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2001 Journal Article MRI based diffusion and perfusion predictive model to estimate stroke evolutionRose, Stephen E., Chalk, Jonathan B., Griffin, Mark P., Janke, Andrew L., Chen, Fang, Mclachlan, Geoffrey J., Peel, David, Zelaya, Fernando O., Markus, Hugh S., Jones, Derek K., Simmons, Andrew, O'Sullivan, Michael, Jarosz, Jo M., Strugnell, Wendy and Doddrell, David M. (2001). MRI based diffusion and perfusion predictive model to estimate stroke evolution. Magnetic Resonance Imaging, 19 (8), 1043-1053. doi: 10.1016/S0730-725X(01)00435-0 |
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2001 Journal Article Letter to the editorMcLachlan, G. J. (2001). Letter to the editor. Journal of Agricultural, Biological, and Environmental Statistics, 6 (2), 302-304. doi: 10.1198/108571101750524797 |
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2001 Journal Article Fitting mixtures of Kent distributions to aid in joint set identificationPeel, D, Whiten, WJ and McLachlan, GJ (2001). Fitting mixtures of Kent distributions to aid in joint set identification. Journal of The American Statistical Association, 96 (453), 56-63. doi: 10.1198/016214501750332974 |
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2001 Other Outputs Multivariate analysis: Classification and discriminant analysisMcLachlan, G. J. (2001). Multivariate analysis: Classification and discriminant analysis. |
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2000 Journal Article Robust Mixture Modelling Using the t DistributionPeel, D. and McLachlan, G. J. (2000). Robust Mixture Modelling Using the t Distribution. Statistics and Computing, 10 (4), 339-348. doi: 10.1023/A:1008981510081 |
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2000 Journal Article Heterogeneity in schizophrenia; mixture modelling of age-at-first-admission, gender and diagnosisWelham, J., McLachlan, G., Davies, G. and McGrath, J. (2000). Heterogeneity in schizophrenia; mixture modelling of age-at-first-admission, gender and diagnosis. Acta Psychiatrica Scandinavica, 101 (4), 312-317. doi: 10.1034/j.1600-0447.2000.101004312.x |
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2000 Book Finite mixture models: McLachlan/finite mixture modelsMcLachlan, Geoffrey and Peel, David (2000). Finite mixture models: McLachlan/finite mixture models. Hoboken, NJ, USA: John Wiley & Sons. doi: 10.1002/0471721182 |
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2000 Book Finite Mixture ModelsMcLachlan, G. J. and Peel, D. (2000). Finite Mixture Models. New York: John Wiley & Sons. |
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2000 Journal Article Heterogeneity in schizophrenia; mixture modelling of age-at-first admission, gender and diagnosisWelham, J., McLachlan, G. J., Davies, G. and McGrath, J. J. (2000). Heterogeneity in schizophrenia; mixture modelling of age-at-first admission, gender and diagnosis. Acta Pyschiatrica Scandinavica, 1, 312-317. |
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2000 Conference Publication Multivariate mixture models for classification of anemiasMcLaren, C. E., Cadez, I. V., Smyth, P. and McLachlan, G. J. (2000). Multivariate mixture models for classification of anemias. 2000 Proceedings of the Biometrics Sect. of the Amer.Stat.Ass, Indianapolis, USA, August 2000. Virginia, USA: American Statistical Association. |
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2000 Conference Publication Mixture of factor analyzersMcLachlan, G. J. and Peel, D. (2000). Mixture of factor analyzers. Seventh International Conference on Machine Learning (ICML - 2000), California, United States, June 29 - July 2 2000. San Francisco, CA United States: Morgan Kaufmann. |
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2000 Journal Article Patient-specific Analysis of Sequential Haematological Data by Multiple Linear Regression and Mixture Distribution ModellingMcLaren, C. E., Kambour, E. L., McLachlan, G. J., Lukaski, H. C., Li, X., Brittenham, G. M. and McLaren, G. D. (2000). Patient-specific Analysis of Sequential Haematological Data by Multiple Linear Regression and Mixture Distribution Modelling. Statistics in Medicine, 19 (1), 83-98. doi: 10.1002/(SICI)1097-0258(20000115)19:13.0.CO;2-A |
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1999 Journal Article The EMMIX software for the fitting of mixtures of normal and t-componentsMcLachlan, G. J., Peel, D., Basford, K. E. and Adams, P. (1999). The EMMIX software for the fitting of mixtures of normal and t-components. Journal of Statistical Software, 4 (2). |
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1999 Conference Publication Extending the two-way mixture model program EMMIX to analyse incomplete dataGreenway, D. R., Peel, D., Basford, K. E. and McLachlan, G. J. (1999). Extending the two-way mixture model program EMMIX to analyse incomplete data. Biometrics 99, Univ. of Tas., Hobart, Tas, Aust., 12-16 December 1999. Hobart, Aust.: Int. Biomtric Society, Australasian Region. |
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1999 Conference Publication Computing issues for the EM algorithm in mixture modelsMclachlan, G. J. and Peel, D. (1999). Computing issues for the EM algorithm in mixture models. Interface '99, Schaumbury, Illinois, June 1999. Fairfax Station, Virginia: Interface Foundation of North America. |
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1999 Journal Article Constrained mixture models in competing risks problemsNg, SK, McLachlan, GJ, McGiffin, DC and OBrien, MF (1999). Constrained mixture models in competing risks problems. Environmetrics, 10 (6), 753-767. doi: 10.1002/(SICI)1099-095X(199911/12)10:63.3.CO;2-B |
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1999 Conference Publication Hierarchical models for the screening of iron deficiency anemiaCadez, I. V., McLaren, C. E., Smyth, P. and Mclachlan, G. J. (1999). Hierarchical models for the screening of iron deficiency anemia. Sixteenth International Conference on Machine Learning (ICML-99), Bled, Slovenia, June 27-30, 1999. Los Gatos, California: Morgan Kaufmann. |
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1998 Journal Article On modifications to the long-term survival mixture model in the presence of competing risksNg, SK and McLachlan, GJ (1998). On modifications to the long-term survival mixture model in the presence of competing risks. Journal of Statistical Computation And Simulation, 61 (1-2), 77-96. doi: 10.1080/00949659808811903 |
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1998 Journal Article Distribution of transferrin saturation in an Australian population: Relevance to the early diagnosis of hemochromatosisMcLarenCE, McLachlanGJ, HallidayJW, WebbSI, LeggettBA, JazwinskaEC, Crawford, DHG, GordeukVR, McLarenGD and PowellLW (1998). Distribution of transferrin saturation in an Australian population: Relevance to the early diagnosis of hemochromatosis. Gastroenterology, 114 (3), 543-549. doi: 10.1016/S0016-5085(98)70538-4 |
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1998 Journal Article 25 years of applied statisticsMcLachlan, G (1998). 25 years of applied statistics. Journal of Applied Statistics, 25 (1), 3-22. |