Elena Dudukina

Elena Dudukina

Clinical Specialist/postdoc

Aarhus University

About me

I am a clinical specialist/postdoctoral researcher at the Department of Clinical Epidemiology, Aarhus University Hospital. I conduct research in reproductive epidemiology and women’s health, including observational RWE/PAS studies of drugs and vaccines in pregnancy. I am passionate about causal inference methods and R stats.


  • Causal Inference
  • Pharmacoepidemiology (drug utilization, drug safety and efficacy)
  • Women’s health and reproductive epidemiology
  • R stats


  • Logic, Causation and Probability, 2019

    University of California, Los Angeles

  • Pharmacoepidemiology Summer School, 2019 & 2018

    Aarhus University

  • Causal Inference in Health Sciences, 2019

    Aarhus University

  • Causal Inference Part II Drawing Causal Conclusions from Epidemiological Studies, 2018

    University of Copenhagen

  • Biostatistics I & II, 2018

    Aarhus University



Clinical Specialist/postdoc

Aarhus University Hospital, Department of Clinical Epidemiology

Sep 2021 – Present Denmark

Responsibilities include:

  • Design, execution and reporting of real-world evidence (RWE) pharmacoepidemiologic studies
  • Writing of study protocols, statistical analysis plans, study reports, scientific manuscripts
  • Providing scientific and methodological input on various aspects of study design and conducted or planned analyses
  • Creating abstracts, manuscripts and presentations
  • Project management

Skills include:

  • Using time-to-event modelling (Cox proportional hazards regression, Fine-Gray subdistribution hazard model), logistic regression, log-binomial regression, propensity-score based adjustment methods
  • Teaching incl. epidemiological designs and methods to Masters students overall covering > 200 hours
  • Data management, including complex cohort and variables ascertainment from various health and administrative databases, and statistical analyses involving PS adjustment methods (IPTW, ATT weighting, fine PS stratification, PS weighting, PS stratification, PS matching)

PhD in Epidemiology

Aarhus University, Department of Clinical Epidemiology

Jun 2018 – Jun 2021 Denmark

Responsibilities include:

  • Participating in development of the research protocols and statistical analyses plans for own and collaborative projects
  • Independent data management, incl. cohort and variables ascertainment from various Danish health and administrative databases
  • Statistical analyses

MSc in Biomedicine

Radboud University

Jan 2015 – Jan 2017 the Netherlands
MSc level courses in clinical epidemiology, epidemiology of infectious diseases, and statistics. Applied training during 6-months internship at Radboudumc and another 6-months external internship at Rijksinstituut voor Volksgezondheid en Milieu (RIVM).


First Moscow State Medical University

Jan 2008 – Jun 2015 Russia
Specialization in Medicine and Public Health; graduated with honors (magna cum laude)

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