Sequentially calibrating a Bayesian microsimulation model to incorporate new information and assumptions is a research paper published in BMC Medical Informatics and Decision Making (2022). On theSindex it has a DataRank of 0.416. It has been cited 15 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph β no black box, no proprietary weighting. How is this computed?
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Base Score Contribution
0.416
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology βNational Cancer Institute
Grant: U01-CA-199335
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Grant: U01-CA-CA253913
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Grant: R01GM121600
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Grant: U01 CA253913
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Grant: 3U01CA253913-03S1
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FWCI
1.97
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals