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Publications

Kidney function, albuminuria, and their modification by genetic factors and risk of incident dementia in UK Biobank.

Yeh T-S. et al, (2023), Alzheimer's research & therapy, 15

Independent external validation of the QRISK3 cardiovascular disease risk prediction model using UK Biobank.

Parsons RE. et al, (2023), Heart (British Cardiac Society)

Combining machine learning with Cox models to identify predictors for incident post-menopausal breast cancer in the UK Biobank.

Liu X. et al, (2023), Scientific reports, 13

Polygenic Risk of Prediabetes, Undiagnosed Diabetes, and Incident Type 2 Diabetes Stratified by Diabetes Risk Factors.

Liu X. et al, (2023), Journal of the Endocrine Society, 7

Incidence of fractures in people with intellectual disabilities over the life course: a retrospective matched cohort study.

Frighi V. et al, (2022), EClinicalMedicine, 52

An independent external validation of the QRISK3 cardiovascular risk prediction model applied to UK Biobank participants

Parsons RE. et al, (2022)

Assessing agreement between different polygenic risk scores in the UK Biobank.

Clifton L. et al, (2022), Scientific reports, 12

Are polygenic risk scores for systolic blood pressure and LDL-cholesterol associated with treatment effectiveness, and clinical outcomes among those on treatment?

Tapela NM. et al, (2022), European journal of preventive cardiology, 29, 925 - 937

Hypertension, a dementia polygenic risk score, APOE genotype, and incident dementia.

Littlejohns TJ. et al, (2022), Alzheimer's & dementia : the journal of the Alzheimer's Association

Speech-in-noise hearing impairment is associated with an increased risk of incident dementia in 82,039 UK Biobank participants.

Stevenson JS. et al, (2022), Alzheimer's & dementia : the journal of the Alzheimer's Association, 18, 445 - 456

Assessing agreement between different polygenic risk scores in the UK Biobank

Clifton L. et al, (2022)

Calculating Polygenic Risk Scores (PRS) in UK Biobank: A Practical Guide for Epidemiologists.

Collister JA. et al, (2022), Frontiers in genetics, 13

Clinical Prediction Models in Epidemiological Studies: Lessons from the Application of QRISK3 to UK Biobank Data

Parsons RE. et al, (2022), Journal of Data Science, 1 - 13

Combining Machine Learning with Cox models for identifying risk factors for incident post-menopausal breast cancer in the UK Biobank

Liu X. et al, (2022)

Prevalence and determinants of hypertension control among almost 100 000 treated adults in the UK.

Tapela N. et al, (2021), Open heart, 8

Early detection of physiological deterioration in post-surgical patients using wearable technology combined with an integrated monitoring system: a pre- and post-interventional study

Watkinson P. et al, (2020)

Prevalence and Determinants of Hypertension Awareness, Treatment, and Control in Botswana: A Nationally Representative Population-Based Survey.

Tapela NM. et al, (2020), International journal of hypertension, 2020

Early warning score adjusted for age to predict the composite outcome of mortality, cardiac arrest or unplanned intensive care unit admission using observational vital-sign data: a multicentre development and validation.

Shamout F. et al, (2019), BMJ open, 9

How to maintain the maximal level of blinding in randomisation for a placebo-controlled drug trial.

Clifton L. and Clifton DA., (2019), Contemporary clinical trials communications, 14

Comparing different ways of calculating sample size for two independent means: A worked example.

Clifton L. et al, (2019), Contemporary clinical trials communications, 13

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