ArticleStatistica Neerlandica2018
Application of one-step method to parameter estimation in ODE models.
Article in Statistica Neerlandica, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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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.
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Who cites it
4 citing papers in PubMed.
- Analytical solution of phosphate kinetics for hemodialysis.Journal of mathematical biology · 2023Article
- Digital twins and the future of precision mental health.Frontiers in psychiatry · 2023Article
- Separable Nonlinear Least-Squares Parameter Estimation for Complex Dynamic Systems.Complexity · 2020Article
- Application of one-step method to parameter estimation in ODE models.Statistica Neerlandica · 2018Article
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Authors and funding
2 authors.
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Abstract
In this paper, we study application of Le Cam's one-step method to parameter estimation in ordinary differential equation models. This computationally simple technique can serve as an alternative to numerical evaluation of the popular non-linear least squares estimator, which typically requires the use of a multistep iterative algorithm and repetitive numerical integration of the ordinary differential equation system. The one-step method starts from a preliminary
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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.