Saved in:
| Main Authors: | Bakoyannis, Giorgos, Rontogiannis, Aristofanis, Zhang, Ying, Tu, Wanzhu, Mwangi, Ann, Yiannoutsos, Constantin T. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.20980 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Semiparametric Regression for Misclassified Competing Risks Data
by: Balanos, Theofanis, et al.
Published: (2026)
by: Balanos, Theofanis, et al.
Published: (2026)
Robust propensity score weighting estimation under missing at random
by: Wang, Hengfang, et al.
Published: (2023)
by: Wang, Hengfang, et al.
Published: (2023)
Vaccine sieve analysis on deep sequencing data using competing risks Cox regression with failure type subject to misclassification
by: Peng, James, et al.
Published: (2025)
by: Peng, James, et al.
Published: (2025)
Resampling-based confidence intervals and bands for the average treatment effect in observational studies with competing risks
by: Rühl, Jasmin, et al.
Published: (2023)
by: Rühl, Jasmin, et al.
Published: (2023)
Boosting prediction with data missing not at random
by: Bian, Yuan, et al.
Published: (2025)
by: Bian, Yuan, et al.
Published: (2025)
Non‐Parametric Estimation for Semi‐Competing Risks Data With Event Misascertainment
by: Ruiqian Wu, et al.
Published: (2025)
by: Ruiqian Wu, et al.
Published: (2025)
Sensitivity analysis method in the presence of a missing not at random ordinal independent variable
by: Dioni, Abdoulaye, et al.
Published: (2025)
by: Dioni, Abdoulaye, et al.
Published: (2025)
Doubly robust estimation of marginal cumulative incidence curves for competing risk analysis
by: van Hage, Patrick, et al.
Published: (2024)
by: van Hage, Patrick, et al.
Published: (2024)
Covariate adjustment in randomized experiments with missing outcomes and covariates
by: Zhao, Anqi, et al.
Published: (2023)
by: Zhao, Anqi, et al.
Published: (2023)
Causal survival analysis under competing risks using longitudinal modified treatment policies
by: Díaz, Iván, et al.
Published: (2022)
by: Díaz, Iván, et al.
Published: (2022)
Estimation with missing not at random binary outcomes via exponential tilts
by: Maity, Subha
Published: (2025)
by: Maity, Subha
Published: (2025)
Identifiability of the instrumental variable model with the treatment and outcome missing not at random
by: Zuo, Shuozhi, et al.
Published: (2024)
by: Zuo, Shuozhi, et al.
Published: (2024)
Robust inference for the unification of confidence intervals in meta-analysis
by: Liang, Wei, et al.
Published: (2024)
by: Liang, Wei, et al.
Published: (2024)
Prediction intervals for random-effects meta-analysis: a confidence distribution approach
by: Nagashima, Kengo, et al.
Published: (2018)
by: Nagashima, Kengo, et al.
Published: (2018)
Nonparametric regression with dependent censoring or competing risks
by: Shih, Jia-Han, et al.
Published: (2026)
by: Shih, Jia-Han, et al.
Published: (2026)
Doubly robust estimation with functional outcomes missing at random
by: Liu, Xijia, et al.
Published: (2024)
by: Liu, Xijia, et al.
Published: (2024)
Testing similarity of competing risks models by comparing transition probabilities
by: Lange, Zoe Kristin, et al.
Published: (2025)
by: Lange, Zoe Kristin, et al.
Published: (2025)
Optimal individualized treatment regimes for survival data with competing risks
by: Zhou, Christina W., et al.
Published: (2024)
by: Zhou, Christina W., et al.
Published: (2024)
Deep learning for interval-censored failure time data from case-cohort studies
by: Xiao, Yeyu, et al.
Published: (2025)
by: Xiao, Yeyu, et al.
Published: (2025)
Rank estimation for the accelerated failure time model with partially interval-censored data
by: Choi, Taehwa, et al.
Published: (2025)
by: Choi, Taehwa, et al.
Published: (2025)
Joint analysis for multivariate longitudinal and event time data with a change point anchored at interval-censored event time
by: Zhan, Yue, et al.
Published: (2026)
by: Zhan, Yue, et al.
Published: (2026)
On the calibration of survival models with competing risks
by: Alberge, Julie, et al.
Published: (2026)
by: Alberge, Julie, et al.
Published: (2026)
A path-specific effect approach to mediation analysis with time-varying mediators and time-to-event outcomes accounting for competing risks
by: Domingo-Relloso, Arce, et al.
Published: (2024)
by: Domingo-Relloso, Arce, et al.
Published: (2024)
Regression adjustment in covariate-adaptive randomized experiments with missing covariates
by: Fu, Wanjia, et al.
Published: (2025)
by: Fu, Wanjia, et al.
Published: (2025)
Multiple tests for restricted mean time lost with competing risks data
by: Munko, Merle, et al.
Published: (2024)
by: Munko, Merle, et al.
Published: (2024)
Imputing missing not-at-random longitudinal marker values in time-to-event analysis: fully conditional specification multiple imputation in joint modeling
by: Murad, Havi, et al.
Published: (2024)
by: Murad, Havi, et al.
Published: (2024)
Competing-risk Weibull survival model with multiple causes
by: Wang, Kai, et al.
Published: (2025)
by: Wang, Kai, et al.
Published: (2025)
Robust estimation of optimal dynamic treatment regimes with nonignorable missing covariates
by: Sun, Jian, et al.
Published: (2025)
by: Sun, Jian, 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)
Combining missing data imputation and internal validation in clinical risk prediction models
by: Mi, Junhui, et al.
Published: (2024)
by: Mi, Junhui, et al.
Published: (2024)
Separable pathway effects of semi-competing risks using multi-state models
by: Deng, Yuhao, et al.
Published: (2023)
by: Deng, Yuhao, et al.
Published: (2023)
Robust confidence intervals for generalized linear models
by: Panarotto, Andrea, et al.
Published: (2026)
by: Panarotto, Andrea, et al.
Published: (2026)
Estimating treatment effects with competing intercurrent events in randomized controlled trials
by: Lu, Sizhu, et al.
Published: (2025)
by: Lu, Sizhu, et al.
Published: (2025)
Maximum likelihood abundance estimation from capture-recapture data when covariates are missing at random
by: Liu, Yang, et al.
Published: (2025)
by: Liu, Yang, et al.
Published: (2025)
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)
Fast computation of exact confidence intervals for randomized experiments with binary outcomes
by: Aronow, P. M., et al.
Published: (2023)
by: Aronow, P. M., et al.
Published: (2023)
Joint model for interval-censored semi-competing events and longitudinal data with subject-specific within and between visits variabilities
by: Courcoul, Léonie, et al.
Published: (2024)
by: Courcoul, Léonie, et al.
Published: (2024)
A multistate approach for mediation analysis in the presence of semi-competing risks with application in cancer survival disparities
by: Valeri, Linda, et al.
Published: (2021)
by: Valeri, Linda, et al.
Published: (2021)
R-miss-tastic: a unified platform for missing values methods and workflows
by: Mayer, Imke, et al.
Published: (2019)
by: Mayer, Imke, et al.
Published: (2019)
Clustering data with values missing at random using scale mixtures of multivariate skew-normal distributions
by: Pillay, Jason, et al.
Published: (2025)
by: Pillay, Jason, et al.
Published: (2025)
Similar Items
-
Semiparametric Regression for Misclassified Competing Risks Data
by: Balanos, Theofanis, et al.
Published: (2026) -
Robust propensity score weighting estimation under missing at random
by: Wang, Hengfang, et al.
Published: (2023) -
Vaccine sieve analysis on deep sequencing data using competing risks Cox regression with failure type subject to misclassification
by: Peng, James, et al.
Published: (2025) -
Resampling-based confidence intervals and bands for the average treatment effect in observational studies with competing risks
by: Rühl, Jasmin, et al.
Published: (2023) -
Boosting prediction with data missing not at random
by: Bian, Yuan, et al.
Published: (2025)