Imagen de Portada

Doubly protected estimation for survival outcomes utilizing external controls for randomized clinical trials

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Gao, Chenyin, Yang, Shu, Shan, Mingyang, Ye, Wenyu Wendy, Lipkovich, Ilya, Faries, Douglas
Formato:	Preprint
Publicado:	2024
Materias:	Methodology Applications
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Improving randomized controlled trial analysis via data-adaptive borrowing
por: Gao, Chenyin, et al.
Publicado: (2023)

Doubly robust omnibus sensitivity analysis of externally controlled trials with intercurrent events
por: Gao, Chenyin, et al.
Publicado: (2025)

Double Machine Learning Methods for Estimating Average Treatment Effects: A Comparative Study
por: Tan, Xiaoqing, et al.
Publicado: (2022)

Estimating optimal interpretable individualized treatment regimes from a classification perspective using adaptive LASSO
por: Zhang, Yunshu, et al.
Publicado: (2026)

Doubly Robust Fusion of Many Treatments for Policy Learning
por: Zhu, Ke, et al.
Publicado: (2025)

Estimating treatment effects with competing intercurrent events in randomized controlled trials
por: Lu, Sizhu, et al.
Publicado: (2025)

One-sample survival tests in the presence of non-proportional hazards in oncology clinical trials
por: Szurewsky, Chloé, et al.
Publicado: (2025)

Rank-based methods for estimating landmark win probability in longitudinal randomized controlled trials with missing data
por: Zou, Guangyong, et al.
Publicado: (2026)

Doubly robust estimation of causal effects for random object outcomes with continuous treatments
por: Bhattacharjee, Satarupa, et al.
Publicado: (2025)

Bias reduction in g-computation for covariate adjustment in randomized clinical trials
por: Zhang, Xin, et al.
Publicado: (2025)

Data-driven controlled subgroup selection in clinical trials
por: Müller, Manuel M., et al.
Publicado: (2025)

Subgroup analysis methods for time-to-event outcomes in heterogeneous randomized controlled trials
por: Perrin, Valentine, et al.
Publicado: (2024)

A robust score test in g-computation for covariate adjustment in randomized clinical trials leveraging different variance estimators via influence functions
por: Zhang, Xin, et al.
Publicado: (2025)

Balancing events, not patients, maximizes power of the logrank test: and other insights on unequal randomization in survival trials
por: Yung, Godwin, et al.
Publicado: (2024)

Nonparametric estimation of an optimal treatment rule with fused randomized trials and missing effect modifiers
por: Williams, Nicholas, et al.
Publicado: (2025)

Rank-based estimators of global treatment effects for cluster randomized trials with multiple endpoints
por: Smith, E. Davies, et al.
Publicado: (2024)

Observing the unobserved confounding through its effects: toward randomized trial-like estimates from real-world survival data
por: Stoumpou, Vasiliki, et al.
Publicado: (2026)

The R.O.A.D. to clinical trial emulation
por: Bertsimas, Dimitris, et al.
Publicado: (2024)

Using shrinkage methods to estimate treatment effects in overlapping subgroups in randomized clinical trials with a time-to-event endpoint
por: Wolbers, Marcel, et al.
Publicado: (2024)

Bayesian Record Linkage with Variables in One File
por: Kamat, Gauri, et al.
Publicado: (2023)

Continuous monitoring of delayed outcomes in basket trials
por: Diniz, Marcio A., et al.
Publicado: (2026)

On the Role of Surrogates in Conformal Inference of Individual Causal Effects
por: Gao, Chenyin, et al.
Publicado: (2024)

Weighting methods for truncation by death in cluster-randomized trials
por: Isenberg, Dane, et al.
Publicado: (2024)

Multiply robust estimation for causal survival analysis with treatment noncompliance
por: Cheng, Chao, et al.
Publicado: (2023)

A Bayesian hierarchical mixture cure modelling framework to utilize multiple survival datasets for long-term survivorship estimates: A case study from previously untreated metastatic melanoma
por: Green, Nathan, et al.
Publicado: (2024)

Blinded sample size re-estimation accounting for uncertainty in mid-trial estimation
por: Maeda, Hirotada, et al.
Publicado: (2026)

Correcting for bias due to mismeasured exposure in mediation analysis with a survival outcome
por: Cheng, Chao, et al.
Publicado: (2023)

Generalizing conditional average treatment effects from nested randomized trials to all trial-eligible individuals
por: Wen, Lan, et al.
Publicado: (2026)

Sensitivity analysis for contamination in egocentric-network randomized trials with interference
por: Weinstein, Bar, et al.
Publicado: (2026)

Dose optimization design accounting for unknown patient heterogeneity in cancer clinical trials
por: Silva, Rebecca B., et al.
Publicado: (2025)

Assurance Methods for designing a clinical trial with a delayed treatment effect
por: Salsbury, James, et al.
Publicado: (2023)

Eliciting prior information from clinical trials via calibrated Bayes factor
por: Demartino, Roberto Macrì, et al.
Publicado: (2024)

ZIKQ: An innovative centile chart method for utilizing natural history data in rare disease clinical development
por: Wang, Tianying, et al.
Publicado: (2024)

Multilevel functional distributional models with application to continuous glucose monitoring in diabetes clinical trials
por: Matabuena, Marcos, et al.
Publicado: (2024)

Cognitive factor-based selection increases power in Alzheimer's dementia randomized clinical trials
por: Gallini, Julia, et al.
Publicado: (2025)

The Role of Congeniality in Multiple Imputation for Doubly Robust Causal Estimation
por: McGowan, Lucy D'Agostino
Publicado: (2025)

Augmented Doubly Robust Post-Imputation Inference for Proteomic Data
por: Moon, Haeun, et al.
Publicado: (2024)

A pseudo-outcome-based framework to analyze treatment heterogeneity in survival data using electronic health records
por: Bo, Na, et al.
Publicado: (2024)

Comparison of methods for analyzing environmental mixtures effects on survival outcomes and application to a population-based cohort study
por: Mayer, Melanie N., et al.
Publicado: (2023)

The role of randomization inference in unraveling individual treatment effects in early phase vaccine trials
por: Chen, Zhe, et al.
Publicado: (2023)