Copertina

Cluster randomized trials designed to support generalizable inferences

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Robertson, Sarah E., Steingrimsson, Jon A., Dahabreh, Issa J.
Natura:	Preprint
Pubblicazione:	2022
Soggetti:	Methodology
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Causal inference under transportability assumptions for conditional relative effect measures
di: Wang, Guanbo, et al.
Pubblicazione: (2024)

Interpretable meta-analysis of model or marker performance
di: Steingrimsson, Jon A., et al.
Pubblicazione: (2024)

Efficient estimation of subgroup treatment effects using multi-source data
di: Wang, Guanbo, et al.
Pubblicazione: (2024)

Estimating and evaluating counterfactual prediction models
di: Boyer, Christopher B., et al.
Pubblicazione: (2023)

Generalizing and transporting causal inferences from randomized trials in the presence of trial engagement effects
di: Ung, Lawson, et al.
Pubblicazione: (2024)

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

The role of assignment in defining and identifying causal effects in randomized trials
di: Dahabreh, Issa J., et al.
Pubblicazione: (2024)

Robust integration of external control data in randomized trials
di: Karlsson, Rickard, et al.
Pubblicazione: (2024)

Using the target trial framework for combining information: external comparator analyses and other applications
di: Ung, Lawson, et al.
Pubblicazione: (2026)

Robust estimation of heterogeneous treatment effects in randomized trials leveraging external data
di: Karlsson, Rickard, et al.
Pubblicazione: (2025)

Tree-based methods for estimating heterogeneous model performance and model combining
di: Zhang, Ruotao, et al.
Pubblicazione: (2025)

Identification strategies for combining an experimental study with external data
di: Ung, Lawson, et al.
Pubblicazione: (2024)

Constructing external comparator groups via transportability in mean or in effect measure
di: Ung, Lawson, et al.
Pubblicazione: (2026)

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

Conformal causal inference for cluster randomized trials: model-robust inference without asymptotic approximations
di: Wang, Bingkai, et al.
Pubblicazione: (2024)

Causally-interpretable meta-analysis using aggregate data
di: Shi, Qingyang, et al.
Pubblicazione: (2026)

A Bayesian Framework for Causal Analysis of Recurrent Events with Timing Misalignment
di: Oganisian, Arman, et al.
Pubblicazione: (2023)

An adaptive design for optimizing treatment assignment in randomized clinical trials
di: Zhang, Wei, et al.
Pubblicazione: (2025)

Causal inference for N-of-1 trials
di: Piccininni, Marco, et al.
Pubblicazione: (2024)

Optimal allocation of sample size for randomization-based inference from $2^K$ factorial designs
di: Ravichandran, Arun, et al.
Pubblicazione: (2023)

Bayesian inference for cluster-randomized trials with multivariate outcomes subject to both truncation by death and missingness
di: Tong, Guangyu, et al.
Pubblicazione: (2025)

Robust estimation of loss‐based measures of model performance under covariate shift
di: Samantha Morrison, et al.
Pubblicazione: (2024)

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

Automated, efficient and model-free inference for randomized clinical trials via data-driven covariate adjustment
di: Van Lancker, Kelly, 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)

Efficient Randomized Experiments Using Foundation Models
di: De Bartolomeis, Piersilvio, et al.
Pubblicazione: (2025)

A time-to-event three-outcome design for randomized phase II cancer trials
di: Shan, Minghua
Pubblicazione: (2025)

Causal mediation in cluster-randomized trials with multiple mediators: spillover-aware decomposition, identification, and semiparametric efficient inference
di: Tong, Jiaqi, et al.
Pubblicazione: (2026)

Finite-sample bias-variance tradeoff with variables related to trial participation inserted into causal forest models for ensuring generalizability
di: Hamaya, Rikuta, et al.
Pubblicazione: (2025)

Conformal inference for random objects
di: Zhou, Hang, et al.
Pubblicazione: (2024)

Design and inference for multi-arm clinical trials with informational borrowing: the interacting urns design
di: Aletti, Giacomo, 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)

More power to you: Using machine learning to augment human coding for more efficient inference in text-based randomized trials
di: Mozer, Reagan, et al.
Pubblicazione: (2023)

Q-approximation of operating characteristics of clinical trial designs
di: Gentile, Susanna, et al.
Pubblicazione: (2026)

Efficient designs for multivariate crossover trials
di: Niphadkar, Shubham, et al.
Pubblicazione: (2024)

Clustered random forests with correlated data for optimal estimation and inference under potential covariate shift
di: Young, Elliot H., et al.
Pubblicazione: (2025)

Neymanian inference in randomized experiments
di: Chattopadhyay, Ambarish, et al.
Pubblicazione: (2024)

Conditional inference in cis-Mendelian randomization using weak genetic factors
di: Patel, Ashish, et al.
Pubblicazione: (2020)

Bayesian inference of sparsity in stable vector autoregressive processes
di: Heaps, Sarah E., et al.
Pubblicazione: (2026)

A comparison of methods for designing hybrid type 2 cluster-randomized trials with continuous effectiveness and implementation endpoints
di: Owen, Melody, et al.
Pubblicazione: (2025)