Showing results (1-10 of 22) with videos related to
Sort By:
Pageof 3
Statistics in Medicine|October 19, 2016
A joint modelling approach for multistate processes subject to resolution and under intermittent observationsSean Yiu, Brian TomProceedings of Machine Learning Research|April 25, 2022
Neural Survival Clustering: Non-parametric mixture of neural networks for survival clusteringVincent Jeanselme, Brian Tom, Jessica BarrettProceedings of Machine Learning Research|January 5, 2023
Imputation Strategies Under Clinical Presence: Impact on Algorithmic FairnessVincent Jeanselme, Maria De-Arteaga, Zhe Zhang, et al.BMJ Open|February 21, 2019
European Prevention of Alzheimer's Dementia Longitudinal Cohort Study (EPAD LCS): study protocolAlina Solomon, Miia Kivipelto, José Luis Molinuevo, et al.Science Advances|May 31, 2024
Exploring the Big Data Paradox for various estimands using vaccination data from the global COVID-19 Trends and Impact Survey (CTIS)Youqi Yang, Walter Dempsey, Peisong Han, et al.Current Biology : CB|March 19, 2004
First cleavage of the mouse embryo responds to change in egg shape at fertilizationDionne Gray, Berenika Plusa, Karolina Piotrowska, et al.Current Biology : CB|February 28, 2012
Klp10A, a microtubule-depolymerizing kinesin-13, cooperates with CP110 to control Drosophila centriole lengthNathalie Delgehyr, Hélène Rangone, Jingyan Fu, et al.Journal of Personality Disorders|April 6, 2004
Differential effects of manual assisted cognitive behavior therapy in the treatment of recurrent deliberate self-harm and personality disturbance: the POPMACT studyPeter Tyrer, Brian Tom, Sarah Byford, et al.The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|December 20, 2003
fMRI of the conscious rabbit during unilateral classical eyeblink conditioning reveals bilateral cerebellar activationMichael J Miller, Nan-kuei Chen, Limin Li, et al.Journal of the American Medical Informatics Association : JAMIA|November 9, 2020
Informative presence and observation in routine health data: A review of methodology for clinical risk predictionRose Sisk, Lijing Lin, Matthew Sperrin, et al.Pageof 3