Statistical methods for cost-effectiveness analysis of left-truncated censored survival data with treatment delays
Fuente:
arXiv
Saved in:
| Main Authors: | Khudyakov, Polyna, Xu, Li, Yang, Ce, Spiegelman, Donna, Wang, Molin |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Measurement Error Correction for Spatially Defined Environmental Exposures in Survival Analysis
by: Ge, Lin, et al.
Published: (2024)
by: Ge, Lin, et al.
Published: (2024)
Debiased machine learning for counterfactual survival functionals based on left-truncated right-censored data
by: Morenz, Eric R., et al.
Published: (2024)
by: Morenz, Eric R., et al.
Published: (2024)
Targeted learning of heterogeneous treatment effect curves for right censored or left truncated time-to-event data
by: Pryce, Matthew, et al.
Published: (2026)
by: Pryce, Matthew, et al.
Published: (2026)
Correcting for bias due to mismeasured exposure in mediation analysis with a survival outcome
by: Cheng, Chao, et al.
Published: (2023)
by: Cheng, Chao, et al.
Published: (2023)
Causal Selection of Covariates in Regression Calibration for Mismeasured Continuous Exposure
by: Tang, Wenze, et al.
Published: (2022)
by: Tang, Wenze, et al.
Published: (2022)
Causal Covariate Selection for the Imputation-based Regression Calibration Method for Exposure Measurement Error Bias Correction
by: Tang, Wenze, et al.
Published: (2023)
by: Tang, Wenze, et al.
Published: (2023)
Improving Transportability of Regression Calibration Under the Main/External Validation Study Design
by: Li, Zexiang, et al.
Published: (2025)
by: Li, Zexiang, et al.
Published: (2025)
Transportability of Regression Calibration with External Validation Studies for Measurement Error Correction
by: Li, Zexiang, et al.
Published: (2026)
by: Li, Zexiang, et al.
Published: (2026)
Exposure measurement error correction in longitudinal studies with discrete outcomes
by: Yang, Ce, et al.
Published: (2025)
by: Yang, Ce, et al.
Published: (2025)
Group lasso priors for Bayesian accelerated failure time models with left-truncated and interval-censored data
by: Reeder, Harrison T., et al.
Published: (2024)
by: Reeder, Harrison T., et al.
Published: (2024)
A comparison of methods for designing hybrid type 2 cluster-randomized trials with continuous effectiveness and implementation endpoints
by: Owen, Melody, et al.
Published: (2025)
by: Owen, Melody, et al.
Published: (2025)
Statistical methods for clustered competing risk data when the event types are only available in a training dataset
by: Wu, Yujie, et al.
Published: (2025)
by: Wu, Yujie, et al.
Published: (2025)
A Penalized Functional Linear Cox Regression Model for Spatially-defined Environmental Exposure with an Estimated Buffer Distance
by: Lee, Jooyoung, et al.
Published: (2023)
by: Lee, Jooyoung, et al.
Published: (2023)
Design of egocentric network-based studies to estimate causal effects under interference
by: Fang, Junhan, et al.
Published: (2023)
by: Fang, Junhan, et al.
Published: (2023)
Estimating treatment effects from observational data under truncation by death using survival-incorporated quantiles
by: Xiang, Qingyan, et al.
Published: (2024)
by: Xiang, Qingyan, et al.
Published: (2024)
Quantifying uncertainty of individualized treatment effects in right-censored survival data: A comparison of Bayesian additive regression trees and causal survival forest
by: Kabata, Daijiro, et al.
Published: (2025)
by: Kabata, Daijiro, et al.
Published: (2025)
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)
Learn-As-you-GO (LAGO) Trials: Optimizing Trials for Effectiveness and Power to Prevent Failed Trials
by: Bing, Ante, et al.
Published: (2025)
by: Bing, Ante, et al.
Published: (2025)
Evaluating causal indirect effects when mediators are left-censored by assay limit of quantification
by: Jiang, Cong, et al.
Published: (2026)
by: Jiang, Cong, et al.
Published: (2026)
Calibrated Bayes analysis of cluster-randomized trials
by: Liu, Ruyi, et al.
Published: (2025)
by: Liu, Ruyi, et al.
Published: (2025)
The joint survival super learner: A super learner for right-censored data
by: Munch, Anders, et al.
Published: (2024)
by: Munch, Anders, et al.
Published: (2024)
Improving inverse probability of censoring weighting for win statistics with composite survival outcomes
by: Fang, Xi, et al.
Published: (2026)
by: Fang, Xi, et al.
Published: (2026)
Functional Cox model for interval-censored data
by: Xu, Yangjianchen, et al.
Published: (2026)
by: Xu, Yangjianchen, et al.
Published: (2026)
A regularized multi-state model for covariate selection with interval-censored survival data
by: Bercu, Ariane, et al.
Published: (2025)
by: Bercu, Ariane, et al.
Published: (2025)
Copula-based semiparametric nonnormal transformed linear model for survival data with dependent censoring
by: Yu, Huazhen, et al.
Published: (2024)
by: Yu, Huazhen, et al.
Published: (2024)
Estimating heritability of survival traits using censored multiple variance component model
by: Kim, Do Hyun, et al.
Published: (2025)
by: Kim, Do Hyun, et al.
Published: (2025)
Identifying Key Influencers using an Egocentric Network-based Randomized Design
by: He, Zhibing, et al.
Published: (2025)
by: He, Zhibing, et al.
Published: (2025)
Neural interval-censored survival regression with feature selection
by: Meixide, Carlos García, et al.
Published: (2022)
by: Meixide, Carlos García, et al.
Published: (2022)
Doubly robust average treatment effect estimation for survival data
by: Lee, Byeonghee, et al.
Published: (2025)
by: Lee, Byeonghee, et al.
Published: (2025)
A class of nonparametric methods for evaluating the effect of continuous treatments on survival outcomes
by: Jin, Yutong, et al.
Published: (2024)
by: Jin, Yutong, et al.
Published: (2024)
A new composite Mann-Whitney test for two-sample survival comparisons with right-censored data
by: Hussain, Abid, et al.
Published: (2025)
by: Hussain, Abid, et al.
Published: (2025)
Robust evaluation of treatment effects in longitudinal studies with truncation by death or other intercurrent events
by: Baklicharov, Georgi, et al.
Published: (2025)
by: Baklicharov, Georgi, et al.
Published: (2025)
A Bayesian framework for cost-effectiveness analysis with time-varying treatment decisions
by: Fernández-Morales, Esteban, et al.
Published: (2026)
by: Fernández-Morales, Esteban, et al.
Published: (2026)
Regression-based proximal causal inference for right-censored time-to-event data
by: Li, Kendrick, et al.
Published: (2024)
by: Li, Kendrick, et al.
Published: (2024)
Optimal Sample Size Calculation in Cost-Effectiveness Longitudinal Cluster Randomized Trials
by: Wang, Hao, et al.
Published: (2026)
by: Wang, Hao, et al.
Published: (2026)
Causal inference for censored data with continuous marks
by: Qu, Lianqiang, et al.
Published: (2026)
by: Qu, Lianqiang, et al.
Published: (2026)
On treating right-censoring events like treatments
by: Wen, Lan, et al.
Published: (2025)
by: Wen, Lan, et al.
Published: (2025)
Estimating treatment duration effects via clone-censor-weight: a breast cancer case study
by: Voinot, Charlotte, et al.
Published: (2026)
by: Voinot, Charlotte, et al.
Published: (2026)
Statistical method for pooling categorical biomarkers from multi-center matched/nested case-control studies
by: Wu, Yujie, et al.
Published: (2025)
by: Wu, Yujie, et al.
Published: (2025)
Adaptive truncation of infinite sums: applications to Statistics
by: Carvalho, Luiz Max, et al.
Published: (2022)
by: Carvalho, Luiz Max, et al.
Published: (2022)
Similar Items
-
Measurement Error Correction for Spatially Defined Environmental Exposures in Survival Analysis
by: Ge, Lin, et al.
Published: (2024) -
Debiased machine learning for counterfactual survival functionals based on left-truncated right-censored data
by: Morenz, Eric R., et al.
Published: (2024) -
Targeted learning of heterogeneous treatment effect curves for right censored or left truncated time-to-event data
by: Pryce, Matthew, et al.
Published: (2026) -
Correcting for bias due to mismeasured exposure in mediation analysis with a survival outcome
by: Cheng, Chao, et al.
Published: (2023) -
Causal Selection of Covariates in Regression Calibration for Mismeasured Continuous Exposure
by: Tang, Wenze, et al.
Published: (2022)