crm12comb: Phase I/II adaptive design for drug combinations based on CRM design through R

Adaptive designs for integrated phase I/II trials of drug combinations are increasingly utilized to speed up the drug development process and enhance drug efficacy, particularly in the realm of cancer therapy. The model-based Continual Reassessment Method (CRM) for dose-finding is widely used to leverage accumulated data in guiding patient allocation, drawing on principles from the Bayesian framework. In this paper, we present crm12Comb, an R package we developed to streamline the Phase I/II adaptive design process for drug combinations using the CRM approach. This package supports patients' assignment guidance in a single trial based on existing data, as well as simulation studies for conducting extensive simulations with multiple trial parameters to evaluate operating characteristics and create visual representations. It accounts for toxicity and efficacy as binary outcomes, applying partial orderings to the dose-toxicity and dose-efficacy relationships for drug combinations. crm12Comb allows for a wide range of user-specified parameters, including maximum number of patients, cohort size, drug combinations, and a variety of link functions with prior distributions, offering flexibility to accommodate diverse clinical scenarios.

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Journal
PLoS ONE
Published
2025-11-10
DOI
https://doi.org/10.1371/journal.pone.0336146
Primary Topic
Statistical Methods in Clinical Trials
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article
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article

crm12comb: Phase I/II adaptive design for drug combinations based on CRM design through R

Jie Yang, Song Wu, Junying Wang
PLoS ONE
Statistical Methods in Clinical Trials
article

crm12comb: Phase I/II adaptive design for drug combinations based on CRM design through R

Jie Yang, Song Wu, Junying Wang
article en

Abstract

Adaptive designs for integrated phase I/II trials of drug combinations are increasingly utilized to speed up the drug development process and enhance drug efficacy, particularly in the realm of cancer therapy. The model-based Continual Reassessment Method (CRM) for dose-finding is widely used to leverage accumulated data in guiding patient allocation, drawing on principles from the Bayesian framework. In this paper, we present crm12Comb, an R package we developed to streamline the Phase I/II adaptive design process for drug combinations using the CRM approach. This package supports patients' assignment guidance in a single trial based on existing data, as well as simulation studies for conducting extensive simulations with multiple trial parameters to evaluate operating characteristics and create visual representations. It accounts for toxicity and efficacy as binary outcomes, applying partial orderings to the dose-toxicity and dose-efficacy relationships for drug combinations. crm12Comb allows for a wide range of user-specified parameters, including maximum number of patients, cohort size, drug combinations, and a variety of link functions with prior distributions, offering flexibility to accommodate diverse clinical scenarios.

PLoS ONEVol. 20(11)
Stony Brook Medicine (US), Stony Brook University (US)
Openalex Percentile: Top 69%
Statistical Methods in Clinical Trials
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crm12comb: Phase I/II adaptive design for drug combinations based on CRM design through R — Jie Yang, Song Wu, et al. · PLoS ONE (2025) | TGRS Research Map | TGRS