Publications

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  • N. Karavarsamis, G Guillera-Arroita, R. Huggins, BJT Morgan. The score test for the two?sample occupancy model. Australian and New Zealand Journal of Statistics, 62, 94-115, 2020. doi: 10.1111/anzs.12288.

  • W. Hwang, R. Huggins. Estimating Abundance from Presence-Absence Maps via a Paired Negative-Binomial Model. Scandinavian Journal of Statistics, 43, 573-586, 2016. doi: 10.1111/sjos.12192.

  • E. Kulinskaya, R. Huggins, Samson Henry Dogo. Sequential biases in accumulating evidence. Research Synthesis Methods, 7, 294-305, 2016. doi: 10.1002/jrsm.1185.

  • R. Huggins, P. Yip, J. Stoklosa. Nonparametric Estimation of the Number of Drug Users in Hong Kong Using Repeated Multiple Lists. Australian & New Zealand Journal of Statistics, 58, 1-13, 2016. doi: 10.1111/anzs.12149.

  • J. Stoklosa, W. Hwang, P. Yip, R. Huggins. Accounting for contamination and outliers in covariates for open population capture-recapture models. Journal of Statistical Planning and Inference, 176, 52-63, 2016. doi: 10.1016/j.jspi.2016.03.004.

  • J. Stoklosa, Peter Dann, R. Huggins, W. Hwang. Estimation of survival and capture probabilities in open population capture-recapture models when covariates are subject to measurement error. Computational Statistics & Data Analysis, 96, 74-86, 2016. doi: 10.1016/j.csda.2015.10.010.

  • W. Hwang, R. Huggins, J. Stoklosa. Estimating negative binomial parameters from occurrence data with detection times. Biometrical Journal, 58, 1409-1427, 2016. doi: 10.1002/bimj.201500239.

  • Chathurika Kumari Hettiarachchi Hettiarachchige, R. Huggins. Inference from single occasion capture experiments using genetic markers. 2016.

  • Sabrina Rodrigues, R. Huggins. Resolving some high dimensional problems in bioinformatics. 2016.

  • T. Yee, J. Stoklosa, R. Huggins. The VGAM Package for Capture-Recapture Data Using the Conditional Likelihood. Journal of Statistical Software, 65, 1-33, 2015.

  • Kanvel Shazadi, Slave Petrovski, Annie Roten, H. Miller, R. Huggins, Martin J Brodie, Munir Pirmohamed, M. Johnson, Anthony G Marson, Graeme J Sills, Terence J O’Brien. Validation of a multigenic model to predict seizure control in newly treated epilepsy. Epilepsy Research, 108, 1797-1805, 2014. doi: 10.1016/j.eplepsyres.2014.08.022.

  • J. Stoklosa, Peter Dann, R. Huggins. Semivarying coefficient models for capture-recapture data: Colony size estimation for the little penguin Eudyptula minor. Mathematical Biosciences, 255, 43-51, 2014. doi: 10.1016/j.mbs.2014.06.014.

  • N. Karavarsamis, R. Huggins. Methods for estimating occupancy. 2014.

  • R. Huggins, J. Stoklosa. Semiparametric inference for open populations using the Jolly–Seber model: a penalized spline approach. Journal of Statistical Computation and Simulation, 83, 1-15, 2013. doi: 10.1080/00949655.2012.668908.

  • R. Huggins. Using speeding detections and numbers of fatalities to estimate relative risk of a fatality for motorcyclists and car drivers. Accident Analysis & Prevention, 59, 296-300, 2013. doi: 10.1016/j.aap.2013.06.020.

  • J. Stoklosa, R. Huggins. A robust P-spline approach to closed population capture–recapture models with time dependence and heterogeneity. Computational Statistics & Data Analysis, 56, 408-417, 2012. doi: 10.1016/j.csda.2011.08.004.

  • Y. Xu, P. Yip, R. Huggins. A Generalized Chain Binomial Model with Aggregated Data. Communications In Statistics - Theory and Methods, 41, 3325-3338, 2012. doi: 10.1080/03610926.2011.563012.

  • J. Stoklosa, P Dann, R. Huggins. Inference on Partially Observed Quasi-stationary Markov Chains With Applications to Multistate Population Models. Journal of Agricultural, Biological and Environmental Statistics, 17, 52-67, 2012. doi: 10.1007/s13253-011-0065-7.

  • J. Stoklosa, R. Huggins. Cormack-Jolly-Seber model with environmental covariates: A P-spline approach. Biometrical Journal, 54, 861-874, 2012. doi: 10.1002/bimj.201100215.

  • EM Furlan, J. Stoklosa, J Griffiths, N Gust, R Ellis, R. Huggins, AR Weeks. Small population size and extremely low levels of genetic diversity in island populations of the platypus, Ornithorhynchus anatinus. Ecology and Evolution, 2, 844-857, 2012. doi: 10.1002/ece3.195.

  • G. Qian, N. Li, R. Huggins. Using capture-recapture data and hybrid Monte Carlo sampling to estimate an animal population affected by an environmental catastrophe. Computational Statistics & Data Analysis, 55, 655-666, 2011. doi: 10.1016/j.csda.2010.06.009.

  • H. Yang, L Chang, R. Huggins, C. Chen, CG Mullighan. LOHAS: Loss-of-Heterozygosity Analysis Suite. Genetic Epidemiology, 35, 247-260, 2011. doi: 10.1002/gepi.20573.

  • H. Lin, P. Yip, R. Huggins. A nonparametric estimation of the infection curve. Science China Mathematics, 54, 1815-1828, 2011. doi: 10.1007/s11425-011-4224-7.

  • C. Mueller, R. Huggins, W. Hwang, CH Müller. Consistent estimation of species abundance from a presence-absence map. Statistics and Probability Letters, 81, 1449-1457, 2011. doi: 10.1016/j.spl.2011.04.005.

  • J. Stoklosa, Hwang, Wu, R. Huggins. Heterogeneous Capture–Recapture Models with Covariates: A Partial Likelihood Approach for Closed Populations. Biometrics, 67, 1659-1665, 2011. doi: 10.1111/j.1541-0420.2011.01596.x.

  • R. Huggins, Hwang. A Review of the Use of Conditional Likelihood in Capture-Recapture Experiments. International Statistical Review, 79, 385-400, 2011. doi: 10.1111/j.1751-5823.2011.00157.x.

  • W. Hwang, R. Huggins. A semiparametric model for a functional behavioural response to capture in capture-recapture experiments. Australian & New Zealand Journal of Statistics, 53, 403-421, 2011. doi: 10.1111/j.1467-842X.2011.00636.x.

  • P. Hickey, R. Huggins, M. Bahlo. X Chromosome Association Testing in Genome Wide Association Studies. Genetic Epidemiology, 34, 982 (1pp), 2010.

  • Q. Bui, R. Huggins, W. Hwang, V White, B Erbas. A varying coefficient model to measure the effectiveness of mass media anti-smoking campaigns in generating Calls to a Quitline. Journal of Epidemiology, 20, 473-479, 2010. doi: 10.2188/jea.JE20090105.

  • R. Huggins, JE Kearns, Y Wang. Analysis of an Extended Batch Marking Experiment Using Estimating Equations. Journal of Agricultural, Biological and Environmental Statistics, 15, 279-289, 2010. doi: 10.1007/s13253-010-0018-6.

  • S Petrovski, C Szoeke, N Jones, M Salzberg, L Sheffield, R. Huggins, TJ O Brien. Neuropsychiatric symptomatology predicts seizure recurrence in newly treated patients. Neurology, 75, 1015-1021, 2010. doi: 10.1212/WNL.0b013e3181f25b16.

  • P. Yip, D Pitt, Y Wang, XW Wu, R. Watson, R. Huggins, Y. Xu. Assessing the impact of suicide exclusion periods on life insurance. Crisis: the journal of crisis intervention and suicide prevention, 31, 217-223, 2010. doi: 10.1027/0227-5910/a000023.

  • R. Huggins. A note on estimating the size of an open population of stationary size. Communications In Statistics - Theory and Methods, 39, 363-371, 2010. doi: 10.1080/03610920902755805.

  • R. Huggins, W. Hwang. A measurement error model for heterogeneous capture probabilities in mark-recapture experiments: An estimating equation approach. Journal of Agricultural, Biological and Environmental Statistics, 50, 198-208, 2010. doi: 10.1007/s13253-009-0003-0.

  • S Petrovski, C Szoeke, L Sheffield, R. Huggins, W D Souza, TJ O Brien, Wendyl DʼSouza, Terence J OʼBrien. Multi-SNP pharmacogenomic classifier is superior to single-SNP models for predicting drug outcome in complex diseases. Pharmacogenetics and Genomics, 19, 147-152, 2009. doi: 10.1097/FPC.0b013e32831d1dfa.

  • C Dissanayake, Q. Bui, D Bulhak-Paterson, R. Huggins, DZ Loesch. Behavioural and cognitive phenotypes in idiopathic autism versus autism associated with fragile X syndrome. Journal of Child Psychology and Psychiatry, 50, 290-299, 2009. doi: 10.1111/j.1469-7610.2008.01988.x.

  • DZ Loesch, DE Godler, M Khaniani, E Gould, F Gehling, C Dissanayake, T Burgess, F Tassone, R. Huggins, H Slater, A Choo, KH Andy Cho. Linking the FMR1 Alleles With Small CGG Expansions With Neurodevelopmental Disorders: Preliminary Data Suggest an Involvement of Epigenetic Mechanisms. American Journal of Medical Genetics. Part A, 149, 2306-2310, 2009. doi: 10.1002/ajmg.a.32990.

  • DE Godler, DZ Loesch, R. Huggins, L Gordon, HR Slater, F Gehling, T Burgess, KHA Choo. Improved Methodology for Assessment of mRNA Levels in Blood of Patients with FMR1 Related Disorders. BMC Clinical Pathology, 9, 1-13, 2009. doi: 10.1186/1472-6890-9-5.

  • Slave Petrovski, CE Szoeke, NC Jones, MR Salzberg, RJ Panelli, R. Huggins. A pre-treatment neurocognitive questionnaire provides predictive value for seizure recurrence in newly treated epilepsy. Epilepsia, 50, 44-45, 2009.

  • F. Chen, R. Huggins, P. Yip, K. Lam. Nonparametric Estimation of Multiplicative Counting Process INtensity Functions with an Application to the Beijing SARS Epidemic. Communications In Statistics - Theory and Methods, 37, 294-306, 2008. doi: 10.1080/03610920701649035.

  • H. Lin, P. Yip, R. Huggins. A double-nonparametric procedure for estimating the number of delay reported cases. Statistics in Medicine, 27, 3325-3339, 2008. doi: 10.1002/sim.3183.

  • F. Chen, R. Huggins, K. Lam, P. Yip. Local polynomial estimation of Poisson intensities in the presence of reporting delays. Journal of the Royal Statistical Society - Series C: Applied Statistics, 57, 447-459, 2008. doi: 10.1111/j.1467-9876.2008.00624.x.

  • R. Huggins, L Li, Y Lin, A Yu, H. Yang. Nonparametric estimation of LOH using Affymetrix SNP genotyping arrays for unpaired samples. Journal of Human Genetics, 53, 983-900, 2008. doi: 10.1007/s10038-008-0340-9.

  • Slave Petrovski, CE Szoeke, LJ Sheffield, R. Huggins. A multi-SNP predictor for drug outcome in complex diseases. Epilepsia, 49, 478-479, 2008.

  • D Loesch, Q. Bui, R. Huggins, R Mitchell, R Hagerman, F Tassone. Transcript levels of the intermediate size or grey zone FMR1 alleles are elevated, and correlate with the number of CGG repeats.. Journal of Medical Genetics, 44, 200-204, 2007. doi: 10.1136/jmg.2006.043950.

  • D Loesch, Q. Bui, C Dissanayake, S Clifford, E Gould, D Bulhak-Paterson, F Tassone, A Taylor, D Hessl, R. Huggins, R Hagerman. Molecular and cognitive predictors of the continuum of autistic behaviours in fragile X. Neuroscience and Biobehavioral Reviews, 31, 315-326, 2007. doi: 10.1016/j.neubiorev.2006.09.007.

  • R. Huggins. On the use of linear models in the estimation of the size of population using capture-recapture data. Statistics and Probability Letters, 77, 649-653, 2007. doi: 10.1016/j.spl.2006.09.012.

  • W. Hwang, R. Huggins. Application of semiparametric regression models in the analysis of capture-recapture experiements. Australian & New Zealand Journal of Statistics, 49, 191-202, 2007. doi: 10.1111/j.1467-842X.2007.00474.x.

  • R. Huggins, W. Hwang. Nonparametric estimation of population size from capture-recapture data when the capture probability depends on a covariate. Journal of the Royal Statistical Society - Series C: Applied Statistics, 56, 429-443, 2007. doi: 10.1111/j.1467-9876.2007.00585.x.

  • D. Liu, P. Yip, R. Huggins. Nonparametric method for estimating the size of an open population using marginal data from repeated multiple lists. Australian & New Zealand Journal of Statistics, 49, 303-320, 2007. doi: 10.1111/j.1467-842X.2007.00482.x.

  • R. Huggins, P. Hall, P. Yip, Q. Bui. Applications of Additive Semivarying Coefficient Models: Monthly Suicide Data from Hong Kong. Biometrics, 63, 708-713, 2007. doi: 10.1111/j.1541-0420.2006.00727.x.

  • R. Huggins. Some properties of a non-parametric estimator of the size of an open population. Journal of Statistical Planning and Inference, 138, 618-623, 2007. doi: 10.1016/j.jspi.2006.12.004.

  • Danuta Z Loesch, Q. Bui, R. Huggins, Robert J Mitchell, Randi J Hagerman, Flora Tassone. Transcript levels of the intermediate size or grey zone fragile X mental retardation 1 alleles are raised, and correlate with the number of CGG repeats. Journal of Medical Genetics, 44, 200-204, 2007. doi: 10.1136/jmg.2006.043950.

  • Sally Clifford, Cheryl Dissanayake, Q. Bui, R. Huggins, Annette K Taylor, Danuta Z Loesch. Autism spectrum phenotype in males and females with fragile x full mutation and premutation. Journal of Autism and Developmental Disorders, 37, 738-747, 2007. doi: 10.1007/s10803-006-0205-z.

  • N. Li, G. Qian, R. Huggins. A latent variable model for estimating disease transmission rate from data on household outbreaks. Computational Statistics & Data Analysis, 50, 3354-3368, 2006. doi: 10.1016/j.csda.2005.06.011.

  • R. Huggins. Semiparametric estimation of animal abundance using capture-recapture data from open populations. Biometrics, 62, 684-690, 2006. doi: 10.1111/j.1541-0420.2005.00508.x.

  • R. Huggins. Understanding nonparametric estimation for clustered data. Biometrika, 93, 486-489, 2006. doi: 10.1093/biomet/93.2.486.

  • C Dissanayake, Q. Bui, R. Huggins, DZ Loesch. Growth in stature and head circumference in high-functioning autism and Asperger’s disorder during the first three years of life. Development and Psychopathology, 18, 381-393, 2006. doi: 10.1017/S0954579406060202.

  • A. Chao, R. Huggins. Classical closed-population Capture-Recapture models. 22-36, Princeton University Press, 2005.

  • A. Chao, R. Huggins. Modern closed-population Capture-Recapture models. 58-87, Princeton University Press, 2005.

  • W. Hwang, R. Huggins. An examination of the effect of heterogeneity on the estimation of population size using capture-recapture data. Biometrika, 92, 229-233, 2005. doi: 10.1093/biomet/92.1.229.

  • SFP Yip, E. Lau, K. Lam, R. Huggins. A Chain Multinomial Model for Estimating Real Time Fatality Rate of a Disease with Application to Severe Acute Respiratory Syndrome. American Journal of Epidemiology, 161, 700-706, 2005. doi: 10.1093/aje/kwi088.

  • H. Yang, L Chambers, R. Huggins. A seasonal decomposition of the estimated size of a penguin population at Phillip Island, Australia. Australian Journal of Zoology, 53, 111-115, 2005. doi: 10.1071/ZO04014.

  • DZ Loesch, L Litewka, P Brotchie, R. Huggins, F Tassone, M Cook. Clinical neurological, and MRI volumetric study in older male carriers of premutation ion in FMRI gene: FXTAS and beyond. Journal of the Neurological Sciences, 238, S59 (1pp), 2005.

  • DZ Loesch, Q. Bui, W Kelso, R. Huggins, HR Slater, GL Warne, P Bergman, C Rodda, RJ Mitchell, MR PRIOR. Effect of Turner's syndrome and X-linked imprinting on cognitive status: analysis based on pedigree data. Brain and Development, 27, 494-503, 2005. doi: 10.1016/j.braindev.2004.12.009.

  • R. Huggins, Loesch, G. Qian, Q. Bui, Mitchell, Dobson, Taylor. Hierarchical Bayes model for random haplotype and family effects in the transmission of fragile-X. Genetic Epidemiology, 26, 294-304, 2004. doi: 10.1002/gepi.10316.

  • G. Qian, R. Huggins, Loesch. Application of the Rasch model in categorical pedigree analysis using MCEM: I Binary data. Discussiones Mathematicae, 24, 255-280, 2004.

  • R. Huggins, SFP Yip, E. Lau. A Note On the Estimation of the Initial Number of Susceptible Individuals in the General Epidemic Model. Statistics and Probability Letters, 67, 321-330, 2004. doi: 10.1016/j.spl.2002.02.001.

  • DZ Loesch, R. Huggins, RJ Hagerman. Phenotypic variation and FMRP levels in Fragile X. Mental Retardation and Developmental Disabilities, 10, 31-41, 2004. doi: 10.1002/mrdd.20006.

  • R. Huggins. A note on nonparametric estimation for clustered data. Statistics and Probability Letters, 69, 129-133, 2004. doi: 10.1016/j.spl.2004.06.010.

  • R. Huggins, DZ Loesch. Robust nonparametric estimation of genotype-phenotype relationships in human pedigrees. Australian & New Zealand Journal of Statistics, 46, 601-613, 2004. doi: 10.1111/j.1467-842X.2004.00356.x.

  • DZ Loesch, R. Huggins, Q. Bui, AK Taylor, C Pratt, J Epstein, RJ Hagerman. Effect of fragile X status categories and FMRP deficits on cognitive profiles estimated by robust pedigree analysis. American Journal of Medical Genetics, 122 A, 13-23, 2003.

  • N. Li, G. Qian, R. Huggins. A random effects model for diseases with heterogeneous rates of infection. Journal of Statistical Planning and Inference, 116, 317-332, 2003. doi: 10.1016/S0378-3758(02)00232-X.

  • H. Yang, R. Huggins, ASS Clark. Estimation of the size of an open population using local estimating equations II: A Partially Parametric Approach. Biometrics, 59, 365-374, 2003. doi: 10.1111/1541-0420.00043.

  • R. Huggins, H. Yang, A. Chao, P. Yip. Population size estimation using local sample coverage for open populations. Journal of Statistical Planning and Inference, 113, 699-714, 2003. doi: 10.1016/S0378-3758(02)00093-9.

  • DZ Loesch, R. Huggins, Q. Bui, AK Taylor, RJ Hagerman. Relationship of deficits of FMR1 gene specific protein with physical phenotypeof Fragile X males and females in pedigrees: a new perspective. American Journal of Medical Genetics, 118A, 127-134, 2003. doi: 10.1002/ajmg.a.10099.

  • H. Yang, R. Huggins. The estimation of the size of an open population using local estimating equations. Statistica Sinica, 13, 673-689, 2003.

  • DZ Loesch, Q. Bui, J Grigsby, E Butler, J Epstein, R. Huggins, AK Taylor, RJ Hagerman. Effect of the fragile X status categories and the FMRP levels on executive functioning in fragile X males and females. Neuropsychology, 17, 646-657, 2003. doi: 10.1037/0894-4105.17.4.646.

  • R. Huggins. Capture-recapture experiments with time heterogeneous capture probabilities in continuous time: A counting process approach. Communications In Statistics - Theory and Methods, 33, 1221-1238, 2003. doi: 10.1081/STA-120029837.

  • DZ Loesch, R. Huggins, QM Bui, AK Taylor, C Pratt, J Epstein, RJ Hagerman. Effect of fragile x status categories and FMRP deficits on cognitive profiles estimated by robust pedigree analysis. American journal of medical genetics. Part A, 122A, 13-23, 2003. doi: 10.1002/ajmg.a.20214.

  • N. Li, G. Qian, R. Huggins. Analyses of between-household heterogeneity in disease transmission from data on outbreak sizes. Australian & New Zealand Journal of Statistics, 44, 401-411, 2002. doi: 10.1111/1467-842X.00242.

  • DZ Loesch, R. Huggins, AK Taylor. Application of robust pedigree analysis in studies of complex genotype-phenotype relationships in fragile X syndrome. American Journal of Medical Genetics, 107, 136-142, 2002. doi: 10.1002/ajmg.10129.

  • R. Huggins. A parametric empirical Bayes approach to the analysis of capture–recapture experiments. Australian & New Zealand Journal of Statistics, 44, 55-62, 2002. doi: 10.1111/1467-842X.00207.

  • R. Huggins, A. Chao. Asymptotic properties of an optimal estimating function approach to the analysis of mark recapture data. Communications In Statistics - Theory and Methods, 31, 575-595, 2002. doi: 10.1081/STA-120003135.

  • DZ Loesch, R. Huggins, M Bui, AK Taylor, R Hagerman, JL Epstein, Q. Bui. Effect of the deficits of fragile X mental retardation protein (FMRP) on cognitive status of fragile X males and females assessed by robust pedigree analysis.. Journal of Developmental and Behavioral Pediatrics, 23, 416-423, 2002. doi: 10.1097/00004703-200212000-00004.

  • R. Huggins. A note on the difficulties associated with the analysis of capture–recapture experiments. Statistics and Probability Letters, 54, 147-152, 2001. doi: 10.1016/S0167-7152(00)00233-9.

  • R. Huggins, SFP Yip. A note on nonparametric inference for capture-recapture experiments with heterogeneous capture probabilities. Statistica Sinica, 11, 843-853, 2001.

  • R. Huggins, IV Basawa. Inference for the extended bifurcating autoregressive model for cell lineage studies. Australian and New Zealand Journal of Statistics, 42, 423-432, 2000. doi: 10.1111/1467-842X.00139.

  • EL Gould, DZ Loesch, MJ Martin, RJ Hagerman, SM Armstrong, R. Huggins. Melatonin profiles and sleep characteristics in boys with fragile X syndrome: A preliminary study. American Journal of Medical Genetics, 95, 307-315, 2000. doi: 10.1002/1096-8628(20001211)95:4<307::AID-AJMG3>3.0.CO;2-3.

  • DZ Loesch, K Stokes, R. Huggins. Secular trend in body height and weight of Australian children and adolescents. American Journal of Physical Anthropology, 111, 545-556, 2000. doi: 10.1002/(SICI)1096-8644(200004)111:4<545::AID-AJPA9>3.0.CO;2-X.

  • R. Huggins. Local estimation of age-dependent variance components from longitudinal twin data. Biometrics, 56, 537-545, 2000. doi: 10.1111/j.0006-341X.2000.00537.x.

  • R. Huggins, G. Qian, Loesch. Inference on random coefficient models for haplotype effects in dynamic mutations using MCMC. Selected Proceedings of the Symposium on Inference for Stochastic Processes, 37, 185-202, 2000.

  • R. Huggins, NH Hoang, DZ Loesch. Analysis of longitudinal data from twins. Genetic Epidemiology, 19, 345-353, 2000. doi: 10.1002/1098-2272(200012)19:4<345::AID-GEPI6>3.0.CO;2-S.

  • R. Huggins, P. Yip. Estimation of the size of an open population from capture-recapture data using weighted martingale methods. Biometrics, 55, 387-395, 1999. doi: 10.1111/j.0006-341X.1999.00387.x.

  • R. Huggins, IV Basawa. Extensions of the bifurcating autoregressive model for cell lineage studies. Journal of Applied Probability, 36, 1225-1233, 1999. doi: 10.1017/S002190020001799X.

  • DZ Loesch, R. Huggins, KM Stokes. Relationship of birth weight and length with growth in height and body diameters from 5 years of age to maturity. American Journal of Human Biology, 11, 772-778, 1999. doi: 10.1002/(SICI)1520-6300(199911/12)11:6<772::AID-AJHB7>3.0.CO;2-H.

  • Q. Bui, R. Huggins. Inference for the random coefficients bifurcating autoregressive model for cell lineage studies. Journal of Statistical Planning and Inference, 81, 253-262, 1999. doi: 10.1016/S0378-3758(99)00049-X.

  • Q. Bui, R. Huggins. Robust inference for the bivariate bifurcating autoregressive model. Australian and New Zealand Journal of Statistics, 40, 151-163, 1998. doi: 10.1111/1467-842X.00017.

  • S. Kim, R. Huggins. Diagnostics for autocorrelated regression models. Australian and New Zealand Journal of Statistics, 40, 65-71, 1998. doi: 10.1111/1467-842X.00007.

  • R. Huggins, DZ Loesch, SL Sherman. A branching non-linear autoregressive model for the transmission of the fragile X dynamic repeat mutation. Annals of Human Genetics, 62, 337-347, 1998. doi: 10.1017/S0003480098007015.

  • R. Huggins, DZ Loesch. On the analysis of mixed longitudinal growth data. Biometrics, 54, 583-595, 1998. doi: 10.2307/3109765.

  • R. Huggins, DZ Loesch, NH Hoang. A comparison of methods of fitting models to twin data. Australian and New Zealand Journal of Statistics, 40, 129-140, 1998. doi: 10.1111/1467-842X.00015.

  • RG Staudte, R. Huggins, J. Zhang, DE Axelrod, M Kimmel. Estimating clonal heterogeneity and interexperiment variability with the bifurcating autoregressive model for cell lineage data. Mathematical Biosciences, 143, 103-121, 1997. doi: 10.1016/S0025-5564(97)00006-0.

  • R. Huggins, P. Yip. Statistical analysis of removal experiments with the use of auxillary variables. Statistica Sinica, 7, 705-712, 1997.

  • S Sommer, R. Huggins. Variables selection using the Wald test and a Robust Cp. Journal of the Royal Statistical Society. Series C: Applied Statistics, 45, 15-29, 1996.

  • P. Yip, R. Huggins, D. Lin. Inference for capture-recapture experiments in continuous time with variable capture rates. Biometrika, 83, 477-483, 1996. doi: 10.1093/biomet/83.2.477.

  • R. Huggins. On the identifiability of measurement error in the bifurcating autoregressive model. Statistics and Probability Letters, 27, 17-23, 1996. doi: 10.1016/0167-7152(95)00038-0.

  • RG Staudte, J. Zhang, R. Huggins, R Cowan. A reexamination of the cell-lineage data of E. O. Powell. Biometrics, 52, 1214-1222, 1996. doi: 10.2307/2532837.

  • R. Huggins. Robust inference for variance components models for single trees of cell lineage data. Annals of Statistics, 24, 1145-1160, 1996.

  • R. Huggins, DZ Loesch. Use of robust statistical methods to determine the effect of fragile X on means and variance components of a quantitative trait. Genetic Epidemiology, 12, 279-290, 1995. doi: 10.1002/gepi.1370120305.

  • DZ Loesch, R. Huggins, E Rogucka, NH Hoang, J. Hopper. Genetic correlates of menarcheal age: A multivariate twin study. Annals of Human Biology, 22, 479-490, 1995. doi: 10.1080/03014469500004152.

  • R. Huggins. A Law Of Large Numbers For The Bifurcating Autoregressive Process. Communications in Statistics. Stochastic Models, 11, 273-278, 1995. doi: 10.1080/15326349508807345.

  • P. Yip, R. Huggins. Some aspects of inference for chain binomial models. Stochastic Analysis and Applications, 13, 355-367, 1995. doi: 10.1080/07362999508809403.

  • DZ Loesch, J. Hopper, E Rogucka, R. Huggins. Timing and genetic rapport between growth in skeletal maturity and height around puberty: Similarities and differences between girls and boys. American Journal of Human Genetics, 56, 753-759, 1995.

  • DZ Loesch, R. Huggins, NH Hoang. Growth in stature in fragile X families: A mixed longitudinal study. American Journal of Medical Genetics, 58, 249-256, 1995. doi: 10.1002/ajmg.1320580311.

  • DZ Loesch, R. Huggins, V Petrovic, H Slater. Expansion of the CGG repeat in fragile X in the FMR1 gene depends on the sex of the offspring. American Journal of Human Genetics, 57, 1408-1413, 1995.

  • JR Zalcberg, G Pietersz, B Toohey, J Laird, R. Huggins, AS Zimet, O Hennessy, A McKenzie. A phase I II study of the intralesional injection of ricin-monoclonal antibody conjugates in patients with hepatic metastases. European Journal of Cancer, 30, 1227-1231, 1994. doi: 10.1016/0959-8049(94)90163-5.

  • SF Hurley, R. Huggins, DJ Jolley, D Reading. Recruitment activities and sociodemographic factors that predict attendance at a mammographic screening program. American Journal of Public Health, 84, 1655-1658, 1994. doi: 10.2105/AJPH.84.10.1655.

  • R. Huggins. Outlier detection tests based on martingale estimating equations for stochastic processes. Stochastic Processes and their Applications, 53, 393-402, 1994. doi: 10.1016/0304-4149(94)90073-6.

  • R. Huggins, DZ Loesch. Applications of robust estimation for variance components models:the detection of major gene effects in finger ridge counts in normal and fragile X families. Australian Journal of Statistics, 36, 271-286, 1994. doi: 10.1111/j.1467-842X.1994.tb00881.x.

  • R. Huggins, RG Staudte. Variance components models for dependent cell populations. Journal of the American Statistical Association, 89, 19-29, 1994. doi: 10.1080/01621459.1994.10476442.

  • DZ Loesch, R. Huggins, DA Hay, AK Gedeon, JC Mulley, GR Sutherland. Genotype-phenotype relationships in fragile X syndrome: A family study. American Journal of Human Genetics, 53, 1064-1073, 1993.

  • R. Huggins. On the Robust Analysis of Variance Components Models for Pedigree Data. Australian Journal of Statistics, 35, 43-57, 1993. doi: 10.1111/j.1467-842X.1993.tb01311.x.

  • R. Huggins. Asymptotic inference for a class of chain binomial models. Australian Journal of Statistics, 35, 81-87, 1993. doi: 10.1111/j.1467-842X.1993.tb01314.x.

  • DZ Loesch, R. Huggins, Fong Chin Wai, WF Chin. Effect of fragile X on physical and intellectual traits estimated by pedigree analysis. American Journal of Medical Genetics, 46, 415-422, 1993. doi: 10.1002/ajmg.1320460414.

  • R. Huggins. A robust approach to the analysis of repeated measures. Biometrics, 49, 715-720, 1993.

  • DZ Loesch, R. Huggins. Fixed and random effects in the variation of the finger ridge count: A study of fragile-X families. American Journal of Human Genetics, 50, 1067-1076, 1992.

  • JA Feller, JD Parkin, GW Phillips, PJ Hannon, O Hennessy, R. Huggins. Prophylaxis against venous thrombosis after total hip arthroplasty. Australian and New Zealand Journal of Surgery, 62, 606-610, 1992. doi: 10.1111/j.1445-2197.1992.tb07530.x.

  • DZ Loesch, M Lafranchi, R. Huggins. A new anthropometric scale for discrimination between sexes. Annals of Human Biology, 19, 177-184, 1992. doi: 10.1080/03014469200002052.

  • SF Hurley, R. Huggins, RD Snyder, JF Bishop. The cost of breast cancer recurrences. British Journal of Cancer, 65, 449-455, 1992. doi: 10.1038/bjc.1992.91.

  • R. Huggins. Fixed accuracy estimation for chain binomial models. Stochastic Processes and their Applications, 41, 273-280, 1992. doi: 10.1016/0304-4149(92)90127-C.

  • BL Samuels, MJ Ratain, JR Zalcberg, X. Hu, R. Huggins, M De Luise. Correspondence re: Xiu F. Hu et al., combined use of cyclosporin A and verapamil in modulating multidrug resistance in human leukemia cell lines. Cancer Res., 50: 2953-2957, 1990. [1]. Cancer Research, 51, 1749-1750, 1991.

  • R. Huggins. Some practical aspects of a conditional likelihood approach to capture experiments. Biometrics, 47, 725-732, 1991.

  • R. Huggins, IC Marschner. Robust analysis of the bifurcating autoregressive model in cell lineage studies. Australian Journal of Statistics, 33, 209-220, 1991. doi: 10.1111/j.1467-842X.1991.tb00428.x.

  • X. Hu, G Nadalin, M Deluise, TJ Martin, A Wakeling, R. Huggins, JR Zalcberg, M De Luise. Circumvention Of Doxorubicin Resistance In Multidrug Resistant Human Leukemia and Lung-Cancer Cells by the Pure Antiestrogen ICI-164384. European Journal of Cancer, 27, 773-777, 1991. doi: 10.1016/0277-5379(91)90187-I.

  • R. Huggins. The sign test for stochastic processes. Australian Journal of Statistics, 31, 153-165, 1989. doi: 10.1111/j.1467-842X.1989.tb00509.x.

  • R. Huggins. On the statistical analysis of capture experiments. Biometrika, 76, 133-140, 1989. doi: 10.1093/biomet/76.1.133.

  • IV Basawa, R. Huggins, RG Staudte. Robust tests for time series with an application to first-order autoregressive processes. Biometrika, 72, 559-571, 1985. doi: 10.1093/biomet/72.3.559.

  • R. Huggins. On functional laws of the iterated logarithm. Zeitschrift für Wahrscheinlichkeitstheorie und Verwandte Gebiete, 69, 243-250, 1985. doi: 10.1007/BF02450282.

  • AH Campbell, CE Barter, R. Huggins. Factors affecting the decline of ventilatory function in chronic bronchitis. Thorax, 40, 741-748, 1985. doi: 10.1136/thx.40.10.741.