Anne Helby Petersen

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My research focuses on the challenges associated with causal inference using observational data. I am particularly interested in causal discovery, the science of inferring causal relationships from empirical data,  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

   Constructing causal life course models: Comparative study of data-driven and theory-driven approaches

   Petersen, Anne Helby, Ekstrøm, Claus Thorn, Spirtes, P. & Osler, Merete, 2023, In: American Journal of Epidemiology. 192, 11, p. 1917–1927 11 p.

   Research output: Contribution to journal › Journal article › Research › peer-review

2. 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 journal › Journal article › Research › peer-review

3. 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 journal › Journal article › Research › peer-review

4. 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 journal › Journal article › Research › peer-review