Generalised Linear Mixed Models: Theory, Methods and New Areas of Application

Project Member(s): Wand, M.

Funding or Partner Organisation: Australian Research Council (ARC Discovery Projects)

Start year: 2008

Summary: This project will aid the analysis of complex data sets throughout Australia. The ensuing methodology and software products will be applicable to data arising from longitudinal and geo-referenced public health and biomedical studies being conducted in Australia. It will also aid analysis of complex survey data from the Australian Bureau of Statistics and other agencies. Part of this project is geared towards smart information use in Australian industries and will help foster collaboration between mathematical scientists and members of the Australian business sector. Cancer research in Australia will also benefit from this project.

Publications:

Pham, TH & Wand, MP 2018, 'Generalised additive mixed models analysis via gammSlice', Australian and New Zealand Journal of Statistics, vol. 60, no. 3, pp. 279-300.
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Al Kadiri, M, Carroll, RJ & Wand, M 2010, 'Marginal longitudinal semiparametric regression via penalized splines', Statistics & Probability Letters, vol. 80, no. 15-16, pp. 1242-1252.
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Ormerod, JT & Wand, M 2010, 'Explaining variational approximations', The American Statistician, vol. 64, no. 2, pp. 140-153.
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Pearce, ND & Wand, M 2009, 'Explicit connections between longitudinal data analysis and kernel machines', Electronic Journal of Statistics, vol. 3, pp. 797-823.
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Ruppert, D, Wand, M & Carroll, RJ 2009, 'Semiparametric regression during 2003-2007', Electronic Journal of Statistics, vol. 3, no. 1, pp. 1193-1256.
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Wand, M 2009, 'Semiparametric regression and graphical models', Australian & New Zealand Journal of Statistics, vol. 51, no. 1, pp. 9-41.
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FOR Codes: Statistics