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BMC Bioinformatics|November 16, 2012
Clustering of time-course gene expression profiles using normal mixture models with autoregressive random effectsKui Wang, Shu Kay Ng, Geoffrey J McLachlanArtificial Intelligence in Medicine|July 17, 2007
Extension of mixture-of-experts networks for binary classification of hierarchical dataShu-Kay Ng, Geoffrey J McLachlanBiometrical Journal. Biometrische Zeitschrift|August 28, 2007
Maternity length of stay modelling by gamma mixture regression with random effectsAndy H Lee, Kui Wang, Kelvin K W Yau, et al.Biostatistics (Oxford, England)|June 26, 2014
Inference on differences between classes using cluster-specific contrasts of mixed effectsShu Kay Ng, Geoffrey J McLachlan, Kui Wang, et al.Biometrics|December 22, 2019
A bivariate joint frailty model with mixture framework for survival analysis of recurrent events with dependent censoring and cure fractionRichard Tawiah, Geoffrey J McLachlan, Shu Kay NgStatistical Methods in Medical Research|July 12, 2019
Mixture cure models with time-varying and multilevel frailties for recurrent event dataRichard Tawiah, Geoffrey J McLachlan, Shu Kay NgArtificial Intelligence in Medicine|October 11, 2005
An incremental EM-based learning approach for on-line prediction of hospital resource utilizationShu-Kay Ng, Geoffrey J McLachlan, Andy H LeeMethods in Molecular Biology (Clifton, N.J.)|August 21, 2008
ClusteringGeoffrey J McLachlan, Richard W Bean, Shu-Kay NgBiostatistics (Oxford, England)|November 9, 2021
Joint frailty modeling of time-to-event data to elicit the evolution pathway of events: a generalized linear mixed model approachShu Kay Ng, Richard Tawiah, Geoffrey J Mclachlan, et al.Statistics in Medicine|November 27, 2018
Multilevel model with random effects for clustered survival data with multiple failure outcomesRichard Tawiah, Kelvin K W Yau, Geoffrey J McLachlan, et al.Pageof 142