Causal Inference for Continuous Multiple Time Point Interventions
Fuente:
arXiv
Saved in:
| Main Authors: | Schomaker, Michael, McIlleron, Helen, Denti, Paolo, Díaz, Iván |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Recoverability of Causal Effects under Presence of Missing Data: a Longitudinal Case Study
by: Holovchak, Anastasiia, et al.
Published: (2024)
by: Holovchak, Anastasiia, et al.
Published: (2024)
Feasible Dose-Response Curves for Continuous Treatments Under Positivity Violations
by: Bao, Han, et al.
Published: (2025)
by: Bao, Han, et al.
Published: (2025)
A finite-infinite shared atoms nested model for the Bayesian analysis of large grouped data
by: D'Angelo, Laura, et al.
Published: (2024)
by: D'Angelo, Laura, et al.
Published: (2024)
Individualized Prediction Bands in Causal Inference with Continuous Treatments
by: Sampson, Max, et al.
Published: (2025)
by: Sampson, Max, et al.
Published: (2025)
Spatially Regularized Gaussian Mixtures for Clustering Spatial Transcriptomic Data
by: Sottosanti, Andrea, et al.
Published: (2025)
by: Sottosanti, Andrea, et al.
Published: (2025)
Robust Causal Inference for EHR-based Studies of Point Exposures with Missingness in Eligibility Criteria
by: Benz, Luke, et al.
Published: (2025)
by: Benz, Luke, et al.
Published: (2025)
The Role of Congeniality in Multiple Imputation for Doubly Robust Causal Estimation
by: McGowan, Lucy D'Agostino
Published: (2025)
by: McGowan, Lucy D'Agostino
Published: (2025)
Longitudinal Causal Inference with Selective Eligibility
by: Jiang, Zhichao, et al.
Published: (2024)
by: Jiang, Zhichao, et al.
Published: (2024)
Causal Inference for Genomic Data with Multiple Heterogeneous Outcomes
by: Du, Jin-Hong, et al.
Published: (2024)
by: Du, Jin-Hong, et al.
Published: (2024)
Probabilistic Modelling of Multiple Long-Term Condition Onset Times
by: Richards, Kieran, et al.
Published: (2024)
by: Richards, Kieran, et al.
Published: (2024)
Causal Inference for Circular Data
by: Wu, Kuan-Hsun
Published: (2025)
by: Wu, Kuan-Hsun
Published: (2025)
Estimation and Inference for Causal Explainability
by: Zhang, Weihan, et al.
Published: (2025)
by: Zhang, Weihan, et al.
Published: (2025)
PanelMatch: Matching Methods for Causal Inference with Time-Series Cross-Section Data
by: Rauh, Adam, et al.
Published: (2025)
by: Rauh, Adam, et al.
Published: (2025)
Mendelian Randomization Methods for Causal Inference: Estimands, Identification and Inference
by: Yao, Minhao, et al.
Published: (2025)
by: Yao, Minhao, et al.
Published: (2025)
Causal Inference in Genetic Trio Studies
by: Bates, Stephen, et al.
Published: (2020)
by: Bates, Stephen, et al.
Published: (2020)
Forest Kernel Balancing Weights: Outcome-Guided Features for Causal Inference
by: Shen, Andy A., et al.
Published: (2025)
by: Shen, Andy A., et al.
Published: (2025)
lmw: Linear Model Weights for Causal Inference
by: Chattopadhyay, Ambarish, et al.
Published: (2023)
by: Chattopadhyay, Ambarish, et al.
Published: (2023)
Proximal Causal Inference for Modified Treatment Policies
by: Olivas-Martinez, Antonio, et al.
Published: (2025)
by: Olivas-Martinez, Antonio, et al.
Published: (2025)
Causal Inference Using Augmented Epidemic Models
by: Bong, Heejong, et al.
Published: (2024)
by: Bong, Heejong, et al.
Published: (2024)
Semiparametric Inference for Causal Effects on Functional Outcomes
by: Nie, Junzhu, et al.
Published: (2026)
by: Nie, Junzhu, et al.
Published: (2026)
Frequentist Inference for Semi-mechanistic Epidemic Models with Interventions
by: Bong, Heejong, et al.
Published: (2023)
by: Bong, Heejong, et al.
Published: (2023)
Randomization Inference for Before-and-After Studies with Multiple Units: An Application to a Criminal Procedure Reform in Uruguay
by: Cattaneo, Matias D., et al.
Published: (2024)
by: Cattaneo, Matias D., et al.
Published: (2024)
Network Modeling of Asynchronous Change-Points in Multivariate Time Series
by: McKee, Carson, et al.
Published: (2025)
by: McKee, Carson, et al.
Published: (2025)
The Estimand Framework and Causal Inference: Complementary not Competing Paradigms
by: Drury, Thomas, et al.
Published: (2024)
by: Drury, Thomas, et al.
Published: (2024)
Causal Inference with Outcomes Truncated by Death and Missing Not at Random
by: Li, Wei, et al.
Published: (2024)
by: Li, Wei, et al.
Published: (2024)
Estimating the Effects of Heatwaves on Health: A Causal Inference Framework
by: Grossi, Giulio, et al.
Published: (2025)
by: Grossi, Giulio, et al.
Published: (2025)
GenAI Powered Dynamic Causal Inference with Unstructured Data
by: Nakamura, Kentaro, et al.
Published: (2026)
by: Nakamura, Kentaro, et al.
Published: (2026)
Causal Inference in Longitudinal Data under Unknown Interference
by: Wang, Ye, et al.
Published: (2021)
by: Wang, Ye, et al.
Published: (2021)
Degree of Interference: A General Framework For Causal Inference Under Interference
by: Ohnishi, Yuki, et al.
Published: (2022)
by: Ohnishi, Yuki, et al.
Published: (2022)
Optimal Cut-Point Estimation for Functional Digital Biomarkers: Application to Diabetes Risk Stratification via Continuous Glucose Monitoring
by: Lado-Baleato, Oscar, et al.
Published: (2024)
by: Lado-Baleato, Oscar, et al.
Published: (2024)
What is Overlap Weighting, How Has it Evolved, and When to Use It for Causal Inference?
by: Lu, Haidong, et al.
Published: (2026)
by: Lu, Haidong, et al.
Published: (2026)
Bayesian Nonparametric Causal Inference for Quantile Residual Life: An Application to Alzheimer's Disease
by: Bae, Woojung, et al.
Published: (2026)
by: Bae, Woojung, et al.
Published: (2026)
Causal Inference of Blood Pressure Reduction and Coronary Heart Disease Risk in the Framingham Study
by: Patra, Suchibrata
Published: (2026)
by: Patra, Suchibrata
Published: (2026)
Testing Generalizability in Causal Inference
by: Manela, Daniel de Vassimon, et al.
Published: (2024)
by: Manela, Daniel de Vassimon, et al.
Published: (2024)
Efficient Inference in First Passage Time Models
by: Liu, Sicheng, et al.
Published: (2025)
by: Liu, Sicheng, et al.
Published: (2025)
Multiscale Topological Inference for Marked Point Processes via Euler Characteristic Envelopes
by: Eckardt, Matthias, et al.
Published: (2026)
by: Eckardt, Matthias, et al.
Published: (2026)
Choosing Covariate Balancing Methods for Causal Inference: Practical Insights from a Simulation Study
by: Peyrot, Etienne, et al.
Published: (2024)
by: Peyrot, Etienne, et al.
Published: (2024)
Beyond Point Estimates: Toward Proper Statistical Inferencing and Reporting of Intraclass Correlation Coefficients
by: Liu, Yufeng, et al.
Published: (2026)
by: Liu, Yufeng, et al.
Published: (2026)
Quantifying Time-Varying Physical Activity Intervention Effects via Functional Regression
by: Pai, Nidhi, et al.
Published: (2026)
by: Pai, Nidhi, et al.
Published: (2026)
Optimal Change Point Detection and Inference in the Spectral Density of General Time Series Models
by: Mosaferi, Sepideh, et al.
Published: (2025)
by: Mosaferi, Sepideh, et al.
Published: (2025)
Similar Items
-
Recoverability of Causal Effects under Presence of Missing Data: a Longitudinal Case Study
by: Holovchak, Anastasiia, et al.
Published: (2024) -
Feasible Dose-Response Curves for Continuous Treatments Under Positivity Violations
by: Bao, Han, et al.
Published: (2025) -
A finite-infinite shared atoms nested model for the Bayesian analysis of large grouped data
by: D'Angelo, Laura, et al.
Published: (2024) -
Individualized Prediction Bands in Causal Inference with Continuous Treatments
by: Sampson, Max, et al.
Published: (2025) -
Spatially Regularized Gaussian Mixtures for Clustering Spatial Transcriptomic Data
by: Sottosanti, Andrea, et al.
Published: (2025)