Two-phase analysis and study design for survival models with error-prone exposures is a research paper published in Statistical Methods in Medical Research (2020). On theSindex it has a DataRank of 0.406. It has been cited 14 times.
Scored on demand from live citation data
Linked data & code
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.
Base Score Contribution
0.406
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 →Patient-Centered Outcomes Research Institute
Grant: R-1609-36207
National Institutes of Health
Grant: R01-AI131771
NIAID NIH HHS
Grant: R37 AI131771
NIAID NIH HHS
Grant: R01 AI131771
Keywords
sj-pdf-1-smm-10.1177_0962280220978500 - Supplemental material for Two-phase analysis and study design for survival models with error-prone exposures
Two-phase analysis and study design for survival models with error-prone exposures
Two-phase analysis and study design for survival models with error-prone exposures
sj-pdf-1-smm-10.1177_0962280220978500 - Supplemental material for Two-phase analysis and study design for survival models with error-prone exposures