Christopher McKennan

5 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0003-2096-8257

Department of Statistics, University of Pittsburgh

Publications

• A novel framework to quantify uncertainty in peptide-tandem mass spectrum matches with application to nanobody peptide identification — The Annals of Applied Statistics 2025
• Accurate estimation of rare cell-type fractions from tissue omics data via hierarchical deconvolution — The Annals of Applied Statistics 2024
• Estimating and Accounting for Unobserved Covariates in High-Dimensional Correlated Data — Journal of the American Statistical Association 2022
• Estimation and inference in metabolomics with nonrandom missing data and latent factors — The Annals of Applied Statistics 2020
• Accounting for unobserved covariates with varying degrees of estimability in high-dimensional biological data — Biometrika 2019