A Bayesian Approach to Modeling Variance of Intensive Longitudinal Biomarker Data as a Predictor of Health Outcomes is a research paper published in Statistics in Medicine (2024). On theSindex it has a DataRank of 0. It has been cited 1 time.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
National Institutes of Health
Grant: R01MD‐016244
National Institutes of Health
Grant: R56AG‐066693
NIH HHS
Grant: R01MD-016244
NIH HHS
Grant: R56AG-066693
NIMHD NIH HHS
Grant: R01 MD016244
National Institutes of Health
Grant: 1R56AG066693-01A1
Variance as a Predictor of Health Outcomes (Resub)
National Institutes of Health
Grant: 5R01MD016244-03
Racial inequalities in sleep deficiencies: The role of stress in the workplace
FWCI
0.39
Citation Percentile
0.7%
Citation Trend
Fields of Study
MeSH Terms
Keywords