Thomas Alexander Gerds
Professor
Section of Biostatistics
Øster Farimagsgade 5 opg. B, P.O.Box 2099, DK-1014 Copenhagen K, Building 15, Building: 15-2-07
Denmark
My research is about the theory and the applications of statistical methods for binary, longitudinal and time-to-event data. I participate in collaborative projects in which modern statistical methods are used to draw causal conclusions from observational studies with the aim to improve information systems and treatment options. I contribute to the ongoing development of statistical methodology and computer algorithms for studies in medicine and public health.
Primary fields of research
I am collaborating with the Danish Heart Foundation and associated research groups on registry data studies with a focus on study design and causal inference and machine learning for pharmacoepidemiology.
ID: 545081
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1082
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Familial clustering of Staphylococcus aureus bacteraemia
Research output: Contribution to conference › Poster › Research
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157
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SmoothHazard: An R package for fitting regression models to interval-censored observations of illness-death models
Research output: Contribution to journal › Journal article › Research › peer-review
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148
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riskRegression: Predicting the risk of an event using Cox regression models
Research output: Contribution to journal › Journal article › Research › peer-review
Published