the Alzheimer's Disease Cooperative Study

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 2 papers. Top paper: “A Weighted Prognostic Covariate Adjustment Method for Efficient and Powerful Treatment Effect Inferences in Randomized Controlled Trials”.

A Weighted Prognostic Covariate Adjustment Method for Efficient and Powerful Treatment Effect Inferences in Randomized Controlled Trials

arXiv (Cornell University)(2023)10.48550/arxiv.2309.14256

N/A

0DataRank · unranked

2 citations

Anna A. Vidovszky, Jessica L. Ross, Arman Sabbaghi, Jonathan R. Walsh, Charles K. Fisher +6 more

Enhancing Longitudinal Clinical Trial Efficiency with Digital Twins and Prognostic Covariate-Adjusted Mixed Models for Repeated Measures (PROCOVA-MMRM)

arXiv (Cornell University)(2024)10.48550/arxiv.2404.17576

N/A

0DataRank · unranked

3 citations

Arman Sabbaghi, Run Zhuang, Daniele Bertolini, the Alzheimer's Disease Cooperative Study, Alzheimer’s Disease Neuroimaging Initiative +5 more