Researcher

Miss Jess Lo

Fields of Research (FoR)

Biostatistics

Biography

Jess is a research associate at the Centre for Healthy Brain Ageing (CHeBA) within the School of Psychiatry. She is the Study Coordinator for the STROKOG consortium.

Jess is a biostatistician, with a MSc in Medical Statistics from the London School and Hygiene and Tropical Medicine in London. She previously worked as a medical statistician at King's College London on various clincal trials and observational studies.

Current project

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Jess is a research associate at the Centre for Healthy Brain Ageing (CHeBA) within the School of Psychiatry. She is the Study Coordinator for the STROKOG consortium.

Jess is a biostatistician, with a MSc in Medical Statistics from the London School and Hygiene and Tropical Medicine in London. She previously worked as a medical statistician at King's College London on various clincal trials and observational studies.

Current project

Profile and risk factors of post-stroke cognitive impairment in diverse geographical and ethno-racial groups: an individual participant data meta-analysis from the STROKOG consortium

Meet Our Researcher
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My Research Activities

Current research project: Profile and risk factors of post-stroke cognitive impairment in diverse geographical and ethno-racial groups: an individual participant data meta-analysis from the STROKOG consortium

Project description:

Differences in diagnostic criteria and populations have produced a wide range of prevalence estimates and inconsistencies in risk factors for post-stroke cognitive impairment. This study aims to address these using individual participant data (IPD) from diverse geographical and ethno-racial international cohorts from the STROKOG consortium. For this project we are harmonising data from 13 hospital based studies from Asia, Australia, Africa, Europe and USA. Neuropsychological test scores and appropriate normative data are used to calculate standardised cognitive domain scores, with percentile cut-offs from normative groups used to define impairment. Linear mixed models in a one-stage IPD meta-analysis are used to examine associations between cognitive domain scores and potential risk factors, adjusting for sex, age and education.

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