🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Yiran Zhang

ORCID: 0000-0002-5796-5490
MathematicsPsychologyEconomics, Econometrics and Finance

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile
0Author DataRank

Indexed papers

0in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 6 papers. Top paper: “Bayesian variable selection for high-dimensional data with an ordinal response: identifying genes associated with prognostic risk group in acute myeloid leukemia”.

Bayesian variable selection for high-dimensional data with an ordinal response: identifying genes associated with prognostic risk group in acute myeloid leukemia

BMC Bioinformatics(2021)10.1186/s12859-021-04432-w
N/A
0DataRank · unranked
5 citations

Kellie J. Archer, Yiran Zhang

Bayesian Variable Selection For High-Dimensional Data With An Ordinal Response: Application Predicting Prognostic Risk Group In Acute Myeloid Leukemia

Research Square(2021)10.21203/rs.3.rs-581629/v1
N/A
0DataRank · unranked
0 citations

Kellie J. Archer, Yiran Zhang

ordinalbayes: Fitting Ordinal Bayesian Regression Models to High-Dimensional Data Using R

Stats(2022)10.3390/stats5020021
N/A
0DataRank · unranked
4 citations

Anna Eames Seffernick, Shuai Sun, Yiran Zhang, Kellie J. Archer

Ordinalbayes: Fitting Ordinal Bayesian Regression Models to High-Dimensional Data Using R

Preprints.org(2022)10.20944/preprints202203.0182.v1
N/A
0DataRank · unranked
1 citations

Anna Eames Seffernick, Shuai Sun, Yiran Zhang, Kellie J. Archer

Marginal Structural Illness-Death Models for Semi-Competing Risks Data

arXiv (Cornell University)(2022)10.48550/arxiv.2204.10426
N/A
0DataRank · unranked
1 citations

Ying, Andrew, Edland, Steve, White, Lon, Xu, Ronghui, Yiran Zhang

Marginal Structural Illness-Death Models for Semi-competing Risks Data

Statistics in Biosciences(2024)10.1007/s12561-023-09413-6
N/A
0DataRank · unranked
2 citations

Andrew Ying, Steve Edland, Lon R. White, Ronghui Xu, Yiran Zhang