Copertina

Correction to “A Comparison of Methods to Adjust Survival Curves for Confounders”

Fuente: Wiley Open Access

Salvato in:

Dettagli Bibliografici
Natura:	Artículo Open Access
Pubblicazione:	Wiley 2025
Soggetti:	Statistics in Medicine
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Covariate‐Adjusted Group Sequential Comparisons of Survival Probabilities
di: Peter Zhang, et al.
Pubblicazione: (2025)

Causal Machine Learning Methods and Use of Cross‐Fitting in Settings With High‐Dimensional Confounding
di: Susan Ellul, et al.
Pubblicazione: (2025)

Assessing Treatment Effects in Observational Data With Missing Confounders: A Comparative Study of Practical Doubly‐Robust and Traditional Missing Data Methods
di: Brian D. Williamson, et al.
Pubblicazione: (2026)

A Bayesian Approach to Estimate Causal Average Treatment Effects Under Unmeasured Confounding
di: Jinghong Zeng
Pubblicazione: (2026)

Bayesian Sensitivity Analysis for Causal Estimation With Time‐Varying Unmeasured Confounding
di: Yushu Zou, et al.
Pubblicazione: (2026)

Adjusting for Ascertainment Bias in Meta‐Analysis of Penetrance for Cancer Risk
di: Thanthirige Lakshika M. Ruberu, et al.
Pubblicazione: (2025)

Estimation of Cancer Incidence Trends Adjusted for Changes in Screening and Detection Processes
di: Bastien Trächsel, et al.
Pubblicazione: (2025)

A Comparison of Two Methods for Adaptive Multi‐Arm Two‐Stage Design
di: Cyrus Mehta, et al.
Pubblicazione: (2025)

A Note on “A Comparison of Two Methods for Adaptive Multi‐Arm Two‐Stage Design”
di: Silke Jörgens, et al.
Pubblicazione: (2026)

Sensitivity Analysis for Effects of Multiple Exposures in the Presence of Unmeasured Confounding: Non‐Gaussian and Time‐to‐Event Outcomes
di: Seungjae Lee, et al.
Pubblicazione: (2024)

Adjusted Nelson–Aalen Estimators by Inverse Treatment Probability Weighting With an Estimated Propensity Score
di: Yuhao Deng, et al.
Pubblicazione: (2025)

Natural Effects in the Presence of an Intermediate Confounder: Evaluation of Pragmatic Estimation Strategies With an Emphasis on the Relationship Between Natural and Interventional Effects
di: Jesse Gervais, et al.
Pubblicazione: (2025)

A Novel Stratified Analysis Method for Testing and Estimating Overall Treatment Effects on Time‐To‐Event Outcomes Using Average Hazard With Survival Weight
di: Zihan Qian, et al.
Pubblicazione: (2025)

Cluster‐Level Analyses to Estimate a Risk Difference in a Cluster Randomized Trial With Confounding Individual‐Level Covariates: A Simulation Study
di: Jules Antoine Pereira Macedo, et al.
Pubblicazione: (2025)

Transformed ROC Curve for Biomarker Evaluation
di: Jianping Yang, et al.
Pubblicazione: (2024)

A New Test for Assessing the Covariate Effect in ROC Curves
di: Arís Fanjul‐Hevia, et al.
Pubblicazione: (2025)

A Comparison of Statistical Methods for Time‐To‐Event Analyses in Randomized Controlled Trials Under Non‐Proportional Hazards
di: Florian Klinglmüller, et al.
Pubblicazione: (2025)

Probability of Success for Establishing Noninferiority Across Multiple Visits: Extension of Covariate‐Adjusted Bayesian Hierarchical Modeling Framework
di: Yujie Zhao, et al.
Pubblicazione: (2026)

Causal Covariate Selection for the Regression Calibration Method for Exposure Measurement Error Bias Correction
di: Wenze Tang, et al.
Pubblicazione: (2026)

Random Survival Forest for Censored Functional Data
di: Giuseppe Loffredo, et al.
Pubblicazione: (2025)

Comparison of Methods for Sensitivity Analysis of Heterogeneous Treatment Effects in Observational Studies and Application to Alzheimer's Disease and Cognitive Decline
di: Jingqi Duan, et al.
Pubblicazione: (2026)

Model Validation for Survival Analysis by Smoothed Predictive Likelihood
di: Chengyuan Lu, et al.
Pubblicazione: (2025)

On Window Mean Survival Time With Interval‐Censored Data
di: Takuto Iijima, et al.
Pubblicazione: (2026)

Generalized Estimating Equations for Survival Data With Dependent Censoring
di: Lili Yu, et al.
Pubblicazione: (2024)

Meta‐Analysis of Median Survival Times With Inverse‐Variance Weighting
di: Sean McGrath, et al.
Pubblicazione: (2026)

Doubly Robust Estimation of Marginal Cumulative Incidence Curves for Competing Risk Analysis
di: Patrick van Hage, et al.
Pubblicazione: (2025)

Improve the Precision of Area Under the Curve Estimation for Recurrent Events Through Covariate Adjustment
di: Jiren Sun, et al.
Pubblicazione: (2025)

Permutation Tests Based on the Copula‐Graphic Estimator and Their Use for Survival Tree Construction
di: Pauline Baur, et al.
Pubblicazione: (2026)

A Functional Joint Model for Survival and Multivariate Sparse Functional Data in Multi‐Cohort Alzheimer's Disease Study
di: Wenyi Wang, et al.
Pubblicazione: (2026)

Time‐Dependent ROC Curve for Multiple Longitudinal Biomarkers and Its Application in Diagnosing Cardiovascular Events
di: Lizhe Sun, et al.
Pubblicazione: (2025)

An Augmented Likelihood Approach Incorporating Error‐Prone Auxiliary Data Into a Survival Analysis
di: Noorie Hyun, et al.
Pubblicazione: (2025)

Structured Nonlinear Cure Model With Deep Neural Networks for High‐Dimensional Survival Analysis
di: Xingdong Feng, et al.
Pubblicazione: (2026)

Partially Linear Additive Quantile Regression: Theory and Applications to Breast Cancer Patients' Survival
di: Xinyi Zhao, et al.
Pubblicazione: (2026)

Using Quadratic Programming to Reconstruct Data From Published Survival and Competing Risks Analyses
di: Andrew C. Titman
Pubblicazione: (2026)

Pairwise Comparisons of k Binomial Responses
di: Dennis D. Boos, et al.
Pubblicazione: (2026)

Nonparametric Path‐Specific Effects on a Survival Outcome Through Multiple Time‐to‐Event Mediators
di: Yen‐Tsung Huang, et al.
Pubblicazione: (2025)

Random Survival Forest With Multiple Imputation Analysis for Case‐Cohort and Generalized Case‐Cohort Studies
di: Haolin Li, et al.
Pubblicazione: (2025)

Model‐Free Approach to Evaluate a Censored Intermediate Outcome as a Surrogate for Overall Survival
di: Xuan Wang, et al.
Pubblicazione: (2025)

Survival causal rule ensemble method considering the main effect for estimating heterogeneous treatment effects
di: Ke Wan, et al.
Pubblicazione: (2024)

Balancing Events, Not Patients, Maximizes Power of the Logrank Test: And Other Insights on Unequal Randomization in Survival Trials
di: Godwin Yung, et al.
Pubblicazione: (2025)