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Ewan Carr

Dr Ewan Carr PhD

Statistician Research Fellow

Biography

I joined King’s College London’s Department of Biostatistics and Health Informatics in 2017. Prior to this role Ewan Carr was based in Epidemiology and Public Health Department at University College London. I hold a MSc in Social Research Methods and Statistics and a PhD in Social Statistics from Cathie Marsh Institute for Social Research, University of Manchester. My 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, I work on projects related to the Maudsley Biomedical Research Centre (BRC) 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. I am a keen user of R and Python, and have many years of experience with Mplus and Stata. I have taught on a wide range of statistical techniques. At present, I lecture 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 

 

Pure Profile

Ewan Carr

Research

kings-flag-main.x5e3e9530
The Mental Health & Neuroscience Clinical Trial Statistics

The Mental Health & Neuroscience Clinical Trial Statistics Group at King's College London

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

News

£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

17MayResearch Festival

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

kings-flag-main.x5e3e9530
The Mental Health & Neuroscience Clinical Trial Statistics

The Mental Health & Neuroscience Clinical Trial Statistics Group at King's College London

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

News

£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

17MayResearch Festival

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.