
Dr. (Ms.) Devindri Perera
Dr. (Ms.) Devindri Perera
Teaching Subjects
- Biostatistics
- Stochastic Processes
- Statistical Design and Inference
- Data Science
Research Topics
- Applied statistics
- Saddlepoint approximations
Professional Contributions
Publications
- E. J. Crispe, C. J. Secombe, D. I. Perera, A. A. Manderson, B. A. Turlach, and G. D. Lester, “Exercise-induced pulmonary haemorrhage in Thoroughbred racehorses: a longitudinal study,” Equine Veterinary Journal, vol. 51, no. 1, pp. 45–51, 2019, doi: https://doi.org/10.1111/evj.12957.
- D. P. Byrne, C. J. Secombe, R. H. H. Tan, D. I. Perera, S. P. Watts, and J. G. Wearn, “Circannual variability in adrenocorticotropic hormone responses to administration of thyrotropin-releasing hormone in clinically normal horses in Australia,” The Veterinary Journal, vol. 238, pp. 58–62, Aug. 2018, doi: 10.1016/j.tvjl.2018.07.008.
- C. J. Secombe, R. H. H. Tan, D. I. Perara, D. P. Byrne, S. P. Watts, and J. G. Wearn, “The Effect of Geographic Location on Circannual Adrenocorticotropic Hormone Plasma Concentrations in Horses in Australia,” Journal of Veterinary Internal Medicine, vol. 31, no. 5, pp. 1533–1540, 2017, doi: https://doi.org/10.1111/jvim.14782.
- P. R. Ghosh, D. Fawcett, D. Perera, S. B. Sharma, and G. E. J. Poinern, “Horticultural Loss Generated by Wholesalers: A Case Study of the Canning Vale Fruit and Vegetable Markets in Western Australia,” Horticulturae, vol. 3, no. 2, Art. no. 2, Jun. 2017, doi: 10.3390/horticulturae3020034.
- E. J. Crispe, G. D. Lester, C. J. Secombe, and D. I. Perera, “The association between exercise-induced pulmonary haemorrhage and race-day performance in Thoroughbred racehorses,” Equine Veterinary Journal, vol. 49, no. 5, pp. 584–589, 2017, doi: https://doi.org/10.1111/evj.12671.
- E. J. Crispe, G. D. Lester, C. J. Secombes, and D. I. Perera, “Exercise-induced pulmonary haemorrhage affects raceday performance in thoroughbred horses,” Veterinary Record, vol. 180, no. 11, pp. 1–2, 2017.
- P. R. Ghosh, D. Fawcett, S. B. Sharma, D. Perera, and G. E. J. Poinern, “Survey of food waste generated by Western Australian fruit and vegetable producers: Options for minimization and utilization,” Food and Public Health, vol. 6, no. 5, Art. no. 5, 2016.
- N. A. Patsopoulos and P. I. W. de Bakker, “Genome-wide meta-analysis identifies novel multiple sclerosis susceptibility loci,” Annals of Neurology, vol. 70, no. 6, pp. 897–912, 2011, doi: https://doi.org/10.1002/ana.22609.
- E. Tegg et al., “Whole genome sequencing of CLL case,” in GeneMappers, 2011, vol., p., Accessed: Dec. 06, 2020. [Online]. Available: http://ecite.utas.edu.au/71307.
- E. Tegg et al., “Familial Haematological malignancies: The Tasmanian experience,” in Haematology Society of Australia and New Zealand, Australia and New Zealand Society for Blood Transfusion & Australasian Society for Thrombosis and Homeostasis, 2010, vol., p., Accessed: Dec. 06, 2020. [Online]. Available: http://ecite.utas.edu.au/71312.
- M. Bahlo et al., “Genome-wide association study identifies new multiple sclerosis susceptibility loci on chromosomes 12 and 20,” Nature Genetics, vol. 41, no. 7, Art. no. 7, Jul. 2009, doi: 10.1038/ng.396.
- D. Perera et al., “Fine mapping of multiple sclerosis susceptibility genes provides evidence of allelic heterogeneity at the IL2RA locus,” Journal of Neuroimmunology, vol. 211, no. 1, pp. 105–109, Jun. 2009, doi: 10.1016/j.jneuroim.2009.03.010.
- J. Dickinson et al., “Past environmental sun exposure and risk of multiple sclerosis: a role for the Cdx-2 Vitamin D receptor variant in this interaction,” Mult Scler, vol. 15, no. 5, pp. 563–570, May 2009, doi: 10.1177/1352458509102459.
- D. Mason et al., “Genome-wide association study identifies new multiple sclerosis susceptiblity loci on chromosomes 12 and 20,” 2009, doi: 10.1038/ng.396.
- E. Tegg et al., “Familial Haematological Malignancies,” in GeneMappers, 2009, vol., p., Accessed: Dec. 06, 2020. [Online]. Available: http://ecite.utas.edu.au/71316.
- D. I. Perera, M. S. Peiris, J. Robinson, and N. C. Weber, “The empirical saddlepoint method applied to testing for serial correlation in panel time series data,” Statistics & Probability Letters, vol. 78, no. 17, pp. 2876–2882, Dec. 2008, doi: 10.1016/j.spl.2008.04.010.
- J. P. Rubio et al., “Replication of KIAA0350, IL2RA, RPL5 and CD58 as multiple sclerosis susceptibility genes in Australians,” Genes & Immunity, vol. 9, no. 7, Art. no. 7, Oct. 2008, doi: 10.1038/gene.2008.59.
- E. Tegg et al., “The Tasmanian familial leukaemia and lymphoma research study,” in GeneMappers, 2007, vol., p., Accessed: Dec. 06, 2020. [Online]. Available: http://ecite.utas.edu.au/71326.
- D. Perera et al., “Linkage analysis of a large Tasmanian haematological cancer family,” in GeneMappers, 2007, vol., p., Accessed: Dec. 06, 2020. [Online]. Available: http://ecite.utas.edu.au/71325.
- D. I. Perera, M. S. Peiris, J. Robinson, and N. C. Weber, “Saddlepoint approximation methods for testing of serial correlation in panel time series data,” Journal of Statistical Computation and Simulation, vol. 76, no. 11, pp. 1001–1013, Nov. 2006, doi: 10.1080/10629360600569261.
- D. I. Perera and M. S. Peiris, “Testing for serial correlation in large numbers of small samples,” presented at the 1st International Statistical Conference, Peradeniya, Sri Lanka, 2004, Accessed: Dec. 06, 2020. [Online]. Available: https://researchrepository.murdoch.edu.au/id/eprint/38477/.
- D. Perera, S. Peiris, and N. Weber, “A note on the distribution of serial correlation in large number of small samples,” in Current Research in Modeling, Data Mining and Quantative Techniques, V. Pemajayantha, R. Mellor, S. Peiris, and J. Rajasekera, Eds. Blacktown, N.S.W: Western Sydney University. Modelling and Simulation Research, 2003, pp. 172–192.
- EJ Crispe, CJ Secombe, DI Perera “ANIMALS USED FOR SPORT, ENTERTAINMENT, RECREATION AND WORK”
Awards