:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Kenny, Avi, Voldal, Emily C., Xia, Fan, Chan, Kwun Chuen Gary, Heagerty, Patrick J., Hughes, James P.
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Methodology
Accesso online:	https://arxiv.org/abs/2503.11472
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Analysis of stepped wedge cluster randomized trials in the presence of a time-varying treatment effect
di: Kenny, Avi, et al.
Pubblicazione: (2021)

Robust analysis of stepped wedge trials using composite likelihood models
di: Emily C. Voldal, et al.
Pubblicazione: (2024)

Robust and Efficient Semiparametric Inference for the Stepped Wedge Design
di: Xia, Fan, et al.
Pubblicazione: (2025)

Analysis of Stepped-Wedge Cluster Randomized Trials when treatment effects vary by exposure time or calendar time
di: Lee, Kenneth M., et al.
Pubblicazione: (2024)

Model-robust standardization in stepped wedge designs
di: Fang, Xi, et al.
Pubblicazione: (2025)

Dimension-reduced outcome-weighted learning for estimating individualized treatment regimes in observational studies
di: Son, Sungtaek, et al.
Pubblicazione: (2026)

Time-varying treatment effect models in stepped-wedge cluster-randomized trials with multiple interventions
di: Chen, Zhe, et al.
Pubblicazione: (2025)

Weighted Brier Score -- an Overall Summary Measure for Risk Prediction Models with Clinical Utility Consideration
di: Zhu, Kehao, et al.
Pubblicazione: (2024)

GMM with Many Weak Moment Conditions and Nuisance Parameters: General Theory and Applications to Causal Inference
di: Wang, Rui, et al.
Pubblicazione: (2025)

Efficient Estimation under Multiple Missing Patterns via Balancing Weights
di: Dong, Jianing, et al.
Pubblicazione: (2025)

Balancing Weights for Non-monotone Missing Data
di: Dong, Jianing, et al.
Pubblicazione: (2024)

A tutorial on conducting sample size and power calculations for detecting treatment effect heterogeneity in cluster randomized trials with linear mixed models
di: Baumann, Mary Ryan, et al.
Pubblicazione: (2025)

Can discrete-time analyses be trusted for stepped wedge trials with continuous recruitment?
di: Wang, Hao, et al.
Pubblicazione: (2025)

Flexible Functional Treatment Effect Estimation
di: Wang, Jiayi, et al.
Pubblicazione: (2023)

Assessing mediation in cross-sectional stepped wedge cluster randomized trials
di: Cao, Zhiqiang, et al.
Pubblicazione: (2024)

Power calculation for cross-sectional stepped wedge cluster randomized trials with a time-to-event endpoint
di: Baumann, Mary Ryan, et al.
Pubblicazione: (2023)

How to achieve model-robust inference in stepped wedge trials with model-based methods?
di: Wang, Bingkai, et al.
Pubblicazione: (2024)

Statistical inference with win statistics in cluster-randomized trials with composite outcomes
di: Fang, Xi, et al.
Pubblicazione: (2026)

Covariate-adjusted win statistics in randomized clinical trials with ordinal outcomes
di: Cao, Zhiqiang, et al.
Pubblicazione: (2025)

A Bayesian framework for cost-effectiveness analysis with time-varying treatment decisions
di: Fernández-Morales, Esteban, et al.
Pubblicazione: (2026)

Repeated sampling of different individuals but the same clusters to improve precision of difference-in-differences estimators: the DISC design
di: Downey, Jordan, et al.
Pubblicazione: (2024)

Maintaining the validity of inference from linear mixed models in stepped-wedge cluster randomized trials under misspecified random-effects structures
di: Ouyang, Yongdong, et al.
Pubblicazione: (2023)

Analysis of cohort stepped wedge cluster-randomized trials with non-ignorable dropout via joint modeling
di: Gasparini, Alessandro, et al.
Pubblicazione: (2024)

Randomization inference for stepped-wedge designs with noncompliance with application to a palliative care pragmatic trial
di: Zhang, Jeffrey, et al.
Pubblicazione: (2025)

Optimal Bayesian stepped-wedge cluster randomised trial designs for binary outcome data
di: Etfer, Laura, et al.
Pubblicazione: (2024)

A sensitivity analysis approach to principal stratification with a continuous longitudinal intermediate outcome: Applications to a cohort stepped wedge trial
di: Yang, Lei, et al.
Pubblicazione: (2024)

A discrete-time survival model to handle interval-censored covariates, with applications to HIV cohort studies
di: Kenny, Avi, et al.
Pubblicazione: (2024)

One-step TMLE for weighted average treatment effects
di: Liu, Yang, et al.
Pubblicazione: (2026)

Model-assisted analysis of covariance estimators for stepped wedge cluster randomized experiments
di: Chen, Xinyuan, et al.
Pubblicazione: (2023)

Evaluating time-varying treatment effects in hybrid SMART-MRT designs
di: Li, Mengbing, et al.
Pubblicazione: (2026)

Estimation of time-varying treatment effects using marginal structural models dependent on partial treatment history
di: Seya, Nodoka, et al.
Pubblicazione: (2024)

Evaluating causal indirect effects when mediators are left-censored by assay limit of quantification
di: Jiang, Cong, et al.
Pubblicazione: (2026)

Irregular measurement times in estimating time-varying treatment effects: Categorizing biases and comparing adjustment methods
di: Kant, Wouter M. R., et al.
Pubblicazione: (2025)

On the limitations for causal inference in Cox models with time-varying treatment
di: Knudsen, Mark B., et al.
Pubblicazione: (2025)

Robust and Data-Adaptive Integration of Nonconcurrent Data in Platform Trials via Gaussian Processes
di: Qian, Yuhan, et al.
Pubblicazione: (2026)

Leveraging machine learning to estimate individualized treatment effects in cluster-randomized trials
di: Li, Changjun, et al.
Pubblicazione: (2026)

Estimating average treatment effects when treatment data are absent in a target study
di: Wen, Lan, et al.
Pubblicazione: (2025)

Evolving Longitudinal Patient Histories and Re-enrollment in Master Protocol Trials
di: Wan, Shiyu, et al.
Pubblicazione: (2026)

Optimizing precision in stepped-wedge designs via machine learning and quadratic inference functions
di: Lyu, Liangbo, et al.
Pubblicazione: (2026)

Cost-Effectiveness Analysis for Disease Prevention -- A Case Study on Colorectal Cancer Screening
di: Xiong, Yi, et al.
Pubblicazione: (2024)