Causal inference over stochastic networks is a research paper published in Journal of the Royal Statistical Society Series A (Statistics in Society) (2024). On theSindex it has a DataRank of 0. It has been cited 5 times.
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 Science Foundation
Grant: NSF, MMS-0851555, SES-1357619, IIS-1546259, CCF-2200197
National Institute of Child Health and Human Development
Grant: NICHD, R21HD063000, R21HD075714 and R24-HD041022
NICHD NIH HHS
Grant: R21 HD063000
NICHD NIH HHS
Grant: R21 HD075714
NICHD NIH HHS
Grant: R24 HD041022
National Science Foundation
Grant: 0851555
Statistical Methods for Respondent Driven Sampling Data
National Science Foundation
Grant: 1357619
Scalable Model-Based Inference for Social Networks from Complex Sampling Designs
National Science Foundation
Grant: 1546259
BIGDATA: Collaborative Research: IA: Population Reproduction of Poverty at Birth from Surveys, Censuses, and Birth Registrations
National Institutes of Health
Grant: 1R21HD075714-01A1
Innovations in Network Modeling for HIV Prevention Studies
National Institutes of Health
Grant: 1R21HD063000-01
Valid Inference for Respondent Driven Sampling of Hidden Networked Populations
National Institutes of Health
Grant: 3R24HD041022-10S1
California Center for Population Research
FWCI
2.51
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals