Omar Vazquez

MathematicsAgricultural and Biological Sciences

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 4 papers. Top paper: “Debiased Lasso After Sample Splitting for Estimation and Inference in High Dimensional Generalized Linear Models”.

Debiased Lasso After Sample Splitting for Estimation and Inference in High Dimensional Generalized Linear Models

arXiv (Cornell University)(2023)10.48550/arxiv.2302.14218

N/A

0DataRank · unranked

0 citations

Bin Nan, Omar Vazquez

Debiased lasso after sample splitting for estimation and inference in high‐dimensional generalized linear models

Canadian Journal of Statistics(2024)10.1002/cjs.11827

N/A

0DataRank · unranked

2 citations

Bin Nan, Omar Vazquez

Analyzing Left-Truncated Samples with the Cox Model in the Presence of Missing Covariates

Statistics in Biosciences(2024)10.1007/s12561-024-09442-9

N/A

0DataRank · unranked

0 citations

Hayley M. Locke, Sharon X. Xie, Omar Vazquez

Robust inverse probability weighted estimators for doubly truncated Cox regression with closed-form standard errors

Lifetime Data Analysis(2025)10.1007/s10985-025-09650-5

N/A

0DataRank · unranked

0 citations

Sharon X. Xie, Omar Vazquez