Training

R/Unix basics

Quarto books

To learn more about Quarto books visit: https://quarto.org/docs/books/.

Tutorial / methodology papers

  1. Heinsberg LW, Davis TS, Maher D, Bender CM, Conley YP, Weeks DE. Multivariate Bayesian Analyses in Nursing Research: An Introductory Guide. Biol Res Nurs. 2024 Oct 16:10998004241292644. doi: 10.1177/10998004241292644. Epub ahead of print. PMID: 39413351.

  2. Heinsberg LW, Weeks DE. dbGaPCheckup: pre-submission checks of dbGaP-formatted subject phenotype files. BMC Bioinformatics. 2023 Mar 3;24(1):77. doi: 10.1186/s12859-023-05200-8. PMID: 36869285; PMCID: PMC9985192.

  3. Heinsberg LW, Koleck TA, Ray M, Weeks DE, Conley YP. Advancing Nursing Research Through Interactive Data Visualization With R Shiny. Biol Res Nurs. 2023 Jan;25(1):107-116. doi: 10.1177/10998004221121109. Epub 2022 Aug 26. PMID: 36029021; PMCID: PMC9900251.

  4. Heinsberg LW, Weeks DE. Post hoc power is not informative. Genet Epidemiol. 2022 Oct;46(7):390-394. doi: 10.1002/gepi.22464. Epub 2022 Jun 1. PMID: 35642557; PMCID: PMC9452450.

  5. Heinsberg LW, Conley YP. Omics for Nurse Scientists Conducting Environmental Health Research. Annu Rev Nurs Res. 2019 Dec 23;38(1):35-52. doi: 10.1891/0739-6686.38.35. PMID: 32102954; PMCID: PMC7100388.

Free R code!

From my GitHub page

  1. R code to perform backward elimination with a bootstrap stability investigation to support valid post-selection inference

  2. A practical guide for conducting multivariate Bayesian analyses for analyzing correlated phenotypes in nursing research (repository link)

  3. R code to perform checks of dbGaP data set and data dictionary (repository link)

  4. R code to create interactive data visualizations using R shiny

  5. Simulation code detailing why post hoc power is not informative

  6. Tutorial with code - practical example demonstrating how to design, preregister, and execute reproducible statistical analyses — using synthetic data and human–AI partnership workflows.

Image made using DALL-E