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Kelvin K. W. Yau
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2010 – 2019
- 2017
- [j14]Xin Lai, Kelvin K. W. Yau, Liu Liu:
Competing risk model with bivariate random effects for clustered survival data. Comput. Stat. Data Anal. 112: 215-223 (2017) - 2015
- [j13]Moon-tong Chan, Dalei Yu, Kelvin K. W. Yau:
Multilevel cumulative logistic regression model with random effects: Application to British social attitudes panel survey data. Comput. Stat. Data Anal. 88: 173-186 (2015) - 2013
- [j12]Dalei Yu, Xinyu Zhang, Kelvin K. W. Yau:
Information based model selection criteria for generalized linear mixed models with unknown variance component parameters. J. Multivar. Anal. 116: 245-262 (2013) - 2012
- [j11]Dalei Yu, Kelvin K. W. Yau:
Conditional Akaike information criterion for generalized linear mixed models. Comput. Stat. Data Anal. 56(3): 629-644 (2012) - [j10]Liming Xiang, Kelvin K. W. Yau, Andy H. Lee:
The robust estimation method for a finite mixture of Poisson mixed-effect models. Comput. Stat. Data Anal. 56(6): 1994-2005 (2012) - [c1]Dalei Yu, Kelvin K. W. Yau, Chang Ding:
Information Based Model Selection Criterion for Binary Response Generalized Linear Mixed Models. CSO 2012: 57-61 - 2010
- [j9]Geoffrey K. F. Tso, Kelvin K. W. Yau, Monique S. M. Cheung:
Latent constructs determining Internet job search behaviors: Motivation, opportunity and job change intention. Comput. Hum. Behav. 26(2): 122-131 (2010) - [j8]Xin Lai, Kelvin K. W. Yau:
Extending the long-term survivor mixture model with random effects for clustered survival data. Comput. Stat. Data Anal. 54(9): 2103-2112 (2010)
2000 – 2009
- 2009
- [j7]Andy H. Lee, Yun Zhao, Kelvin K. W. Yau, Shu-Kay Ng:
A computer graphical user interface for survival mixture modelling of recurrent infections. Comput. Biol. Medicine 39(3): 301-307 (2009) - 2007
- [j6]Kui Wang, Kelvin K. W. Yau, Andy H. Lee, Geoffrey J. McLachlan:
Multilevel survival modelling of recurrent urinary tract infections. Comput. Methods Programs Biomed. 87(3): 225-229 (2007) - [j5]Liming Xiang, Kelvin K. W. Yau, Siu-keung Tse, Andy H. Lee:
Influence diagnostics for random effect survival models: Application to a recurrent infection study for kidney patients on portable dialysis. Comput. Stat. Data Anal. 51(12): 5977-5993 (2007) - [j4]Kui Wang, Kelvin K. W. Yau, Andy H. Lee, Geoffrey J. McLachlan:
Two-component Poisson mixture regression modelling of count data with bivariate random effects. Math. Comput. Model. 46(11-12): 1468-1476 (2007) - 2004
- [j3]Kelvin K. W. Yau, Andy H. Lee, Philip J. W. Carrivick:
Modeling zero-inflated count series with application to occupational health. Comput. Methods Programs Biomed. 74(1): 47-52 (2004) - 2003
- [j2]Kelvin K. W. Yau, Andy H. Lee, Angus S. K. Ng:
Finite mixture regression model with random effects: application to neonatal hospital length of stay. Comput. Stat. Data Anal. 41(3-4): 359-366 (2003) - 2002
- [j1]Kui Wang, Kelvin K. W. Yau, Andy H. Lee:
A zero-inflated Poisson mixed model to analyze diagnosis related groups with majority of same-day hospital stays. Comput. Methods Programs Biomed. 68(3): 195-203 (2002)
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