ArticleMolecular bioSystems2011
Comment on "Sloppy models, parameter uncertainty, and the role of experimental design".
Article in Molecular bioSystems, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed.
- Sloppiness: Fundamental study, new formalism and its application in model assessment.PloS one · 2023Article
- Information geometry for multiparameter models: new perspectives on the origin of simplicity.Reports on progress in physics. Physical Society (Great Britain) · 2022Review
- Practical identifiability in the frame of nonlinear mixed effects models: the example of the in vitro erythropoiesis.BMC bioinformatics · 2021Article
- A dynamic transport model for quantification of norovirus internalization in lettuce from irrigation water and associated health risk.The Science of the total environment · 2018Article
- The Limitations of Model-Based Experimental Design and Parameter Estimation in Sloppy Systems.PLoS computational biology · 2016Article
- Bridging Mechanistic and Phenomenological Models of Complex Biological Systems.PLoS computational biology · 2016Article
- Reverse engineering and identification in systems biology: strategies, perspectives and challenges.Journal of the Royal Society, Interface · 2014Review
- Convergence in parameters and predictions using computational experimental design.Interface focus · 2013Article
- Optimal experiment selection for parameter estimation in biological differential equation models.BMC bioinformatics · 2012Article
- Reply to Comment on "Sloppy models, parameter uncertainty, and the role of experimental design"Molecular bioSystems · 2011Article
Corrections and comments
- Comment on
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We explain that part of the reduction in the parameter uncertainties in the computations of Apgar et al. (Mol. Biosyst. 2010, 6, 1890-900) is due to a greatly increased number of effective data points.
Indexed as
Identifiers
21503370What OpenQuestion holds
Registered trials
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.