Browse By Person: Faddy, Malcolm
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Number of items: 28.
Journal Article
Drovandi, Christopher C., Pettitt, Anthony N., & Faddy, Malcolm J. (2011) Approximate Bayesian computation using indirect inference. Journal of the Royal Statistical Society, Series C (Applied Statistics), 60(3), pp. 317-337.
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10 2 1Faddy, Malcolm, Fenlon, John, & Skirvin, D. (2010) Bivariate stochastic modeling of functional response with natural mortality. Journal of Agricultural, Biological, and Environmental Statistics, 15(1), pp. 38-48.
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1Faddy, Malcolm, Gosden, Roger, Ahuja, Kamal, & Elder, Kay (2010) Egg sharing for assisted conception: a window on oocyte quality. Reproductive BioMedicine Online, 22(1), pp. 88-93.
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1Faddy, Malcolm J., Graves, Nicholas, & Pettitt, Anthony N. (2009) Modeling length of stay in hospital and other right skewed data : comparison of phase-type, gamma and log-normal distributions. Value In Health, 12(2), pp. 309-314.
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7 3Courcy Williams, Michael, Faddy, Malcolm, Fenlon, John, & Toussidou, Menia (2009) Egg distributions of insect parasitoids: modelling and analysis of temporal data with host density dependence. Acta Biotheoretica, 57(3), pp. 309-320.
Schatzle, Marc, Faddy, Malcolm, Cullinan, Mary, Seymour, Gregory, Lang, Niklaus, Burgin, Walter, et al. (2009) The clinical course of chronic periodontitis: V. Predictive factors in periodontal disease. Journal of Clinical Periodontology, 36(5), pp. 365-371.
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10McGrory, Clare A., Pettitt, Anthony N., & Faddy, Malcolm (2009) A fully Bayesian approach to inference for Coxian phase-type distributions with covariate dependent mean. Computational Statistics and Data Analysis, 53(12), pp. 4311-4321.
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61Graves, Nicholas, Tong, Edward, Faddy, Malcolm J., & Whitby, Michael (2008) Comparison of two methods for attributing length of hospital stay to healthcare-acquired infection. Healthcare Infection, 13(4), pp. 111-119.
Graves, Nicholas, Tong, Edward, Faddy, Malcolm J., & Whitby, Michael (2008) Comparison of two methods for attributing length of hospital stay to healthcare-acquired infection. Healthcare Infection, 13(4), pp. 111-119.
Faddy, Malcolm & Smith, David (2008) Extended poisson process modelling of dilution series data. Journal of the Royal Statistical Society: Series C (Applied Statistics), 57(4), pp. 461-471.
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1 1Elder, Kay, Espenberg, Donna, Faddy, Malcolm, Gosden, Roger, Kim, Eujin, Kutner, Ellen, et al. (2008) Impact of gonadotrophin stimulation for assisted reproductive technology on ovarian ageing and menopause. Reproductive BioMedicine Online, 16(5), pp. 611-616.
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4 3Cullinan, Mary, Faddy, Malcolm, Hamlet, Stephen, Middleton, P, Palmer, Janet, Seymour, G, et al. (2008) Progression of periodontal disease and interleukin-10 gene polymorphism. Journal of Periodontal Research, 43(3), pp. 328-333.
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11 10Broekmans, Frank, de Jong, F, Disseldorp, J, Faddy, Malcolm, Peeters, P, Schouw, Y, et al. (2008) Relationship of serum antimüllerian hormone concentration to age of menopause. Journal of Clinical Endocrinology and Metabolism, 93(6), pp. 2129-2134.
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75Fletcher, David & Faddy, Malcolm (2007) Confidence Intervals for Expected Abundance of Rare Species. Journal of Agricultural, Biological, and Environmental Statistics, 12(3), pp. 315-324.
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2 2Cherkas, L, Faddy, Malcolm, Gosden, Roger, Martin, N, Silber, Sherman, Spector, T, et al. (2007) Prevalence of Premature Ovarian Failure in Monozygotic And Dizygotic Twins. Human Reproduction, 22(2), pp. 610-615.
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19 16Faddy, Malcolm & McClean, Sally (2007) Using a Multi-State Model to Enhance Understanding of Geriatric Patient Care. Australian Health Review, 31(1), pp. 91-97.
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2 1Fenlon, John S. & Faddy, Malcolm J. (2006) Modelling predation in functional response. Ecological Modelling, 198(1-2), pp. 154-162.
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11 10Ridout, Martin S., Faddy, Malcolm J., & Solomon, Michael G. (2006) Modelling the effects of repellent chemicals on foraging bees. Journal of the Royal Statistical Society: Series C (Applied Statistics), 55(1), pp. 63-75.
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4Faddy, Malcolm J. & Smith, David M. (2005) Modeling the dependence between the number of trials and the success probability in binary trials. Biometrics, 61(4), pp. 1112-1114.
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5 5Andersen, Claus, Byskov, Anne, Faddy, Malcolm, & Lemmen, Josephine (2005) Eggs Forever? Differentiation: Ontogeny, Neoplasia and Differentiation Therapy, 73(9-10), pp. 438-446.
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56 49Faddy, Malcolm & Toscas, Peter (2005) Fitting the Extended Poisson Process Model to Grouped Binary Data. Computational Statistics, 20, pp. 595-609.
Faddy, Malcolm & McClean, Sally (2005) Markov Chain Modelling for Geriatric Patient Care. Methods of Information in Medicine, 44(3), pp. 369-373.
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23 20Podlich, Heather M., Faddy, Malcolm J., & Smyth, Gordon K. (2004) Semi-parametric extended Poisson process models for count data. Statistics and Computing, 14(4), pp. 311-321.
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4 5Burridge, C, Faddy, Malcolm, & Toscas, P (2004) Analysis of the Impact of Prawn Trawling on Benthic Species in the Great Barrier Reef Marine Park. Environmetrics, 15, pp. 279-289.
Broekmans, Frank, Faddy, Malcolm, Scheffer, Gabrielle, & Velde, Egbert (2004) Antral Follicle Counts are Related to Age at Natural Fertility Loss and Age at Menopause. The Journal of the North American Menopause Society, 11(6), pp. 607-614.
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39Faddy, Malcolm & Toscas, P (2004) Using Fisher Scoring to Fit Extended Poisson Process Models. Computational Statistics, 19, pp. 425-443.
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1Faddy, Malcolm & Taylor, G (2003) Stochastic Modelling of the Onset of Bronchiolitis Obliterans Syndrome Following Lung Transplantation: An Analysis of Risk Factors. Mathematical and Computer Modelling, 38((2003)), pp. 1185-1189.
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3 2Conference Paper
Faddy, Malcolm, McClean, Sally, & Millard, Peter (2005) Markov Model-Based Clustering for Efficient Patient Care. In Tsymbal, A & Cunningham, P (Eds.) Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05), 23 June - 24 June 2005, Ireland, Dublin.
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