ArticleNumerical linear algebra with applications2018
Perturbation analysis in finite LD-QBD processes and applications to epidemic models.
Article in Numerical linear algebra with applications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
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Who cites it
5 citing papers in PubMed.
- On time-discretized versions of the stochastic SIS epidemic model: a comparative analysis.Journal of mathematical biology · 2021Article
- A Multicompartment SIS Stochastic Model with Zonal Ventilation for the Spread of Nosocomial Infections: Detection, Outbreak Management, and Infection Control.Risk analysis : an official publication of the Society for Risk Analysis · 2019Article
- Perturbation analysis in finite LD-QBD processes and applications to epidemic models.Numerical linear algebra with applications · 2018Article
- Quantifying the phosphorylation timescales of receptor-ligand complexes: a Markovian matrix-analytic approach.Open biology · 2018Article
- A unified stochastic modelling framework for the spread of nosocomial infections.Journal of the Royal Society, Interface · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
In this paper, we adapt arguments from the paper by Caswell [11] to
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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.