Evidence map›Paper›PMID 33323054›Full record

ArticleJournal of the Royal Society, Interface2020

Identifiability analysis for stochastic differential equation models in systems biology.

Alexander P Browning, David J Warne, Kevin Burrage, Ruth E Baker, Matthew J Simpson

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
–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

37 citing papers in PubMed.

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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

5 authors.

Alexander P BrowningSchool of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia.
David J WarneSchool of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia.
Kevin BurrageSchool of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia.
Ruth E BakerMathematical Institute, University of Oxford, Oxford, UK.
Matthew J SimpsonSchool of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia.

Funding

Biotechnology and Biological Sciences Research Council BB/R000816/1Biotechnology and Biological Sciences Research Council BB/R00816/1
6 · The paper itself

Abstract

Mathematical models are routinely calibrated to experimental data, with goals ranging from building predictive models to quantifying parameters that cannot be measured. Whether or not reliable parameter estimates are obtainable from the available data can easily be overlooked. Such issues of

Indexed as

Models, BiologicalSystems BiologyModels, TheoreticalSoftwareStochastic ProcessesidentifiabilityMarkov chain Monte Carlomoment dynamicsnoisestochastic differential equationsstochasticity

Identifiers

PMID33323054
PMCPMC7811582

What OpenQuestion holds

Textmetadata
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.