Code and Data Repository for Estimation of Patient Recruitment Using Summary Data Aggregated Across Trials

Q: What type of study is this?

This is a Quantitative Study study.

Anh Ninh; Gregory J. Hunt; Diep Ngoc Nguyen

doi:10.1287/ijoc.2024.0780.cd

September 19, 2025INFORMS journal on computing

Code and Data Repository for Estimation of Patient Recruitment Using Summary Data Aggregated Across Trials

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Key Points

The analysis provides an estimation framework for patient recruitment in phase-III trials.
It utilizes a poisson-gamma model approach to derive key parameters from aggregated public trial data.
Implemented with a maximum likelihood method, the approach enhances recruitment prediction accuracy.
This framework may facilitate better planning and resource allocation in clinical trials.

Abstract

The goal of this analysis is to demonstrate an estimation framework that estimates Poisson-Gamma model parameters of Phase-III trials by leveraging data from multiple public trials using a maximum likelihood approach.

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Cite This Study

Ninh et al. (2025) studied this question.

synapsesocial.com/papers/68d6e1978b2b6861e4c403ef https://doi.org/10.1287/ijoc.2024.0780.cd

View Full Paper

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Code and Data Repository for Estimation of Patient Recruitment Using Summary Data Aggregated Across Trials

Key Points

Abstract

Discussion

Cite This Study

Code and Data Repository for Estimation of Patient Recruitment Using Summary Data Aggregated Across Trials

Key Points

Abstract

Discussion

Cite This Study

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