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Anca Chis Ster

Anca Chis Ster

PhD student

Biography

Anca joined King’s College London in October 2020 as a Biostatistics and Health Informatics PhD student. She previously studied at King’s College London (2014–2017) for her BSc in Mathematics after which she completed her MSc in Medical Statistics from the London School of Hygiene and Tropical Medicine (2017–2018).

After Anca's education, she joined the Clinical Trials Unit at Imperial College London as an NIHR Pre-Doctoral Fellow. Here, she undertook a systematic review to evaluate current practice to adjust for rescue medication in Randomised Controlled Trials in asthma and eczema populations which is now currently published in the Journal of Clinical Epidemiology. Anca was also a Statistics Teaching Fellow on the Global Master's in Public Health at Imperial College London. Here, she assisted with the design, development and delivery for the Statistics in Public Health and Advanced Statistics and Data Science courses.

Anca's PhD project will review and provide a comprehensive approach for the statistical analysis of post-randomisation variables, including non-compliance, mediation analysis, surrogate outcomes, missing data and clustering effects in clinical trials of psychological treatments in psychosis.

Research interests

  • Post-randomisation variables
  • Non-compliance
  • Missing data
  • Surrogate outcomes
  • Mediation analysis
  • Clustering effects
  • Mental health

Publications

Research

trials-methodology-research-group-cropped-1903x558
Trials Methodology Research Group

The Trials Methodology Research Group is focussed on improving the design, conduct and analysis of clinical trials for the benefit of participants, researchers, and others who use the evidence to make decisions about healthcare.

Research

trials-methodology-research-group-cropped-1903x558
Trials Methodology Research Group

The Trials Methodology Research Group is focussed on improving the design, conduct and analysis of clinical trials for the benefit of participants, researchers, and others who use the evidence to make decisions about healthcare.