pmrm: Progression Models for Repeated Measures

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Authors: William Michael Landau, Lars Lau Rakêt, Kasper Kristensen
Cited by: 0
References: 4

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