Anne Helby Petersen

Anne Helby Petersen

Postdoc

My research focuses on the challenges associated with causal inference using observational data. I am particularly interested in causal discovery and how it can be made more applicable within life course studies and epidemiology more broadly.

Other topics I have an interest in include: Sibling comparison designs, supervised machine learning, missing information, register data. 

I also work with R development and have implemented several R packages (dataReporter, PCADSC, causalDisco, geeasy).

Selected publications

  1. Published

    Data-Driven Model Building for Life Course Epidemiology

    Petersen, Anne Helby, Osler, Merete & Ekstrøm, Claus Thorn, 2021, In: American Journal of Epidemiology. 190, 9, p. 1898–1907 10 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  2. Published

    What Is the Causal Interpretation of Sibling Comparison Designs?

    Petersen, Anne Helby & Lange, Theis, 2020, In: Epidemiology. 31, 1, p. 75-81 7 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. Published

    dataMaid: Your Assistant for Documenting Supervised Data Quality Screening in R

    Petersen, Anne Helby & Ekstrøm, Claus Thorn, 2019, In: Journal of Statistical Software. 90, 6, 38 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

ID: 135828042