A Bayesian joint longitudinal-survival model with a latent stochastic process for intensive longitudinal data is a research paper published in Biometrics (2025). On theSindex it has a DataRank of 0.208. It has been cited 3 times.
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Base Score Contribution
0.208
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 →National Institutes of Health
Grant: F31DA057048
National Institutes of Health
Grant: R01DA039901
National Institutes of Health
Grant: P50DA054039
National Institutes of Health
Grant: R01DA014818
National Institutes of Health
Grant: P30CA042014
National Institutes of Health
Grant: R00CA252604
National Institutes of Health
Grant: U01CA229437
National Institutes of Health
Grant: U54CA280812
NCI NIH HHS
Grant: T32 CA083654
NCATS NIH HHS
Grant: UL1 TR002538
NIGMS NIH HHS
Grant: R01 GM152549
NCATS NIH HHS
Grant: UM1 TR004409
Huntsman Cancer Institute
Huntsman Cancer Institute
FWCI
3.23
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals