Items where Author is "Bartlett, JW"
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Number of items: 16.
2018
Barnes, J;
Bartlett, JW;
Wolk, DA;
van der Flier, WM;
Frost, C;
(2018)
Disease Course Varies According to Age and Symptom Length in Alzheimer's Disease.
Journal of Alzheimer's disease.
ISSN 1387-2877
DOI: https://doi.org/10.3233/JAD-170841
Item availability may be restricted.
2017
Hossain, A;
DiazOrdaz, K;
Bartlett, JW;
(2017)
Missing binary outcomes under covariate-dependent missingness in cluster randomised trials.
Statistics in medicine.
ISSN 0277-6715
DOI: https://doi.org/10.1002/sim.7334
2016
Bartlett, JW;
Keogh, RH;
(2016)
Bayesian correction for covariate measurement error: A frequentist evaluation and comparison with regression calibration.
Statistical methods in medical research.
ISSN 0962-2802
DOI: https://doi.org/10.1177/0962280216667764
Bartlett, JW;
Taylor, JM;
(2016)
Missing covariates in competing risks analysis.
Biostatistics (Oxford, England).
ISSN 1465-4644
DOI: https://doi.org/10.1093/biostatistics/kxw019
2015
Bartlett, JW;
Carpenter, JR;
Tilling, K;
Vansteelandt, S;
(2015)
Corrigendum: Improving upon the efficiency of complete case analysis when covariates are MNAR (10.1093/biostatistics/kxu023).
Biostatistics (Oxford, England), 16 (1).
p. 205.
ISSN 1465-4644
DOI: https://doi.org/10.1093/biostatistics/kxu051
Bartlett, JW;
Harel, O;
Carpenter, JR;
(2015)
Asymptotically unbiased estimation of exposure odds ratios in complete records logistic regression.
American journal of epidemiology, 182 (8).
pp. 730-6.
ISSN 0002-9262
DOI: https://doi.org/10.1093/aje/kwv114
2014
Bartlett, JW;
Carpenter, JR;
Tilling, K;
Vansteelandt, S;
(2014)
Improving upon the efficiency of complete case analysis when covariates are MNAR.
Biostatistics (Oxford, England), 15 (4).
pp. 719-30.
ISSN 1465-4644
DOI: https://doi.org/10.1093/biostatistics/kxu023
Bartlett, JW;
Seaman, SR;
White, IR;
Carpenter, JR;
Alzheimer's Disease Neuroimaging Initiative*;
(2014)
Multiple imputation of covariates by fully conditional specification: Accommodating the substantive model.
Statistical methods in medical research, 24 (4).
pp. 462-87.
ISSN 0962-2802
DOI: https://doi.org/10.1177/0962280214521348
Macdonald, KE;
Leung, KK;
Bartlett, JW;
Blair, M;
Malone, IB;
Barnes, J;
Ourselin, S;
Fox, NC;
for the Alzheimer’s Disease Neuroimaging Initiative;
(2014)
Automated Template-Based Hippocampal Segmentations from MRI: The Effects of 1.5T or 3T Field Strength on Accuracy.
Neuroinformatics.
ISSN 1539-2791
DOI: https://doi.org/10.1007/s12021-013-9217-y
Manning, EN;
Barnes, J;
Cash, DM;
Bartlett, JW;
Leung, KK;
Ourselin, S;
Nick C. Fox1 for the Alzheimer's Disease NeuroImaging Initiative;
(2014)
APOE ε4 Is Associated with Disproportionate Progressive Hippocampal Atrophy in AD.
PloS one, 9 (5).
e97608.
ISSN 1932-6203
DOI: https://doi.org/10.1371/journal.pone.0097608
Nicholas, J;
Meade, T;
Fiford, C;
Manning, EN;
Carmichael, O;
Biessels, GJ;
Bartlett, JW;
Fox, NC;
Frost, C;
Barnes, J;
(2014)
AAIC abstract: Impact of baseline adjustment for vascular risk factors on sample size for atrophy outcomes in Alzheimer's disease clinical trials.
[Conference or Workshop Item]
http://researchonline.lshtm.ac.uk/id/eprint/1918143
Full text not available from this repository.
Paterson, RW;
Bartlett, JW;
Blennow, K;
Fox, NC;
Alzheimer's Disease Neuroimaging Initiative;
Shaw, LM;
Trojanowski, JQ;
Zetterberg, H;
Schott, JM;
(2014)
Cerebrospinal fluid markers including trefoil factor 3 are associated with neurodegeneration in amyloid-positive individuals.
Translational psychiatry, 4.
e419.
ISSN 2158-3188
DOI: https://doi.org/10.1038/tp.2014.58
Shah, AD;
Bartlett, JW;
Carpenter, J;
Nicholas, O;
Hemingway, H;
(2014)
Comparison of random forest and parametric imputation models for imputing missing data using MICE: a CALIBER study.
American journal of epidemiology, 179 (6).
pp. 764-74.
ISSN 0002-9262
DOI: https://doi.org/10.1093/aje/kwt312
Skillbäck, T;
Farahmand, B;
Bartlett, JW;
Rosén, C;
Mattsson, N;
Nägga, K;
Kilander, L;
Religa, D;
Wimo, A;
Winblad, B;
+5 more...
Rosengren, L;
Schott, JM;
Blennow, K;
Eriksdotter, M;
Zetterberg, H;
(2014)
CSF neurofilament light differs in neurodegenerative diseases and predicts severity and survival.
Neurology.
ISSN 0028-3878
DOI: https://doi.org/10.1212/WNL.0000000000001015
Full text not available from this repository.
Welch, C;
Bartlett, J;
Petersen, I;
(2014)
Application of multiple imputation using the two-fold fully conditional specification algorithm in longitudinal clinical data.
The Stata journal, 14 (2).
pp. 418-431.
ISSN 1536-867X
http://researchonline.lshtm.ac.uk/id/eprint/2030950
Full text not available from this repository.
Welch, CA;
Petersen, I;
Bartlett, JW;
White, IR;
Marston, L;
Morris, RW;
Nazareth, I;
Walters, K;
Carpenter, J;
(2014)
Evaluation of two-fold fully conditional specification multiple imputation for longitudinal electronic health record data.
Statistics in medicine, 33 (21).
pp. 3725-37.
ISSN 0277-6715
DOI: https://doi.org/10.1002/sim.6184
Full text not available from this repository.