimating the effects of airstrikes on insurgent violence in Iraq
Evaluating the effect of a point pattern treatment on a point pattern outcome measured over time.
Georgia Papadogeorgou
,
Kosuke Imai
,
Jason Lyall
,
Fan Li
June 2022
JRSS-B
PDF
arXiv
Journal
R package
Clarifying Selection Bias in Cluster Randomized Trials
Fan Li
,
Zizhong Tian
,
Jennifer Bobb
,
Georgia Papadogeorgou
,
Fan Li
October 2021
Clinical Trials
PDF
Soft tensor regression
Basing estimation of tensor regression coefficients on a soft version of the PARAFAC approximation.
Georgia Papadogeorgou
,
Zhengwu Zhang
,
David B. Dunson
September 2021
JMLR
Cite
arXiv
PDF
Journal
Slides
Discussion of the manuscript: 'Spatial+ a novel approach to spatial confounding' by Dupont, Wood and Augustin
Georgia Papadogeorgou
July 2021
Biometrics
PDF
Journal
Bipartite Causal Inference with Interference
Extending causal inference in the presence of interference to bipartite settings where the interventional units are different from the …
Corwin M. Zigler
,
Georgia Papadogeorgou
January 2021
Statistical Science
PDF
Cite
Code
Arxiv
Journal
Causal inference in high dimensions: A marriage between Bayesian modeling and good frequentist properties
We introduce a framework for estimating causal effects of binary and continuous treatments in high dimensions. The proposed framework …
Joseph Antonelli
,
Georgia Papadogeorgou
,
Francesca Dominici
December 2020
Biometrics
PDF
R package
arXiv
Propensity Score Weighting for Causal Subgroup Analysis
Causal inference for subgroup analysis and the Connect-S plot.
Siyun Yang
,
Elizabeth Lorenzi
,
Georgia Papadogeorgou
,
Daniel M. Wojdyla
,
Fan Li
,
Laine E. Thomas
October 2020
Under review
PDF
Code
arXiv
Discussion of 'Bayesian Regression Tree Models for Causal Inference: Regularization, Confounding, and Heterogeneous Effects' by Hahn, Murray and Carvalho
Georgia Papadogeorgou
,
Fan Li
September 2020
BA
PDF
Cite
Mitigating Unobserved spatial confounding when estimating the effect of supermarket access on cardiovascular disease deaths
Addressing confounding bias from unmeasured spatial variables using mixed models.
Patrick Schnell
,
Georgia Papadogeorgou
March 2020
AOAS
Code
arXiv
Slides
A Causal Exposure Response Function with Local Adjustment for Confounding: A study of the health effects of long-term exposure to low levels of fine particulate matter
Causal exposure-response curve estimation with local confonding adjustment. Different variables confound the exposure-response …
Georgia Papadogeorgou
,
Francesca Dominici
February 2020
AOAS
Cite
R package
arXiv
Journal
Low Levels of Air Pollution and Health: Effect Estimates, Methodological Challenges, and Future Directions
A review of the literature on the health effects of exposure to low levels of particulate matter.
Georgia Papadogeorgou
,
Marianthi-Anna Kioumourtzoglou
,
Danielle Braun
,
Antonella Zanobetti
May 2019
Current Environmental Health Reports
Cite
Journal
Discussion of 'Penalized Spline of Propensity Methods for Treatment Comparison'
Georgia Papadogeorgou
,
Fan Li
April 2019
JASA
PDF
Cite
Journal
Causal inference with interfering units for cluster and population level treatment allocation programs
Causal inference with interference for realistic treatment allocation programs. Evaluating the comparitive effectiveness of power plant …
Georgia Papadogeorgou
,
Fabrizia Mealli
,
Corwin M. Zigler
March 2019
Biometrics
PDF
Cite
Dataset
R package
Journal
Slides
Adjusting for unmeasured spatial confounding with distance adjusted propensity score matching
Incorporating geographical distance in a propensity score matching approach to account for unmeasured confounding by spatial variables.
Georgia Papadogeorgou
,
Christine Choirat
,
Corwin M. Zigler
January 2018
Biostatistics
PDF
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Dataset
R package
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