Elizabeth Atkinson is a Principal II Biostatistician with nearly five decades of experience at Mayo Clinic, specializing in aging and osteoporosis research across epidemiologic studies, trials, and longitudinal cohorts. She blends deep statistical expertise in survival analysis and statistical learning with hands-on experience in genomics and multi-omics (GWAS, RNAseq, WES, methylome, metabolomics). A seasoned user of SAS and R—where she serves as an R Steward helping teams migrate from SAS—she also leverages domain-specific tools like PLINK and MERLIN plus scripting (bash/sed/awk/perl) to scale analyses. Her work spans study design through reporting, and she teaches biostatistics as an Assistant Professor, bridging research and education. Notably, she has sustained long-term collaborative partnerships with aging researchers for over 32 years, bringing rare institutional memory and practical omics integration to complex clinical studies.
48 years of coding experience
8 years of employment as a software developer
Bachelor of Science (BS), Mathematics, Bachelor of Science (BS), Mathematics at Grinnell College
Master of Science (MS), Statistics, Master of Science (MS), Statistics at University of Iowa
:exclamation: This is a read-only mirror of the CRAN R package repository. rpart — Recursive Partitioning and Regression Trees. Homepage: https://github.com/bethatkinson/rpart, https://cran.r-project.org/package=rpart Report bugs for this package: https://github.com/bethatkinson/rpart/issues
Contributions:18 commits, 14 pushes, 1 branch in 1 year 4 months
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