:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Martin, Glen P., Bladon, Sian, Whittle, Rebecca, Wells, Molly, Collins, Gary S., Riley, Richard D.
Format:	Preprint
Published:	2026
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2605.07312
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A general sample size framework for developing or updating a clinical prediction model
by: Riley, Richard D, et al.
Published: (2025)

Compatibility of Missing Data Handling Methods across the Stages of Producing Clinical Prediction Models
by: Tsvetanova, Antonia, et al.
Published: (2025)

A decomposition of Fisher's information to inform sample size for developing or updating fair and precise clinical prediction models -- Part 3: continuous outcomes
by: Whittle, Rebecca, et al.
Published: (2025)

A decomposition of Fisher's information to inform sample size for developing fair and precise clinical prediction models -- Part 2: time-to-event outcomes
by: Riley, Richard D, et al.
Published: (2025)

Sample Size Calculations for Developing Clinical Prediction Models: Overview and pmsims R package
by: Shamsutdinova, Diana, et al.
Published: (2026)

Stability of clinical prediction models developed using statistical or machine learning methods
by: Riley, Richard D, et al.
Published: (2022)

Sample Size Calculations for the Development of Risk Prediction Models that Account for Performance Variability
by: Pavlou, Menelaos, et al.
Published: (2025)

A decomposition of Fisher's information to inform sample size for developing fair and precise clinical prediction models -- part 1: binary outcomes
by: Riley, Richard D, et al.
Published: (2024)

Sequential sample size calculations and learning curves safeguard the robust development of a clinical prediction model for individuals
by: Legha, Amardeep, et al.
Published: (2025)

On Using Large Language Models to Enhance Clinically-Driven Missing Data Recovery Algorithms in Electronic Health Records
by: Lotspeich, Sarah C., et al.
Published: (2025)

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

Closed-Form Power and Sample Size Calculations for Bayes Factors
by: Pawel, Samuel, et al.
Published: (2024)

Robust Power and Sample Size Calculations in Quasi-likelihood Models: Methods and Practice
by: Yuan, Shijie, et al.
Published: (2026)

Extended sample size calculations for evaluation of prediction models using a threshold for classification
by: Whittle, Rebecca, et al.
Published: (2024)

powerROC: An Interactive Web Tool for Sample Size Calculation in Assessing Models' Discriminative Abilities
by: Grolleau, François, et al.
Published: (2025)

SEMMS with Random Effects: A Mixed-Model Extension for Variable Selection in Clustered and Longitudinal Data
by: Bar, Haim, et al.
Published: (2026)

Optimal Sample Size Calculation in Cost-Effectiveness Longitudinal Cluster Randomized Trials
by: Wang, Hao, et al.
Published: (2026)

The FORSS Framework for Sample Size and Power Calculations With Win Statistics for Hierarchical Endpoints
by: Zhang, Baoshan, et al.
Published: (2026)

Bayesian Power and Sample Size Calculations for Bayes Factors in the Binomial Setting
by: Kelter, Riko, et al.
Published: (2025)

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

Micro-randomized Trials with Categorical Treatments: Causal Effect Estimation and Sample Size Calculation
by: Lin, Jeremy, et al.
Published: (2025)

Power and Sample Size Calculations for Cluster Randomized Hybrid Type 2 Effectiveness-Implementation Studies
by: Owen, Melody A., et al.
Published: (2024)

Best of mini-N in-loop Sampling: A Contextual Quality Reward Model for Reliable and Efficient Best-of-N Sampling
by: Rho, Hyung Gyu, et al.
Published: (2025)

Correcting for Missing Data When Evaluating Surrogate Markers in a Clinical Trial
by: Lotspeich, Sarah C., et al.
Published: (2026)

Designing Efficient Hybrid and Single-Arm Trials: External Control Borrowing and Sample Size Calculation
by: Gao, Yujing, et al.
Published: (2025)

Unified and Simple Sample Size Calculations for Individual or Cluster Randomized Trials with Skewed or Ordinal Outcomes
by: Tu, Shengxin, et al.
Published: (2025)

Calculating the power of a planned individual participant data meta‐analysis to examine prognostic factor effects for a binary outcome
by: Rebecca Whittle, et al.
Published: (2024)

An Efficient Framework for Robust Sample Size Determination
by: Hagar, Luke, et al.
Published: (2025)

Power and Sample Size Calculations for Bayes Factors in two-arm clinical Phase II Trials with binary Endpoints
by: Kelter, Riko
Published: (2026)

Estimation of Semiparametric Factor Models with Missing Data
by: Zheng, Sijie
Published: (2025)

Is There an AI Bubble? Robust Date-Stamping for Periods of Exuberance
by: Sarkar, Abir, et al.
Published: (2026)

Inverse Probability Weighting of Count Exposures in the Presence of Missing Data: A Simulation Study
by: Danka, Martin N., et al.
Published: (2026)

Effective Sample Size for Functional Spatial Data
by: Alegría, Alfredo, et al.
Published: (2026)

Doubly Robust Machine Learning for Population Size Estimation with Missing Covariates: Application to Gaza Conflict Mortality
by: Rubio, Mateo Dulce, et al.
Published: (2026)

Model Uncertainty and Missing Data: An Objective Bayesian Perspective
by: García-Donato, Gonzalo, et al.
Published: (2024)

Predictive Uncertainty Quantification with Missing Covariates
by: Zaffran, Margaux, et al.
Published: (2024)

Conditional Predictive Inference for Missing Outcomes
by: Lee, Yonghoon, et al.
Published: (2024)

Prediction with Missing Data: Target Probabilities and Missingness Mechanisms
by: Catoire, Pierre, et al.
Published: (2026)

Exact PPS Sampling with Bounded Sample Size
by: Hentschel, Brian, et al.
Published: (2021)

Enhancing the Tensor Normal via Geometrically Parameterized Cholesky Factors
by: Simonis, Quinn, et al.
Published: (2025)