Lynne J. Williams, Ph.D. - Publications

Affiliations: 
Psychology  Rotman Research Institite, Baycrest 
Area:
Cognitive Neuroscience

14 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2019 Rotem-Kohavi N, Williams LJ, Muller AM, Abdi H, Virji-Babul N, Bjornson BH, Brain U, Werker JF, Grunau RE, Miller SP, Oberlander TF. Hub distribution of the brain functional networks of newborns prenatally exposed to maternal depression and SSRI antidepressants. Depression and Anxiety. PMID 31066992 DOI: 10.1002/Da.22906  0.477
2013 White EJ, Hutka SA, Williams LJ, Moreno S. Learning, neural plasticity and sensitive periods: implications for language acquisition, music training and transfer across the lifespan. Frontiers in Systems Neuroscience. 7: 90. PMID 24312022 DOI: 10.3389/Fnsys.2013.00090  0.484
2013 Abdi H, Williams LJ. Partial least squares methods: partial least squares correlation and partial least square regression. Methods in Molecular Biology (Clifton, N.J.). 930: 549-79. PMID 23086857 DOI: 10.1007/978-1-62703-059-5_23  0.546
2013 Palombo DJ, Williams LJ, Abdi H, Levine B. The survey of autobiographical memory (SAM): a novel measure of trait mnemonics in everyday life. Cortex; a Journal Devoted to the Study of the Nervous System and Behavior. 49: 1526-40. PMID 23063319 DOI: 10.1016/J.Cortex.2012.08.023  0.483
2013 Abdi H, Williams LJ, Valentin D. Multiple factor analysis: Principal component analysis for multitable and multiblock data sets Wiley Interdisciplinary Reviews: Computational Statistics. 5: 149-179. DOI: 10.1002/Wics.1246  0.554
2012 Abdi H, Williams LJ, Beaton D, Posamentier MT, Harris TS, Krishnan A, Devous MD. Analysis of regional cerebral blood flow data to discriminate among Alzheimer's disease, frontotemporal dementia, and elderly controls: a multi-block barycentric discriminant analysis (MUBADA) methodology. Journal of Alzheimer's Disease : Jad. 31: S189-201. PMID 22785390 DOI: 10.3233/Jad-2012-112111  0.543
2012 Williams LJ, Dunlop JP, Abdi H. Effect of age on variability in the production of text-based global inferences. Plos One. 7: e36161. PMID 22590523 DOI: 10.1371/Journal.Pone.0036161  0.509
2012 Abdi H, Williams LJ, Connolly AC, Gobbini MI, Dunlop JP, Haxby JV. Multiple Subject Barycentric Discriminant Analysis (MUSUBADA): how to assign scans to categories without using spatial normalization. Computational and Mathematical Methods in Medicine. 2012: 634165. PMID 22548125 DOI: 10.1155/2012/634165  0.569
2012 Abdi H, Williams LJ, Valentin D, Bennani-Dosse M. STATIS and DISTATIS: Optimum multitable principal component analysis and three way metric multidimensional scaling Wiley Interdisciplinary Reviews: Computational Statistics. 4: 124-167. DOI: 10.1002/Wics.198  0.482
2011 Krishnan A, Williams LJ, McIntosh AR, Abdi H. Partial Least Squares (PLS) methods for neuroimaging: a tutorial and review. Neuroimage. 56: 455-75. PMID 20656037 DOI: 10.1016/J.Neuroimage.2010.07.034  0.531
2010 Williams LJ, Abdi H, French R, Orange JB. A tutorial on multiblock discriminant correspondence analysis (MUDICA): a new method for analyzing discourse data from clinical populations. Journal of Speech, Language, and Hearing Research : Jslhr. 53: 1372-93. PMID 20705748 DOI: 10.1044/1092-4388(2010/08-0141)  0.658
2010 Abdi H, Williams LJ. Principal component analysis Wiley Interdisciplinary Reviews: Computational Statistics. 2: 433-459. DOI: 10.1002/Wics.101  0.555
2009 Abdi H, Dunlop JP, Williams LJ. How to compute reliability estimates and display confidence and tolerance intervals for pattern classifiers using the Bootstrap and 3-way multidimensional scaling (DISTATIS). Neuroimage. 45: 89-95. PMID 19084072 DOI: 10.1016/J.Neuroimage.2008.11.008  0.525
2009 Devous M, Abdi H, Williams L, Posamentier M, Harris T. Barycentric Discriminant Analysis (BDA): a new pattern recognition classifier that identifies voxels and regions of interest relevant for classification of functional brain imaging data. Neuroimage. 47: S80. DOI: 10.1016/S1053-8119(09)70560-9  0.53
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