Kathryn Roeder

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

ORCID: 0000-0002-8869-6254

Department of Statistics and Data Science, Carnegie Mellon University , 5000 Forbes Avenue, Pittsburgh, Pennsylvania 15213, U.S.A

Publications

• Assumption-Lean Post-Integrated Inference with Surrogate-Control Outcomes — Biometrika 2026
• Augmented doubly robust post-imputation inference for proteomic data — The Annals of Applied Statistics 2025
• Simultaneous Inference for Generalized Linear Models with Unmeasured Confounders — Journal of the American Statistical Association 2025
• Asymptotic Distribution-Free Independence Test for High-Dimension Data — Journal of the American Statistical Association 2024
• Gradient-based sparse principal component analysis with extensions to online learning — Biometrika 2023
• Rejoinder for “Exponential-Family Embedding With Application to Cell Developmental Trajectories for Single-Cell RNA-Seq Data” — Journal of the American Statistical Association 2021
• Exponential-Family Embedding With Application to Cell Developmental Trajectories for Single-Cell RNA-Seq Data — Journal of the American Statistical Association 2021
• Covariance-Based Sample Selection for Heterogeneous Data: Applications to Gene Expression and Autism Risk Gene Detection — Journal of the American Statistical Association 2021
• A unified statistical framework for single cell and bulk RNA sequencing data — The Annals of Applied Statistics 2018 (name-matched, not ORCID-linked)
• Testing high-dimensional covariance matrices, with application to detecting schizophrenia risk genes — The Annals of Applied Statistics 2017 (name-matched, not ORCID-linked)
• Network assisted analysis to reveal the genetic basis of autism — The Annals of Applied Statistics 2015
• Refining genetically inferred relationships using treelet covariance smoothing — The Annals of Applied Statistics 2013
• The huge Package for High-dimensional Undirected Graph Estimation in R — Journal of Machine Learning Research 2012 (name-matched, not ORCID-linked)
• A spectral graph approach to discovering genetic ancestry — The Annals of Applied Statistics 2010
• Comment — Journal of the American Statistical Association 2006
• False discovery control with p-value weighting — Biometrika 2006
• Comment — Journal of the American Statistical Association 2006
• Outlier Detection and False Discovery Rates for Whole-Genome DNA Matching — Journal of the American Statistical Association 2003
• Modeling Uncertainty in Latent Class Membership: A Case Study in Criminology — Journal of the American Statistical Association 1999
• Measuring heterogeneity in forensic databases using hierarchical Bayes models — Biometrika 1998
• A Bayesian semiparametric model for case-control studies with errors in variables — Biometrika 1997
• Moment-based oscillation properties of mixture models — The Annals of Statistics 1997
• Practical Bayesian Density Estimation Using Mixtures of Normals — Journal of the American Statistical Association 1997
• A Semiparametric Mixture Approach to Case-Control Studies with Errors in Covariables — Journal of the American Statistical Association 1996
• Overdispersion Diagnostics for Generalized Linear Models — Journal of the American Statistical Association 1995
• A Graphical Technique for Determining the Number of Components in a Mixture of Normals — Journal of the American Statistical Association 1994
• Semiparametric Estimation of Normal Mixture Densities — The Annals of Statistics 1992
• Forensic Inference from DNA Fingerprints — Journal of the American Statistical Association 1992
• Residual Diagnostics for Mixture Models — Journal of the American Statistical Association 1992
• Density Estimation with Confidence Sets Exemplified by Superclusters and Voids in the Galaxies — Journal of the American Statistical Association 1990
• A Unified Treatment of Integer Parameter Models — Journal of the American Statistical Association 1987