Nonparametric estimation of the Patient Weighted While-Alive Estimand
Fuente:
arXiv
Saved in:
| Main Authors: | Ragni, Alessandra, Martinussen, Torben, Scheike, Thomas |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Nonparametric Estimation of the Patient‐Weighted While‐Alive Estimand
by: Alessandra Ragni, et al.
Published: (2026)
by: Alessandra Ragni, et al.
Published: (2026)
The Estimand Framework and Causal Inference: Complementary not Competing Paradigms
by: Drury, Thomas, et al.
Published: (2024)
by: Drury, Thomas, et al.
Published: (2024)
Clustering Hierarchies via a Semi-Parametric Generalized Linear Mixed Model: a statistical significance-based approach
by: Ragni, Alessandra, et al.
Published: (2023)
by: Ragni, Alessandra, et al.
Published: (2023)
Causal Analysis of Air Pollution Mixtures: Estimands, Positivity, and Extrapolation
by: Antonelli, Joseph, et al.
Published: (2024)
by: Antonelli, Joseph, 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)
Longitudinal Outcomes Truncated by Death: Causal Estimands and Bayesian Estimators
by: Ortholand, Juliette, et al.
Published: (2026)
by: Ortholand, Juliette, et al.
Published: (2026)
Nonparametric estimation of an optimal treatment rule with fused randomized trials and missing effect modifiers
by: Williams, Nicholas, et al.
Published: (2025)
by: Williams, Nicholas, et al.
Published: (2025)
Component over Composite: Mitigating Type I Error Inflation when Imputing "Days Alive and at Home"
by: Tackney, Mia S., et al.
Published: (2026)
by: Tackney, Mia S., et al.
Published: (2026)
While-alive regression analysis of composite survival endpoints
by: Fang, Xi, et al.
Published: (2025)
by: Fang, Xi, et al.
Published: (2025)
Nonparametric Monitoring of Spatial Dependence
by: Adämmer, Philipp, et al.
Published: (2024)
by: Adämmer, Philipp, et al.
Published: (2024)
Nonparametric efficient estimation of the longitudinal front-door functional
by: Breum, Marie S., et al.
Published: (2025)
by: Breum, Marie S., et al.
Published: (2025)
A Nonparametric and Functional Wombling Methodology
by: Barratt, Luke A., et al.
Published: (2025)
by: Barratt, Luke A., et al.
Published: (2025)
Improving the Validity and Practical Usefulness of AI/ML Evaluations Using an Estimands Framework
by: Binette, Olivier, et al.
Published: (2024)
by: Binette, Olivier, et al.
Published: (2024)
Bridging Parametric and Nonparametric Methods in Cognitive Diagnosis
by: Ma, Chenchen, et al.
Published: (2020)
by: Ma, Chenchen, et al.
Published: (2020)
Stochastic Nonparametric Estimation of the Density-Flow Curve
by: Kriuchkov, Iaroslav, et al.
Published: (2023)
by: Kriuchkov, Iaroslav, et al.
Published: (2023)
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 Bayes multiresolution testing for high-dimensional rare events
by: Datta, Jyotishka, et al.
Published: (2023)
by: Datta, Jyotishka, et al.
Published: (2023)
Nonparametric Estimation and Comparison of Distance Distributions from Censored Data
by: McCabe, Lucas H.
Published: (2023)
by: McCabe, Lucas H.
Published: (2023)
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)
Bayesian Nonparametric Models for Multiple Raters: a General Statistical Framework
by: Mignemi, Giuseppe, et al.
Published: (2024)
by: Mignemi, Giuseppe, et al.
Published: (2024)
Nonparametric causal inference for optogenetics: sequential excursion effects for dynamic regimes
by: Loewinger, Gabriel, et al.
Published: (2024)
by: Loewinger, Gabriel, 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)
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)
A Nonparametric Bayes Approach to Online Activity Prediction
by: Beraha, Mario, et al.
Published: (2024)
by: Beraha, Mario, et al.
Published: (2024)
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)
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)
Efficient nonparametric estimators of discrimination measures with censored survival data
by: Breum, Marie Skov, et al.
Published: (2024)
by: Breum, Marie Skov, 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)
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 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)
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)
Living forwards or understanding backwards? A comparison of Inverse Probability of Treatment Weighting and G-estimation methods for targeting hypothetical full adherence estimands in longitudinal cohort studies
by: Liang, Xiaoran, et al.
Published: (2026)
by: Liang, Xiaoran, et al.
Published: (2026)
On Flexible Inverse Probability of Treatment and Intensity Weighting: Informative Censoring, Variable Inclusion, and Weight Trimming
by: Tompkins, Grace, et al.
Published: (2024)
by: Tompkins, Grace, et al.
Published: (2024)
Addressing Outcome Reporting Bias in Meta-analysis: A Selection Model Perspective
by: Saracini, Alessandra Gaia, et al.
Published: (2024)
by: Saracini, Alessandra Gaia, 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)
Inverse Probability Weighting for Recurrent Event Models
by: Sun, Jiren, et al.
Published: (2025)
by: Sun, Jiren, et al.
Published: (2025)
General Effect Modelling (GEM) -- Part 2. Multivariate GEM applied to gene expression data of type 2 diabetes detects information that is lost by univariate validation
by: Mosleth, Ellen Færgestad, et al.
Published: (2024)
by: Mosleth, Ellen Færgestad, et al.
Published: (2024)
Blinded sample size re-estimation accounting for uncertainty in mid-trial estimation
by: Maeda, Hirotada, et al.
Published: (2026)
by: Maeda, Hirotada, et al.
Published: (2026)
A Calibrated Sensitivity Analysis for Weighted Causal Decompositions
by: Shen, Andy A., et al.
Published: (2024)
by: Shen, Andy A., et al.
Published: (2024)
Weighting methods for truncation by death in cluster-randomized trials
by: Isenberg, Dane, et al.
Published: (2024)
by: Isenberg, Dane, et al.
Published: (2024)
Similar Items
-
Nonparametric Estimation of the Patient‐Weighted While‐Alive Estimand
by: Alessandra Ragni, et al.
Published: (2026) -
The Estimand Framework and Causal Inference: Complementary not Competing Paradigms
by: Drury, Thomas, et al.
Published: (2024) -
Clustering Hierarchies via a Semi-Parametric Generalized Linear Mixed Model: a statistical significance-based approach
by: Ragni, Alessandra, et al.
Published: (2023) -
Causal Analysis of Air Pollution Mixtures: Estimands, Positivity, and Extrapolation
by: Antonelli, Joseph, et al.
Published: (2024) -
Mendelian Randomization Methods for Causal Inference: Estimands, Identification and Inference
by: Yao, Minhao, et al.
Published: (2025)