pmrm: Progression Models for Repeated Measures
Abstract
A progression model for repeated measures (PMRM) is a continuous-time nonlinear mixed-effects model for longitudinal clinical trials in progressive diseases. Unlike mixed models for repeated measures (MMRMs), which estimate treatment effects as linear combinations of additive effects on the outcome scale, PMRMs characterize treatment effects in terms of the underlying disease trajectory. This framing yields clinically interpretable quantities such as average time saved and percent reduction in decline due to treatment. This package implements frequentist PMRMs by Raket (2022) using 'RTMB' by Kristensen (2016) .
Fields of Study & Subjects
Statistical Methods in Clinical Trials
Statistical Methods and Bayesian Inference
Pharmaceutical studies and practices
Publication details
- Publication date
- 30 January 2026
- Document type
- Dataset