Bayesian Nonparametric Causal Inference for Quantile Residual Life: An Application to Alzheimer's Disease
Fuente:
arXiv
Saved in:
| Main Authors: | Bae, Woojung, Hong, Taekwon, Lee, Sang Kyu, Choi, Dongrak, Jeong, Jong-Hyeon |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Causal Framework for Quantile Residual Lifetime
by: Hong, Taekwon, et al.
Published: (2026)
by: Hong, Taekwon, et al.
Published: (2026)
Bayesian Scalar-on-Tensor Quantile Regression for Longitudinal Data on Alzheimer's Disease
by: Lyu, Rongke, et al.
Published: (2026)
by: Lyu, Rongke, et al.
Published: (2026)
Bayesian Variable Selection for High-Dimensional Mediation Analysis: Application to Metabolomics Data in Epidemiological Studies
by: Bae, Youngho, et al.
Published: (2024)
by: Bae, Youngho, et al.
Published: (2024)
Diagnostics for Semiparametric Accelerated Failure Time Models with R Package afttest
by: Bae, Woojung, et al.
Published: (2025)
by: Bae, Woojung, et al.
Published: (2025)
A Bayesian Nonparametric Approach for Semi-Competing Risks with Application to Cardiovascular Health
by: Gelis-Cadena, Karina, et al.
Published: (2025)
by: Gelis-Cadena, Karina, et al.
Published: (2025)
A pseudo-outcome-based framework to analyze treatment heterogeneity in survival data using electronic health records
by: Bo, Na, et al.
Published: (2024)
by: Bo, Na, et al.
Published: (2024)
Nonparametric Bayesian Multi-Treatment Mixture Cure Survival Model with Application in Pediatric Oncology
by: Chang, Peter, et al.
Published: (2025)
by: Chang, Peter, et al.
Published: (2025)
Estimator-Aligned Prospective Sample Size Determination for Designs Using Inverse Probability of Treatment Weighting
by: Hong, Taekwon, et al.
Published: (2026)
by: Hong, Taekwon, et al.
Published: (2026)
Decomposition of Longitudinal Disparities: an Application to the Fetal Growth-Singletons Study
by: Lee, Sang Kyu, et al.
Published: (2024)
by: Lee, Sang Kyu, et al.
Published: (2024)
Modeling Insurance Claims using Bayesian Nonparametric Regression
by: Abadi, Mostafa Shams Esfand, et al.
Published: (2023)
by: Abadi, Mostafa Shams Esfand, et al.
Published: (2023)
Nonparametric Identification and Estimation of Causal Effects on Latent Outcomes
by: Fu, Jiawei, et al.
Published: (2026)
by: Fu, Jiawei, et al.
Published: (2026)
Bayesian Nonparametric Risk Assessment in Developmental Toxicity Studies with Ordinal Responses
by: Kang, Jizhou, et al.
Published: (2024)
by: Kang, Jizhou, et al.
Published: (2024)
Monitoring Adverse Events Through Bayesian Nonparametric Clustering Across Studies
by: Yuan, Shijie, et al.
Published: (2025)
by: Yuan, Shijie, et al.
Published: (2025)
Bayesian Nonparametric Models for Multiple Raters: a General Statistical Framework
by: Mignemi, Giuseppe, et al.
Published: (2024)
by: Mignemi, Giuseppe, et al.
Published: (2024)
A Bayesian Nonparametric Method to Adjust for Unmeasured Confounding with Negative Controls
by: Hu, Jie Kate, et al.
Published: (2023)
by: Hu, Jie Kate, et al.
Published: (2023)
Compositional Outcomes and Environmental Mixtures: the Dirichlet Bayesian Weighted Quantile Sum Regression
by: Saddiki, Hachem, et al.
Published: (2025)
by: Saddiki, Hachem, et al.
Published: (2025)
Longitudinal Outcomes Truncated by Death: Causal Estimands and Bayesian Estimators
by: Ortholand, Juliette, et al.
Published: (2026)
by: Ortholand, Juliette, 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)
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)
Bayesian Variable Selection in Distributed Lag Models: A Focus on Binary Quantile and Count Data Regressions
by: Dempsey, Daniel, et al.
Published: (2024)
by: Dempsey, Daniel, et al.
Published: (2024)
Mendelian Randomization Methods for Causal Inference: Estimands, Identification and Inference
by: Yao, Minhao, et al.
Published: (2025)
by: Yao, Minhao, et al.
Published: (2025)
Quantile Residual Lifetime Regression for Multivariate Failure Time Data
by: Yu, Tonghui, et al.
Published: (2025)
by: Yu, Tonghui, et al.
Published: (2025)
Causal Inference in Genetic Trio Studies
by: Bates, Stephen, et al.
Published: (2020)
by: Bates, Stephen, et al.
Published: (2020)
Longitudinal Causal Inference with Selective Eligibility
by: Jiang, Zhichao, et al.
Published: (2024)
by: Jiang, Zhichao, et al.
Published: (2024)
Bayesian Nonparametrics for Gene-Gene and Gene-Environment Interactions in Case-Control Studies: A Synthesis and Extension
by: Bhattacharya, Durba, et al.
Published: (2026)
by: Bhattacharya, Durba, et al.
Published: (2026)
Scalable Ultra-High-Dimensional Quantile Regression with Genomic Applications
by: Wu, Hanqing, et al.
Published: (2026)
by: Wu, Hanqing, et al.
Published: (2026)
Semiparametric Inference for Causal Effects on Functional Outcomes
by: Nie, Junzhu, et al.
Published: (2026)
by: Nie, Junzhu, et al.
Published: (2026)
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)
lmw: Linear Model Weights for Causal Inference
by: Chattopadhyay, Ambarish, et al.
Published: (2023)
by: Chattopadhyay, Ambarish, et al.
Published: (2023)
Causal Discovery on Dependent Mixed Data with Applications to Gene Regulatory Network Inference
by: Chen, Alex, et al.
Published: (2026)
by: Chen, Alex, et al.
Published: (2026)
Proxy Variable in OECD Database: Application of Parametric Quantile Regression and Median Based Unit Rayleigh Distribution
by: Attia, Iman Mohamed
Published: (2025)
by: Attia, Iman Mohamed
Published: (2025)
Residual lifetime prediction for heterogeneous degradation data by Bayesian semi-parametric method
by: Karmakar, Barin, et al.
Published: (2025)
by: Karmakar, Barin, et al.
Published: (2025)
Nonparametric Monitoring of Spatial Dependence
by: Adämmer, Philipp, et al.
Published: (2024)
by: Adämmer, Philipp, et al.
Published: (2024)
Two-stage MCMC for Fast Bayesian Inference of Large Spatio-temporal Ordinal Data, with Application to US Drought
by: Hepler, Staci, et al.
Published: (2025)
by: Hepler, Staci, 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 for Continuous Multiple Time Point Interventions
by: Schomaker, Michael, et al.
Published: (2023)
by: Schomaker, Michael, et al.
Published: (2023)
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)
Individualized Prediction Bands in Causal Inference with Continuous Treatments
by: Sampson, Max, et al.
Published: (2025)
by: Sampson, Max, et al.
Published: (2025)
Similar Items
-
A Causal Framework for Quantile Residual Lifetime
by: Hong, Taekwon, et al.
Published: (2026) -
Bayesian Scalar-on-Tensor Quantile Regression for Longitudinal Data on Alzheimer's Disease
by: Lyu, Rongke, et al.
Published: (2026) -
Bayesian Variable Selection for High-Dimensional Mediation Analysis: Application to Metabolomics Data in Epidemiological Studies
by: Bae, Youngho, et al.
Published: (2024) -
Diagnostics for Semiparametric Accelerated Failure Time Models with R Package afttest
by: Bae, Woojung, et al.
Published: (2025) -
A Bayesian Nonparametric Approach for Semi-Competing Risks with Application to Cardiovascular Health
by: Gelis-Cadena, Karina, et al.
Published: (2025)