User profiles for J. W. Bartlett
Jonathan W BartlettProfessor in Medical Statistics, Department of Medical Statistics, London School of Hygiene Verified email at lshtm.ac.uk Cited by 9341 |
A meta-analysis of hippocampal atrophy rates in Alzheimer's disease
J Barnes, JW Bartlett, LA van de Pol, CT Loy… - Neurobiology of …, 2009 - Elsevier
Hippocampal atrophy rates are useful in both diagnosing and tracking Alzheimer's disease (AD).
However, cohorts and methods used to determine such rates are heterogeneous, …
However, cohorts and methods used to determine such rates are heterogeneous, …
[BOOK][B] Multiple imputation and its application
… BARTLETT is a Professor of Medical Statistics at the London School of Hygiene & Tropical
Medicine, UK. TIM P. MORRIS is Principal Research Fellow in Medical Statistics at the MRC …
Medicine, UK. TIM P. MORRIS is Principal Research Fellow in Medical Statistics at the MRC …
[PDF][PDF] Reliability, repeatability and reproducibility: analysis of measurement errors in continuous variables
JW Bartlett, C Frost - … in Obstetrics and Gynecology: The Official …, 2008 - researchgate.net
Clinical practice involves measuring quantities for a variety of purposes, such as aiding
diagnosis, predicting future patient outcomes, and serving as endpoints in studies or randomized …
diagnosis, predicting future patient outcomes, and serving as endpoints in studies or randomized …
Comparison of random forest and parametric imputation models for imputing missing data using MICE: a CALIBER study
AD Shah, JW Bartlett, J Carpenter… - American journal of …, 2014 - academic.oup.com
Multivariate imputation by chained equations (MICE) is commonly used for imputing missing
data in epidemiologic research. The “true” imputation model may contain nonlinearities …
data in epidemiologic research. The “true” imputation model may contain nonlinearities …
Multiple imputation of covariates by fully conditional specification: accommodating the substantive model
JW Bartlett, SR Seaman, IR White… - … methods in medical …, 2015 - journals.sagepub.com
Missing covariate data commonly occur in epidemiological and clinical research, and are
often dealt with using multiple imputation. Imputation of partially observed covariates is …
often dealt with using multiple imputation. Imputation of partially observed covariates is …
Tracking atrophy progression in familial Alzheimer's disease: a serial MRI study
BH Ridha, J Barnes, JW Bartlett, A Godbolt… - The Lancet …, 2006 - thelancet.com
Background Serial MRI scanning of autosomal dominant mutation carriers for Alzheimer's
disease provides an opportunity to track changes that could predate symptoms or clinical …
disease provides an opportunity to track changes that could predate symptoms or clinical …
Automated cross-sectional and longitudinal hippocampal volume measurement in mild cognitive impairment and Alzheimer's disease
Volume and change in volume of the hippocampus are both important markers of Alzheimer's
disease (AD). Delineation of the structure on MRI is time-consuming and therefore reliable …
disease (AD). Delineation of the structure on MRI is time-consuming and therefore reliable …
CSF neurofilament light differs in neurodegenerative diseases and predicts severity and survival
T Skillbäck, B Farahmand, JW Bartlett, C Rosén… - Neurology, 2014 - AAN Enterprises
Objectives: We hypothesized that CSF neurofilament light (NFL) levels would be elevated in
dementias with subcortical involvement, including vascular dementia (VaD), but less …
dementias with subcortical involvement, including vascular dementia (VaD), but less …
[HTML][HTML] Multiple imputation of missing covariates with non-linear effects and interactions: an evaluation of statistical methods
SR Seaman, JW Bartlett, IR White - BMC medical research methodology, 2012 - Springer
Background Multiple imputation is often used for missing data. When a model contains as
covariates more than one function of a variable, it is not obvious how best to impute missing …
covariates more than one function of a variable, it is not obvious how best to impute missing …
[HTML][HTML] The structural neuroanatomy of music emotion recognition: evidence from frontotemporal lobar degeneration
R Omar, SMD Henley, JW Bartlett, JC Hailstone… - Neuroimage, 2011 - Elsevier
Despite growing clinical and neurobiological interest in the brain mechanisms that process
emotion in music, these mechanisms remain incompletely understood. Patients with …
emotion in music, these mechanisms remain incompletely understood. Patients with …