Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

Publications

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

Yeh T-S. et al, (2023), Alzheimers Res Ther, 15

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

Parsons RE. et al, (2023), Heart

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

Liu X. et al, (2023), Sci Rep, 13

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

Liu X. et al, (2023), J Endocr Soc, 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

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

Clifton L. et al, (2022), Sci Rep, 12

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

Parsons RE. et al, (2022)

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

Littlejohns TJ. et al, (2022), Alzheimers Dement

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), Front Genet, 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)

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, (2021), Eur J Prev Cardiol

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

Stevenson JS. et al, (2021), Alzheimers Dement

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), Int J Hypertens, 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), Contemp Clin Trials Commun, 13

Load More

Include forthcoming?