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Ewan Carr

Dr Ewan Carr PhD

Senior Lecturer in Biostatistics, Biostatistics & Health Informatics

Biography

Dr Ewan Carr is a Senior Lecturer in Biostatistics, Biostatistics & Health Informatics at the Institute of Psychiatry, Psychology & Neuroscience at King's College London.

Prior to this role, Ewan Carr was based in Epidemiology and Public Health Department at University College London. He holds a MSc in Social Research Methods and Statistics and a PhD in Social Statistics from Cathie Marsh Institute for Social Research, University of Manchester.

Dr Carr's research interests are in applying novel statistical techniques to longitudinal and routine clinical datasets to better understand heterogeneous treatment effects and to unpick interactions between mental and physical health. Currently, he work on projects related to the Maudsley Biomedical Research Centre theme of “Bioinformatics and Statistics”. This involves a wide range of analytical methods, including latent variable techniques (CFA, LCA), multilevel modelling, time series SEM, survival analysis, and more recently, machine learning and topological data analysis.

Dr Carr is a keen user of R and Python, and have many years of experience with Mplus and Stata. He has taught on a wide range of statistical techniques. At present, Dr Carr lectures on courses in R, ‘Statistical Programming’, ‘Statistical Modelling’, ‘Research methods for multilevel data’ and support delivery of other modules within the department. 

Research Interests

  • Mediation and moderation
  • Prediction modelling
  • Latent variable modelling
  • Multilevel modelling

Teaching

  • Introduction to R (Short course) 
  • Introduction to Statistical Programming (PG Cert) 
  • Introduction to Statistical Modelling 

    Research

    People walking
    Mental Health & Neuroscience Clinical Trial Statistics Group

    The Mental Health & Neuroscience Clinical Trial Statistics Group leads on the design, conduct and reporting of clinical trials in mental health.

    le_thumb
    Lifecourse Epidemiology

    The lifecourse epidemiology group researches developmental change, especially in childhood and adolescence. We specialise in methodology for longitudinal data including structural equation modelling.

    ART-Transition (1)
    ART-transition - ADHD Remote Technology and ADHD transition: predicting and preventing negative outcomes

    ADHD Remote Technology and ADHD transition: predicting and preventing negative outcomes (ART-transition) is a five-year MRC-funded research programme.

    Project status: Ongoing

    ART-Transition (1)
    ART-transition - ADHD Remote Technology and ADHD transition: predicting and preventing negative outcomes

    ADHD Remote Technology and ADHD transition: predicting and preventing negative outcomes (ART-transition) is a five-year MRC-funded research programme.

    Project status: Ongoing

    News

    Self-harm and digital technology overuse in young people with lived mental health experience

    New research from the Institute of Psychiatry, Psychology & Neuroscience (IoPPN) at King’s College London, in partnership with YoungMinds – the UK’s leading...

    Phone call

    £4.8 million Wellcome funding to predict outcomes following anxiety treatment

    Wellcome has awarded over £4.8m for researchers to predict individual outcomes following psychological treatments for anxiety, and to identify genetic and...

    therapy two people

    £2.5m funding to study transition to adulthood for individuals with ADHD

    The Medical Research Council (MRC) has awarded £2.5 million funding to principal investigator, Professor Jonna Kuntsi, and team to use remote technology to...

    ART Transition

    Healthcare workers in England experience PTSD at twice the rate of the general public

    New research led by the Institute of Psychiatry, Psychology & Neuroscience (IoPPN) at King’s College London in collaboration with the NIHR ARC North Thames at...

    ICU Nurse

    Depression and anxiety are associated with disagreement between patient and doctor assessments of psoriasis severity

    Researchers from St John’s Institute of Dermatology and the Institute of Psychiatry, Psychology & Neuroscience, King’s College London found a disagreement in...

    Illustration of a woman itching psoriasis on her arm

    NEWS2 evaluated for prediction of severe COVID-19 outcome in large international study

    In the first systematic large-scale evaluation of the UK National Early Warning Risk Score (NEWS) 2 as a scoring system for predicting severe COVID-19...

    ICU worker in PPE looking at a monitor

    Events

    17May

    IoPPN Research Festival 2023 - 10th Edition - Looking back to look forward

    Please join us on 17 May 2023 to celebrate the innovative and exciting research taking place at the Institute of Psychiatry, Psychology & Neuroscience at...

    Please note: this event has passed.

      Research

      People walking
      Mental Health & Neuroscience Clinical Trial Statistics Group

      The Mental Health & Neuroscience Clinical Trial Statistics Group leads on the design, conduct and reporting of clinical trials in mental health.

      le_thumb
      Lifecourse Epidemiology

      The lifecourse epidemiology group researches developmental change, especially in childhood and adolescence. We specialise in methodology for longitudinal data including structural equation modelling.

      ART-Transition (1)
      ART-transition - ADHD Remote Technology and ADHD transition: predicting and preventing negative outcomes

      ADHD Remote Technology and ADHD transition: predicting and preventing negative outcomes (ART-transition) is a five-year MRC-funded research programme.

      Project status: Ongoing

      ART-Transition (1)
      ART-transition - ADHD Remote Technology and ADHD transition: predicting and preventing negative outcomes

      ADHD Remote Technology and ADHD transition: predicting and preventing negative outcomes (ART-transition) is a five-year MRC-funded research programme.

      Project status: Ongoing

      News

      Self-harm and digital technology overuse in young people with lived mental health experience

      New research from the Institute of Psychiatry, Psychology & Neuroscience (IoPPN) at King’s College London, in partnership with YoungMinds – the UK’s leading...

      Phone call

      £4.8 million Wellcome funding to predict outcomes following anxiety treatment

      Wellcome has awarded over £4.8m for researchers to predict individual outcomes following psychological treatments for anxiety, and to identify genetic and...

      therapy two people

      £2.5m funding to study transition to adulthood for individuals with ADHD

      The Medical Research Council (MRC) has awarded £2.5 million funding to principal investigator, Professor Jonna Kuntsi, and team to use remote technology to...

      ART Transition

      Healthcare workers in England experience PTSD at twice the rate of the general public

      New research led by the Institute of Psychiatry, Psychology & Neuroscience (IoPPN) at King’s College London in collaboration with the NIHR ARC North Thames at...

      ICU Nurse

      Depression and anxiety are associated with disagreement between patient and doctor assessments of psoriasis severity

      Researchers from St John’s Institute of Dermatology and the Institute of Psychiatry, Psychology & Neuroscience, King’s College London found a disagreement in...

      Illustration of a woman itching psoriasis on her arm

      NEWS2 evaluated for prediction of severe COVID-19 outcome in large international study

      In the first systematic large-scale evaluation of the UK National Early Warning Risk Score (NEWS) 2 as a scoring system for predicting severe COVID-19...

      ICU worker in PPE looking at a monitor

      Events

      17May

      IoPPN Research Festival 2023 - 10th Edition - Looking back to look forward

      Please join us on 17 May 2023 to celebrate the innovative and exciting research taking place at the Institute of Psychiatry, Psychology & Neuroscience at...

      Please note: this event has passed.