Anne Helby Petersen
Assistant Professor
Section of Biostatistics
Øster Farimagsgade 5 opg. B
1014 København K
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
- 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
- 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
- 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
ID: 135828042
Most downloads
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284
downloads
dataMaid: Your Assistant for Documenting Supervised Data Quality Screening in R
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
181
downloads
Survival prognosis and variable selection: A case study for metastatic castrate resistant prostate cancer patients
Research output: Contribution to journal › Journal article › Research › peer-review
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53
downloads
A DREAM challenge to build prediction models for short-term discontinuation of docetaxel in metastatic castration- resistant prostate cancer
Research output: Contribution to journal › Journal article › Research › peer-review
Published