Cover Image

Evaluating the impact of outcome delay on the efficiency of sample size re-estimation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mukherjee, Aritra, Grayling, Michael J, Wason, James J M S
Format:	Preprint
Published:	2026
Subjects:	Methodology Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Evaluating the impact of outcome delay on the efficiency of two-arm group-sequential trials
by: Mukherjee, Aritra, et al.
Published: (2023)

Bayesian sample size determination using robust commensurate priors with interpretable discrepancy weights
by: Whitehead, Lou E., et al.
Published: (2024)

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

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

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

On the estimation and interpretation of effect size metrics
by: Loukas, Orestis, et al.
Published: (2024)

A new statistical approach for joint modeling of longitudinal outcomes measured in electronic health records with clinically informative presence and observation processes
by: Du, Jiacong, et al.
Published: (2024)

Stochastic highway capacity: Unsuitable Kaplan-Meier estimator, revised maximum likelihood estimator, and impact of speed harmonisation
by: Mikolášek, Igor
Published: (2025)

Doubly protected estimation for survival outcomes utilizing external controls for randomized clinical trials
by: Gao, Chenyin, et al.
Published: (2024)

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases
by: Lotspeich, Sarah C., et al.
Published: (2025)

A hybrid approach to sample size re‐estimation in cluster randomized trials with continuous outcomes
by: Samuel K Sarkodie, et al.
Published: (2024)

Combining BART and Principal Stratification to estimate the effect of intermediate variables on primary outcomes with application to estimating the effect of family planning on employment in Nigeria and Senegal
by: Garraza, Lucas Godoy, et al.
Published: (2024)

Combining BART and Principal Stratification to estimate the effect of intermediate on primary outcomes with application to estimating the effect of family planning on employment in sub-Saharan Africa
by: Garraza, Lucas Godoy, et al.
Published: (2024)

Improving estimation for asymptotically independent bivariate extremes via global estimators for the angular dependence function
by: Murphy-Barltrop, C. J. R., et al.
Published: (2023)

Evaluating the impact of instrumental variables in propensity score models using synthetic and negative control experiments
by: Tian, Yuxi, et al.
Published: (2024)

Direct covariance matrix estimation with compositional data
by: Molstad, Aaron J., et al.
Published: (2022)

Predicting Distributions of Physical Activity Profiles in the NHANES Database Using a Partially Linear Fréchet Single Index Model
by: Matabuena, Marcos, et al.
Published: (2023)

Ridge, lasso, and elastic-net estimations of the modified Poisson and least-squares regressions for binary outcome data
by: Kitano, Takahiro, et al.
Published: (2024)

Incorporating nonparametric methods for estimating causal excursion effects in mobile health with zero-inflated count outcomes
by: Liu, Xueqing, et al.
Published: (2023)

A Bayesian semi-parametric approach to causal mediation for longitudinal mediators and time-to-event outcomes with application to a cardiovascular disease cohort study
by: Bhandari, Saurabh, et al.
Published: (2024)

Evaluating causal effects on time-to-event outcomes in an RCT in Oncology with treatment discontinuation
by: Ballerini, Veronica, et al.
Published: (2023)

Bayesian kernel machine regression for heteroscedastic health outcome data
by: Smith, Melissa J., et al.
Published: (2025)

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

Representative dietary behavior patterns and associations with cardiometabolic outcomes in Puerto Rico using a Bayesian latent class analysis for non-probability samples
by: Wu, Stephanie M., et al.
Published: (2025)

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

Bad estimation, good prediction: the Lasso in dense regimes
by: Bratsberg, Andrea, et al.
Published: (2025)

Extreme value methods for estimating rare events in Utopia
by: André, L. M., et al.
Published: (2023)

Cluster-Based Bayesian SIRD Modeling of Chickenpox Epidemiology in India
by: Mukherjee, Nayana, et al.
Published: (2026)

Policy Robustness & Uncertainty in Model-based Decision Support for the Energy Transition
by: Burton, Ian J., et al.
Published: (2025)

A longitudinal Bayesian framework for estimating causal dose-response relationships
by: Luo, Yu, et al.
Published: (2025)

A Bayesian joint model of multiple nonlinear longitudinal and competing risks outcomes for dynamic prediction in multiple myeloma: joint estimation and corrected two-stage approaches
by: Alvares, Danilo, et al.
Published: (2024)

Beyond expected values: Making environmental decisions using value of information analysis when measurement outcome matters
by: Akinlotan, Morenikeji D., et al.
Published: (2023)

A dimension reduction approach to edge weight estimation for use in spatial models
by: Christensen, Michael F., et al.
Published: (2024)

Facilitating heterogeneous effect estimation via statistically efficient categorical modifiers
by: Kowal, Daniel R.
Published: (2024)

Derivation of outcome-dependent dietary patterns for low-income women obtained from survey data using a Supervised Weighted Overfitted Latent Class Analysis
by: Wu, Stephanie M., et al.
Published: (2023)

A continuous-time Markov chain framework for population size estimation from multi-list data: accounting for absorbing lists and asymmetric interactions
by: Schaller, Ophélie, et al.
Published: (2026)

A Bayesian Prevalence Incidence Cure model for estimating survival using Electronic Health Records with incomplete baseline diagnoses
by: Pitt, Matilda, et al.
Published: (2026)

Confidence intervals for adaptive trial designs II: Case study and practical guidance
by: Robertson, David S., et al.
Published: (2024)

Confidence intervals for adaptive trial designs I: A methodological review
by: Robertson, David S., et al.
Published: (2024)

Double machine learning to estimate the effects of multiple treatments and their interactions
by: Xiang, Qingyan, et al.
Published: (2025)