Cover Image

Sample size planning for estimating the global win probability with assurance and precision

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shu, Di, Zou, Guangyong
Format:	Preprint
Published:	2024
Subjects:	Methodology 62 G.3
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Doubly robust integration of nonprobability and probability survey data
by: Seaman, Shaun R, et al.
Published: (2025)

Unifying small area estimators based on area-level and unit-level models through calibration
by: Acero, William, et al.
Published: (2024)

A mixture logistic model for panel data with a Markov structure
by: Cheng, Yu-Hsiang, et al.
Published: (2023)

Integrating Expert Knowledge and Recursive Bayesian Inference: A Framework for Spatial and Spatio-Temporal Data Challenges
by: Figueira, Mario, et al.
Published: (2025)

Statistical Inferences and Predictions for Areal Data and Spatial Data Fusion with Hausdorff--Gaussian Processes
by: Godoy, Lucas da Cunha, et al.
Published: (2022)

Kernel Discrepancy-Based Rerandomization for Controlled Experiments
by: Li, Yiou, et al.
Published: (2019)

The chiPower transformation: a valid alternative to logratio transformations in compositional data analysis
by: Greenacre, Michael
Published: (2022)

Correction of estimator bias in linear regression with categorical covariates with classification error
by: Dias, Alexandre Garcia, et al.
Published: (2025)

Nonparametric Empirical Bayes Estimation on Heterogeneous Data
by: Banerjee, Trambak, et al.
Published: (2020)

Estimating probabilities of multivariate failure sets based on pairwise tail dependence coefficients
by: Kiriliouk, Anna, et al.
Published: (2022)

A statistical framework for planning and analysing test-retest studies for repeatability of quantitative biomarker measurements
by: Danzer, Moritz Fabian, et al.
Published: (2023)

Quantile-respectful density estimation based on the Harrell-Davis quantile estimator
by: Akinshin, Andrey
Published: (2024)

Over the Stability Space of a Multivariate Time Series
by: Vásquez-Martínez, Roberto, et al.
Published: (2025)

Data-adaptive structural change-point detection via isolation
by: Anastasiou, Andreas, et al.
Published: (2024)

Asymptotically Optimal Knockoff Statistics via the Masked Likelihood Ratio
by: Spector, Asher, et al.
Published: (2022)

Monitoring a developing pandemic with available data
by: Gámiz, María Luz, et al.
Published: (2023)

Low quality exposure and point processes with a view to the first phase of a pandemic
by: Gámiz, María Luz, et al.
Published: (2023)

Generative modelling of multivariate geometric extremes using normalising flows
by: De Monte, Lambert, et al.
Published: (2025)

On variance estimation for the one-sample log-rank test
by: Danzer, Moritz Fabian, et al.
Published: (2021)

Linked factor analysis
by: Vinci, Giuseppe
Published: (2024)

Enhancing Dose Selection in Phase I Cancer Trials: Extending the Bayesian Logistic Regression Model with Non-DLT Adverse Events Integration
by: Nizzardo, Andrea, et al.
Published: (2024)

Nonparametric tests of treatment effect homogeneity for policy-makers
by: Dukes, Oliver, et al.
Published: (2024)

On the two-step hybrid design for augmenting randomized trials using real-world data
by: Xu, Jiapeng, et al.
Published: (2025)

Learning a directed acyclic graph with additive heteroscedastic errors
by: Xia, Xintao, et al.
Published: (2026)

Semi-functional partial linear regression with measurement error: An approach based on $k$NN estimation
by: Novo, Silvia, et al.
Published: (2024)

Statistical Multicriteria Benchmarking via the GSD-Front
by: Jansen, Christoph, et al.
Published: (2024)

Kernel-based estimators for functional causal effects
by: Raykov, Yordan P., et al.
Published: (2025)

Martingale Posterior Distributions for Log-concave Density Functions
by: Cui, Fuheng, et al.
Published: (2024)

Identification of Latent Group Effects under Conditional Calibration
by: Kurbucz, Marcell T.
Published: (2026)

Nonparametric Estimation via Expected Order Statistics
by: Lando, Tommaso, et al.
Published: (2026)

Sparse estimation in ordinary kriging for functional data
by: Matsui, Hidetoshi, et al.
Published: (2023)

Rejoinder to the discussion of "Mode-based estimation of the center of symmetry"
by: Chacón, José E., et al.
Published: (2025)

Change of some cropping systems in a long-term trial comparing different systems: rationale and implications for statistical analysis
by: Piepho, Hans-Peter, et al.
Published: (2025)

Covariance matrix completion via auxiliary information
by: Steneman, Joseph, et al.
Published: (2024)

Visual analysis of bivariate dependence between continuous random variables
by: Erdely, Arturo, et al.
Published: (2024)

Local Quasi-Exponential Growth Models: Kernel Differential Equation Regression and Sparse Data
by: Ge, Chunlei, et al.
Published: (2025)

Differentially Private Estimation and Inference in High-Dimensional Regression with FDR Control
by: Cai, Zhanrui, et al.
Published: (2023)

Hierarchical Overlapping Group Lasso for GMANOVA Model
by: Ohishi, M., et al.
Published: (2025)

KOO Method-based Consistent Clustering for Group-wise Linear Regression with Graph Structure
by: Ohishi, M., et al.
Published: (2025)

Locally Optimal Design for A/B Testing in the Presence of Covariates and Network Connection
by: Zhang, Qiong, et al.
Published: (2020)