:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Sadatsafavi, Mohsen, Riley, Richard D.
Format:	Preprint
Published:	2026
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2605.19163
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)

Bayesian sample size calculations for external validation studies of risk prediction models
by: Sadatsafavi, Mohsen, et al.
Published: (2025)

Expected value of sample information calculations for risk prediction model development
by: Safari, Abdollah, 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)

Non-parametric inference on calibration of predicted risks
by: Sadatsafavi, Mohsen, et al.
Published: (2023)

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)

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

Evaluating Treatment Benefit Predictors using Observational Data: Contending with Identification and Confounding Bias
by: Xia, Yuan, et al.
Published: (2024)

Identification of distributions for risks based on the first moment and c-statistic
by: Sadatsafavi, Mohsen, et al.
Published: (2024)

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)

Recommendations for visual predictive checks in Bayesian workflow
by: Säilynoja, Teemu, et al.
Published: (2025)

Non-parametric assessment of the calibration of individualized treatment effects
by: Sadatsafavi, Mohsen, 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)

Supporting Bayesian modelling workflows with iterative filtering for multiverse analysis
by: Riha, Anna Elisabeth, et al.
Published: (2024)

A Bayesian workflow for securitizing casualty insurance risk
by: Haines, Nathaniel, et al.
Published: (2024)

Multivariate Bayesian dynamic modeling for causal prediction
by: Tierney, Graham, et al.
Published: (2023)

Optimal Bayesian predictive probability for delayed response in single-arm clinical trials with binary efficacy outcome
by: Yoshimoto, Takuya, et al.
Published: (2024)

Combining missing data imputation and internal validation in clinical risk prediction models
by: Mi, Junhui, et al.
Published: (2024)

Prediction meets causal inference: the role of treatment in clinical prediction models
by: van Geloven, Nan, et al.
Published: (2020)

Scoping review of methodology for aiding generalisability and transportability of clinical prediction models
by: Ploddi, Kritchavat, et al.
Published: (2024)

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

Bayesian analysis of the causal reference-based model for missing data in clinical trials
by: Nansereko, Brendah, et al.
Published: (2025)

How to develop, externally validate, and update multinomial prediction models
by: Gehringer, Celina K, et al.
Published: (2023)

Designing a quasi-experiment to study the clinical impact of adaptive risk prediction models
by: Odeh-Couvertier, Valerie, et al.
Published: (2025)

Bayesian weighted discrete-time dynamic models for association football prediction
by: Macrì-Demartino, Roberto, et al.
Published: (2025)

Bayesian calculus and predictive characterizations of extended feature allocation models
by: Beraha, Mario, et al.
Published: (2025)

Joint estimation of insurance loss development factors using Bayesian hidden Markov models
by: Goold, Conor
Published: (2024)

A Bayesian model-free dose-finding approach in Phase II clinical trials with the flexibility of historical borrowing
by: Han, Linxi, et al.
Published: (2025)

Distribution-Free Bayesian multivariate predictive inference
by: Yekutieli, Daniel
Published: (2021)

Simulation-based Bayesian predictive probability of success for interim monitoring of clinical trials with competing event data: two case studies
by: Micoli, Chiara, et al.
Published: (2024)

Sample size reassessment in Bayesian hybrid clinical trials
by: Ratta, Marco, et al.
Published: (2025)

Fast Bayesian inference for spatial mean-parameterized Conway-Maxwell-Poisson models
by: Kang, Bokgyeong, et al.
Published: (2023)

Bayesian nonparametric mean residual life regression
by: Poynor, Valerie, et al.
Published: (2014)

Causal language jumps in clinical practice guidelines for diabetes management
by: Wang, Keling, et al.
Published: (2025)

Approximate Bayesian Computation with Deep Learning and Conformal prediction
by: Baragatti, Meili, et al.
Published: (2024)

Flexible cost-penalized Bayesian model selection: developing inclusion paths with an application to diagnosis of heart disease
by: Porter, Erica M., et al.
Published: (2023)

Designing and evaluating advanced adaptive randomised clinical trials: a practical guide
by: Granholm, Anders, et al.
Published: (2025)

Overview and practical recommendations on using Shapley Values for identifying predictive biomarkers via CATE modeling
by: Svensson, David, et al.
Published: (2025)

Bayesian joint modelling of longitudinal biomarkers to enable extrapolation of overall survival: an application using larotrectinib trial clinical data
by: Linsell, Louise, et al.
Published: (2025)

A general Bayesian approach to design adaptive clinical trials with time-to-event outcomes
by: McGree, James M., et al.
Published: (2023)