Evidence map›Paper›PMID 31207186›Full record

ArticleCPT: pharmacometrics & systems pharmacology2019

Nonlinear Mixed-Effects Model Development and Simulation Using nlmixr and Related R Open-Source Packages.

Matthew Fidler, Justin J Wilkins, Richard Hooijmaijers, Teun M Post, Rik Schoemaker, Mirjam N Trame, Yuan Xiong, Wenping Wang

Abstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

41 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. First-In-Human Trial of Encapsulated Cells Constitutively Expressing Localized IL2 in Patients with High-Grade Serous Ovarian Carcinoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Article
  5. Context Engineering for AI-Assisted Pharmacometrics: A Practical Tutorial.CPT: pharmacometrics & systems pharmacology · 2026
    Article
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  20. A Framework for Quantitative Systems Pharmacology Model Execution.Handbook of experimental pharmacology · 2025
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Matthew FidlerNovartis Pharmaceuticals Corporation, Fort Worth, Texas, USA.
Justin J WilkinsOccams Coöperatie UA, Amstelveen, The Netherlands.
Richard HooijmaijersLAP&P Consultants BV, Leiden, The Netherlands.
Teun M PostLAP&P Consultants BV, Leiden, The Netherlands.
Rik SchoemakerOccams Coöperatie UA, Amstelveen, The Netherlands.
Mirjam N TrameNovartis Institutes for BioMedical Research, Cambridge, Massachusetts, USA.
Yuan XiongCertara, Princeton, New Jersey, USA.
Wenping WangNovartis Pharmaceuticals Corporation, East Hanover, New Jersey, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

nlmixr is a free and open-source R package for fitting nonlinear pharmacokinetic (PK), pharmacodynamic (PD), joint PK-PD, and quantitative systems pharmacology mixed-effects models. Currently, nlmixr is capable of fitting both traditional compartmental PK models as well as more complex models implemented using ordinary differential equations. We believe that, over time, it will become a capable, credible alternative to commercial software tools, such as NONMEM, Monolix, and Phoenix NLME.

Indexed as

PharmacokineticsComputer SimulationHumansNonlinear DynamicsSoftwareSystems Biology

Identifiers

PMID31207186
PMCPMC6765694

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.