ArticleCPT: pharmacometrics & systems pharmacology2026
Integration of Time-Varying Pharmacometric Modeling With Cox Regression for Time-to-Event Analysis in NONMEM.
Article in CPT: pharmacometrics & systems pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Although time-varying Cox regression modeling approaches have been developed, exposure-response analyses for time-to-event (TTE) endpoints often rely on static exposure covariates and may overlook the real-world dosing variability and drug concentration fluctuations over time. To better characterize pharmacokinetic (PK) or pharmacodynamic (PD) effects on TTE endpoints, a methodology was proposed to integrate time-varying pharmacometric models with Cox regression in the non-linear mixed effects modeling software, NONMEM. Clinical trial simulations were conducted with different sample sizes and dose levels, employing a one-compartment PK model, a bathtub-shaped function for event hazard, and an I
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