Kelvin K. W. Yau

According to our database1, Kelvin K. W. Yau authored at least 15 papers between 2002 and 2017.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2017
Competing risk model with bivariate random effects for clustered survival data.
Comput. Stat. Data Anal., 2017

2015
Multilevel cumulative logistic regression model with random effects: Application to British social attitudes panel survey data.
Comput. Stat. Data Anal., 2015

2013
Information based model selection criteria for generalized linear mixed models with unknown variance component parameters.
J. Multivar. Anal., 2013

2012
Conditional Akaike information criterion for generalized linear mixed models.
Comput. Stat. Data Anal., 2012

The robust estimation method for a finite mixture of Poisson mixed-effect models.
Comput. Stat. Data Anal., 2012

Information Based Model Selection Criterion for Binary Response Generalized Linear Mixed Models.
Proceedings of the Fifth International Joint Conference on Computational Sciences and Optimization, 2012

2010
Extending the long-term survivor mixture model with random effects for clustered survival data.
Comput. Stat. Data Anal., 2010

Latent constructs determining Internet job search behaviors: Motivation, opportunity and job change intention.
Comput. Hum. Behav., 2010

2009
A computer graphical user interface for survival mixture modelling of recurrent infections.
Comput. Biol. Medicine, 2009

2007
Two-component Poisson mixture regression modelling of count data with bivariate random effects.
Math. Comput. Model., 2007

Influence diagnostics for random effect survival models: Application to a recurrent infection study for kidney patients on portable dialysis.
Comput. Stat. Data Anal., 2007

Multilevel survival modelling of recurrent urinary tract infections.
Comput. Methods Programs Biomed., 2007

2004
Modeling zero-inflated count series with application to occupational health.
Comput. Methods Programs Biomed., 2004

2003
Finite mixture regression model with random effects: application to neonatal hospital length of stay.
Comput. Stat. Data Anal., 2003

2002
A zero-inflated Poisson mixed model to analyze diagnosis related groups with majority of same-day hospital stays.
Comput. Methods Programs Biomed., 2002


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