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Lee, Andy H., Wang, Kui, Yau, Kelvin K. W., McLachlan, Geoffrey J., Ng, Shu Kay (2007) Maternity Length of Stay Modelling by Gamma Mixture Regression with Random Effects. Biometrical Journal, 49 (5). 750-764 doi:10.1002/bimj.200610371

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Reference TypeJournal (article/letter/editorial)
TitleMaternity Length of Stay Modelling by Gamma Mixture Regression with Random Effects
JournalBiometrical Journal
AuthorsLee, Andy H.Author
Wang, KuiAuthor
Yau, Kelvin K. W.Author
McLachlan, Geoffrey J.Author
Ng, Shu KayAuthor
Year2007 (October)Volume49
Issue5
PublisherWiley
DOIdoi:10.1002/bimj.200610371Search in ResearchGate
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Mindat Ref. ID9296871Long-form Identifiermindat:1:5:9296871:2
GUID0
Full ReferenceLee, Andy H., Wang, Kui, Yau, Kelvin K. W., McLachlan, Geoffrey J., Ng, Shu Kay (2007) Maternity Length of Stay Modelling by Gamma Mixture Regression with Random Effects. Biometrical Journal, 49 (5). 750-764 doi:10.1002/bimj.200610371
Plain TextLee, Andy H., Wang, Kui, Yau, Kelvin K. W., McLachlan, Geoffrey J., Ng, Shu Kay (2007) Maternity Length of Stay Modelling by Gamma Mixture Regression with Random Effects. Biometrical Journal, 49 (5). 750-764 doi:10.1002/bimj.200610371
In(2007, October) Biometrical Journal Vol. 49 (5) Wiley

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Wang, Kui, Yau, Kelvin K.W., Lee, Andy H., McLachlan, Geoffrey J. (2007) Two-component Poisson mixture regression modelling of count data with bivariate random effects. Mathematical and Computer Modelling, 46. 1468-1476 doi:10.1016/j.mcm.2007.02.003
Yau, Kelvin K.W., Lee, Andy H., Ng, Angus S.K. (2003) Finite mixture regression model with random effects: application to neonatal hospital length of stay. Computational Statistics & Data Analysis, 41 (3). 359-366 doi:10.1016/s0167-9473(02)00180-9
Yau, Kelvin K. W., Wang, Kui, Lee, Andy H. (2003) Zero-Inflated Negative Binomial Mixed Regression Modeling of Over-Dispersed Count Data with Extra Zeros. Biometrical Journal, 45 (4). 437-452 doi:10.1002/bimj.200390024
Lai, Xin, Yau, Kelvin K. W. (2009) Multilevel Mixture Cure Models with Random Effects. Biometrical Journal, 51 (3). 456-466 doi:10.1002/bimj.200800222
Ng, S.K., Yau, K.K.W., Lee, A.H. (2003) Modelling inpatient length of stay by a hierarchical mixture regression via the EM algorithm. Mathematical and Computer Modelling, 37. 365-375 doi:10.1016/s0895-7177(03)00012-8
Ng, Shu-Kay, Tawiah, Richard, McLachlan, Geoffrey J. (2019) Unsupervised pattern recognition of mixed data structures with numerical and categorical features using a mixture regression modelling framework. Pattern Recognition, 88. 261-271 doi:10.1016/j.patcog.2018.11.022
Xiang, Liming, Yau, Kelvin K. W., Van Hui, Yer, Lee, Andy H. (2008) Minimum Hellinger Distance Estimation for k-Component Poisson Mixture with Random Effects. Biometrics, 64 (2). 508-518 doi:10.1111/j.1541-0420.2007.00920.x
Lee, Andy H., Wang, Kui, Yau, Kelvin K.W. (2001) Analysis of Zero-Inflated Poisson Data Incorporating Extent of Exposure. Biometrical Journal, 43 (8). 963pp. doi:10.1002/1521-4036(200112)43:8<963::aid-bimj963>3.0.co;2-k
Müller, Christine (2007) Book Review: Generalized Linear Models with Random Effects Unified Analysis via H-likelihood. By Y. Lee, J. A. Nelder, Y. Pawitan. Biometrical Journal, 49 (6). 966 doi:10.1002/bimj.200710367
Zhao, Yun, Lee, Andy H., Yau, Kelvin K.W., McLachlan, Geoffrey J. (2011) Assessing the adequacy of Weibull survival models: a simulated envelope approach. Journal of Applied Statistics, 38 (10). 2089-2097 doi:10.1080/02664763.2010.545115
Nehmiz, Gerhard (2007) Book Review: Statistical Concepts and Applications in Clinical Medicine. By J. Aitchison, J. W. Kay, and I. J. Lauder. Biometrical Journal, 49 (5). 790 doi:10.1002/bimj.200710354
 
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