Isobel Ridler- PhD
- Research Fellow at University College London
Isobel Ridler
- PhD
- Research Fellow at University College London
Currently working as a postdoctoral researcher investigating the underlying mechanisms of changes in mood and emotion
About
8
Publications
2,806
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112
Citations
Introduction
Isobel Ridler recently completed her PhD in the Department of Biostatistics and Health Informatics, at the Institute of Psychiatry, Psychology and Neuroscience, KCL, where she investigated the application of regularised structural equation modelling to behavioural genetics and psychometrics. Her research interests are psychology, psychiatry, statistical modelling, and bioinformatics.
Current institution
Additional affiliations
October 2018 - October 2021
Education
September 2016 - September 2017
Publications
Publications (8)
Reporting of effect sizes is standard practice in psychology and psychiatry research. However, interpretation of these effect sizes can be meaningless or misleading – in particular, the evaluation of specific effect sizes as ‘small’, ‘medium’ and ‘large’ can be inaccurate depending on the research context. A real‐world example of this is research i...
Reporting of effect sizes is standard practice in psychology and psychiatry research. However, interpretation of these effect sizes can be meaningless or misleading – in particular, the evaluation of specific effect sizes as “small”, “medium” and “large” can be inaccurate depending on the research context. A real-world example of this is research i...
Background
There is evidence of heterogeneity within treatment-resistant schizophrenia (TRS), with some people not responding to antipsychotic treatment from illness onset and others becoming treatment-resistant after an initial response period. These groups may have different aetiologies.
Aim
This study investigates sociodemographic and clinical...
Objectives
To develop a prognostic tool of treatment resistant schizophrenia (TRS) in a large and diverse clinical cohort, with comprehensive coverage of patients using mental health services in four London boroughs.
Methods
We used the Least Absolute Shrinkage and Selection Operator (LASSO) for time-to-event data, to develop a risk prediction mod...
Introduction
There is emerging evidence of heterogeneity within treatment-resistance schizophrenia (TRS), with some people not responding to antipsychotic treatment from illness onset and a smaller group becoming treatment-resistant after an initial response period. It has been suggested that these groups have different aetiologies. Few studies hav...
Background
A proportion of people with treatment-resistant schizophrenia fail to show improvement on clozapine treatment. Knowledge of the sociodemographic and clinical factors predicting clozapine response may be useful in developing personalised approaches to treatment.
Methods
This retrospective cohort study used data from the electronic health...
