Cover Image

Leveraging text data for causal inference using electronic health records

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mozer, Reagan, Kaufman, Aaron R., Celi, Leo A., Miratrix, Luke
Format:	Preprint
Published:	2023
Subjects:	Computation and Language Applications Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

More power to you: Using machine learning to augment human coding for more efficient inference in text-based randomized trials
by: Mozer, Reagan, et al.
Published: (2023)

Caliper Synthetic Matching: Generalized Radius Matching with Local Synthetic Controls
by: Che, Jonathan, et al.
Published: (2024)

Sequential Sensitivity Analysis for Multiple Assumptions: A Framework for Understanding Racial Disparity in Police Use of Force
by: Leavitt, Thomas, et al.
Published: (2026)

Stratified Sampling for Model-Assisted Estimation with Surrogate Outcomes
by: Mozer, Reagan, et al.
Published: (2026)

Combining observational and experimental data for causal inference considering data privacy
by: Mann, Charlotte Z., et al.
Published: (2023)

Improving the Estimation of Site-Specific Effects and their Distribution in Multisite Trials
by: Lee, JoonHo, et al.
Published: (2023)

Robust Bayesian causal estimation for causal inference in medical diagnosis
by: Basu, Tathagata, et al.
Published: (2024)

A pseudo-outcome-based framework to analyze treatment heterogeneity in survival data using electronic health records
by: Bo, Na, et al.
Published: (2024)

Overcoming data challenges through enriched validation and targeted sampling to measure whole-person health in electronic health records
by: Lotspeich, Sarah C., et al.
Published: (2025)

Do-search -- a tool for causal inference and study design with multiple data sources
by: Karvanen, Juha, et al.
Published: (2020)

Autoregressive models for panel data causal inference with application to state-level opioid policies
by: Antonelli, Joseph, et al.
Published: (2024)

Confounder-robust causal discovery and inference in Perturb-seq using proxy and instrumental variables
by: Park, Kwangmoon, et al.
Published: (2026)

Connections as treatment: causal inference with edge interventions in networks
by: Chen, Shuli, et al.
Published: (2026)

Practical considerations for Gaussian Process modeling for causal inference quasi-experimental studies with panel data
by: Vega, Sofia L., et al.
Published: (2025)

Fast and flexible inference for joint models of multivariate longitudinal and survival data using Integrated Nested Laplace Approximations
by: Rustand, Denis, et al.
Published: (2022)

Nonparametric causal inference for optogenetics: sequential excursion effects for dynamic regimes
by: Loewinger, Gabriel, et al.
Published: (2024)

Bayesian nonparametric mixtures of categorical directed graphs for heterogeneous causal inference
by: Castelletti, Federico, et al.
Published: (2024)

Documents Are People and Words Are Items: A Psychometric Approach to Textual Data with Contextual Embeddings
by: Chen, Jinsong
Published: (2025)

Exploring the Potential Role of Generative AI in the TRAPD Procedure for Survey Translation
by: Metheney, Erica Ann, et al.
Published: (2024)

Constructing the Truth: Text Mining and Linguistic Networks in Public Hearings of Case 03 of the Special Jurisdiction for Peace (JEP)
by: Sosa, Juan, et al.
Published: (2025)

Systematic Evaluation of Uncertainty Estimation Methods in Large Language Models
by: Hobelsberger, Christian, et al.
Published: (2025)

Improving Probabilistic Models in Text Classification via Active Learning
by: Bosley, Mitchell, et al.
Published: (2022)

Spatiotemporal causal inference with arbitrary spillover and carryover effects: Airstrikes and insurgent violence in the Iraq War
by: Mukaigawara, Mitsuru, et al.
Published: (2025)

Sequential Bayesian inference for stochastic epidemic models of cumulative incidence
by: Whitaker, Sam A., et al.
Published: (2024)

An integrated method for clustering and association network inference
by: Tous, Jeanne, et al.
Published: (2025)

A new statistical approach for joint modeling of longitudinal outcomes measured in electronic health records with clinically informative presence and observation processes
by: Du, Jiacong, et al.
Published: (2024)

A proxy-based approach for unmeasured confounding in electronic health records research
by: Kottler, Haley Colgate, et al.
Published: (2025)

Approximate Bayesian inference for high-resolution spatial disaggregation using alternative data sources
by: Pakrashi, Anis, et al.
Published: (2024)

Handling missing data when estimating causal effects with Targeted Maximum Likelihood Estimation
by: Dashti, S. Ghazaleh, et al.
Published: (2021)

Fast Bayesian inference for spatial mean-parameterized Conway-Maxwell-Poisson models
by: Kang, Bokgyeong, et al.
Published: (2023)

Causal inference with dyadic data in randomized experiments
by: Li, Yilin, et al.
Published: (2025)

Averaging polyhazard models using Piecewise deterministic Monte Carlo with applications to data with long-term survivors
by: Hardcastle, Luke, et al.
Published: (2024)

Incorporating nonparametric methods for estimating causal excursion effects in mobile health with zero-inflated count outcomes
by: Liu, Xueqing, et al.
Published: (2023)

Nonparametric efficient inference for network quantile causal effects under partial interference
by: Cheng, Chao, et al.
Published: (2026)

Toward a practical handbook for choosing among causal inference methods in non-randomized studies with binary outcomes: A simulation study for applied researchers
by: Aurensanz-Crespo, Adrián, et al.
Published: (2026)

Efficient Bayesian inference for non-linear association structures in joint models: A hierarchical approach via INLA
by: Rustand, Denis, et al.
Published: (2026)

PPI is the Difference Estimator: Recognizing the Survey Sampling Roots of Prediction-Powered Inference
by: Mozer, Reagan
Published: (2026)

Integrating representative and non-representative survey data for efficient inference
by: Dyrkton, Nathaniel, et al.
Published: (2024)

Correcting inferences for volunteer-collected data with geospatial sampling bias
by: Lugtig, Peter, et al.
Published: (2022)

A novel density-based approach for estimating unknown means, distribution visualisations and meta-analyses of quantiles
by: De Livera, Alysha M, et al.
Published: (2024)