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Shu-Kay Ng

Showing results (1-10 of 106) with videos related to

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Artificial Intelligence in Medicine|July 17, 2007
Extension of mixture-of-experts networks for binary classification of hierarchical dataShu-Kay Ng, Geoffrey J McLachlan
IEEE Transactions on Neural Networks|September 24, 2004
Using the EM algorithm to train neural networks: misconceptions and a new algorithm for multiclass classificationShu-Kay Ng, Geoffrey John McLachlan
Australian Family Physician|December 8, 2011
Moving with the times - familiarity versus formality in Australian general practiceRomayne Moore, Michael Yelland, Shu-Kay Ng
Journal of Clinical Epidemiology|July 28, 2019
Identifying compliant participants through data matching improved estimation of intervention efficacy: randomized trials with opt-in/opt-out strategiesShu Kay Ng, Joshua Byrnes, Paul Scuffham
International Journal of Environmental Research and Public Health|December 1, 2020
Trading Health for Wealth: The Effect of COVID-19 Response StringencyMegan Cross, Shu-Kay Ng, Paul Scuffham
Statistics in Medicine|June 21, 2012
Identifying comorbidity patterns of health conditions via cluster analysis of pairwise concordance statisticsShu Kay Ng, Libby Holden, Jing Sun
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 McLachlan
Statistical 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 Ng
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 Ng
Maternal and Child Health Journal|March 16, 2016
Contactable Non-responders Show Different Characteristics Compared to Lost to Follow-Up Participants: Insights from an Australian Longitudinal Birth Cohort StudyShu-Kay Ng, Rani Scott, Paul A Scuffham
Pageof 11

Showing results (1-10 of 106) with videos related to

Sort By:
Pageof 11
Artificial Intelligence in Medicine|July 17, 2007
Extension of mixture-of-experts networks for binary classification of hierarchical dataShu-Kay Ng, Geoffrey J McLachlan
IEEE Transactions on Neural Networks|September 24, 2004
Using the EM algorithm to train neural networks: misconceptions and a new algorithm for multiclass classificationShu-Kay Ng, Geoffrey John McLachlan
Australian Family Physician|December 8, 2011
Moving with the times - familiarity versus formality in Australian general practiceRomayne Moore, Michael Yelland, Shu-Kay Ng
Journal of Clinical Epidemiology|July 28, 2019
Identifying compliant participants through data matching improved estimation of intervention efficacy: randomized trials with opt-in/opt-out strategiesShu Kay Ng, Joshua Byrnes, Paul Scuffham
International Journal of Environmental Research and Public Health|December 1, 2020
Trading Health for Wealth: The Effect of COVID-19 Response StringencyMegan Cross, Shu-Kay Ng, Paul Scuffham
Statistics in Medicine|June 21, 2012
Identifying comorbidity patterns of health conditions via cluster analysis of pairwise concordance statisticsShu Kay Ng, Libby Holden, Jing Sun
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 McLachlan
Statistical 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 Ng
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 Ng
Maternal and Child Health Journal|March 16, 2016
Contactable Non-responders Show Different Characteristics Compared to Lost to Follow-Up Participants: Insights from an Australian Longitudinal Birth Cohort StudyShu-Kay Ng, Rani Scott, Paul A Scuffham
Pageof 11