Anne Helby Petersen
PhD fellow
Section of Biostatistics
Øster Farimagsgade 5 opg. B, Postb, 1014 København K, Bygning 15, Building: 15-2-22A
ORCID: 0000-0003-3801-7230
My PhD project aims to develop new statistical methods for integrating data driven machine learning methods with dynamic life course analysis. These methods will be applied to Danish register data and data from the Metropolit cohort to obtain a better understanding of social- and health trajectories leading to diagnoses of depression, dementia and alcohol abuse.
ID: 135828042
Most downloads
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172
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
Published -
170
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dataMaid: Your Assistant for Documenting Supervised Data Quality Screening in R
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
23
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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