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Thomas Alexander Gerds

  • Postboks 2099, Øster Farimagsgade 5 opg. B, 1014 København K, 15 Øster Farimagsgade 5, 15-2-07

    Denmark

20012020

Research activity per year

Personal profile

Short presentation

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.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Keywords

  • Faculty of Health and Medical Sciences
  • Prediction modelling strategies
  • Competing risk models
  • Statistical software
  • Censored data
  • Event history analysis
  • Statistics for Cardiology

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Collaborations and top research areas from the last five years

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