Advancing Interpretable Regression Analysis for Binary Data: A Novel Distributed Algorithm Approach is a research paper published in Statistics in Medicine (2024). On theSindex it has a DataRank of 0. It has been cited 2 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 Institutes of Health
Grant: R01AG073435
NIH HHS
Grant: R01LM012607
National Institutes of Health
Grant: R56AG074604
NIH HHS
Grant: 1R01AG077820
Patient-Centered Outcomes Research Institute
Grant: ME-2019C3-18315
NLM NIH HHS
Grant: R01 LM013519
NIAID NIH HHS
Grant: R21 AI167418
National Institutes of Health
Grant: RF1AG077820
NIH HHS
Grant: R01AI130460
NEI NIH HHS
Grant: R21 EY034179
NIH HHS
Grant: U01TR003709
NLM NIH HHS
Grant: R01 LM014344
NIH HHS
Grant: R56AG069880
National Institutes of Health
Grant: U24MH136069
NIH HHS
Grant: 1R01LM014344
National Institutes of Health
Grant: R01DK128237
Patient-Centered Outcomes Research Institute
Grant: ME-2018C3-14899
NHLBI NIH HHS
Grant: OT2 HL161847
National Institutes of Health
Grant: 5R01DK128237-03
Novel evidence-accumulation-driven methods for characterizing kidney stone progression
National Institutes of Health
Grant: 1R21EY034179-01A1
Surrogate Augmented Deep Predictive Learning for Retinopathy of Prematurity
National Institutes of Health
Grant: 5R56AG069880-02
Advancing Drug Repositioning for Alzheimer’s Disease using Real-world Data
National Institutes of Health
Grant: 5R01LM012607-03
A General Framework to Account for Outcome Reporting Bias in Systematic Reviews
National Institutes of Health
Grant: 3OT2HL161847-01S3
OTA-21-015A Post-Acute Sequelae of SARS-CoV-2 Infection Initiative: NYU Langone Health Clinical Science Core, Data Resource Core, and PASC Biorepository Core
National Institutes of Health
Grant: 1R21AI167418-01A1
Methods for Estimating Disease Burden of Seasonal Influenza
National Institutes of Health
Grant: 5R01LM014344-03
ClinEX - Clinical Evidence Extraction, Representation, and Appraisal
National Institutes of Health
Grant: 3U24MH136069-02S1
Coordinating Individually Measured Phenotypes to Advance Mental Health Research
National Institutes of Health
Grant: 5U01TR003709-04
PANDA-MSD: Predictive Analytics via Networked Distributed Algorithms for Multi-System Diseases
National Institutes of Health
Grant: 1RF1AG077820-01A1
AI-ADRD: Accelerating interventions of AD/ADRD via Machine learning methods
National Institutes of Health
Grant: 5R01AG073435-04
TRiPOD: Toward Reusable Phenotypes in Observational Data for AD/ADRD - managing definitions and correcting bias
National Institutes of Health
Grant: 5R01LM013519-03
PheBC: bias correction methods for EHR derived phenotype
National Institutes of Health
Grant: 1R56AG074604-01
CICADA: clinical informatics and computational approaches for drug-repositioning of AD/ADRD
National Institutes of Health
Grant: 1R01AI130460-01
Dynamic learning for post-vaccine event prediction using temporal information in VAERS
Fields of Study
MeSH Terms
Keywords