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  Precombine: A command to examine n ≥ 2 datasets before combining

  Chatfield, M. D., 2015, In: The Stata Journal. 15, 3, p. 607-626 20 p., dm0081.

  Research output: Contribution to journal › Article › peer-review

• Preconception care for women with type 2 diabetes mellitus: A mixed-methods study of provider knowledge and practice

  Klein, C. J., Boyle, J. A., Kirkham, R., CONNORS, C., Whitbread, C., Oats, J. J. N., Barzi, F., McIntyre, D., Lee, I., Luey, M., Shaw, J., Brown, A. & Maple-Brown, L. J., Jul 2017, In: Diabetes Research and Clinical Practice. 129, p. 105-115 11 p.

  Research output: Contribution to journal › Article › peer-review

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• Precooling for Performance in the Tropics

  Brearley, M. & Finn, J., 2003, In: Sportscience. 7, p. 1-5 5 p.

  Research output: Contribution to journal › Article › peer-review

• Precursory effects on entrepreneurial behaviour in the agri-food industry

  Yaseen, A., Saleem, M. A., Zahra, S. & Israr, M., 1 Jan 2018, In: Journal of Entrepreneurship in Emerging Economies. 10, 1, p. 2-22 21 p.

  Research output: Contribution to journal › Article › peer-review

• Pre-Dalslandian deformation and recrystallization in the basement of the Dalslandian Supracrustals, Grenvillian (Sveconorwegian) Belt, Southwest Sweden

  Jakobsen, H., Munksgaard, N. & Zeck, H. P., 1983, In: Geologiska Foreningens i Stockholm Forhandlinger. 105, 3, p. 205-212 8 p.

  Research output: Contribution to journal › Article › peer-review

• Predation by introduced cats Felis catus on Australian frogs: Compilation of species records and estimation of numbers killed

  Woinarski, J. C. Z., Legge, S. M., Woolley, L. A., Palmer, R., Dickman, C. R., Augusteyn, J., Doherty, T. S., Edwards, G., Geyle, H., McGregor, H., Riley, J., Turpin, J. & Murphy, B. P., Oct 2020, In: Wildlife Research. 47, 8, p. 580-588 9 p.

  Research output: Contribution to journal › Article › peer-review

• Predation by the saltwater crocodile (Crocodylus porosus) on sea turtle adults, eggs, and hatchlings

  Whiting, S. & Whiting, A., 1 Dec 2011, In: Chelonian Conservation and Biology. 10, 2, p. 198-205 8 p.

  Research output: Contribution to journal › Article › peer-review

• Predation of artificial ground nests in Australian tropical savannas: inverse edge effects

  Fraser, F. & Whitehead, P., 2005, In: Wildlife Research. 32, 4, p. 313-319 7 p.

  Research output: Contribution to journal › Article › peer-review

• Predator satiation and recruitment in a mast fruiting monocarpic forest herb

  Tsvuura, Z., Griffiths, M. E., Gunton, R. & Lawes, M., Mar 2011, In: Annals of Botany. 107, 3, p. 379-387 9 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Predators shape sedimentary organic carbon storage in a coral reef ecosystem

  Atwood, T. B., Madin, E. M. P., Harborne, A. R., Hammill, E., Luiz, O. J., Ollivier, Q. R., Roelfsema, C. M., Macreadie, P. I. & Lovelock, C. E., 3 Aug 2018, In: Frontiers in Ecology and Evolution. 6, AUG, p. 1-11 11 p., 110.

  Research output: Contribution to journal › Article › peer-review

  Open Access

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• Pre-deployment Heat Acclimatization Guidelines for Disaster Responders

  Brearley, M. B., 2015, In: Prehospital and Disaster Medicine. 31, 1, p. 85-89 5 p.

  Research output: Contribution to journal › Article › peer-review

• Prediabetes and cardiovascular complications study (PACCS): International collaboration 4 years' summary and future direction

  Nwose, E. U., Richards, R. S., Bwititi, P. T., Igumbor, E. O., Oshionwu, E. J., Okolie, K., Onyia, I. C., Pokhrel, A., Gyawali, P., Okuzor, J. N., Oguoma, V., Gardiner, F. W. & Wang, L., 11 Dec 2017, In: BMC Research Notes. 10, 1, p. 1-6 6 p., 730.

  Research output: Contribution to journal › Article › peer-review

  Open Access

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• Predictability of Recurrence using Immunohistochemistry to delineate Surgical Margins in mucosal Head and Neck Squamous Cell Carcinoma (PRISM-HNSCC): study protocol for a prospective, observational and bilateral study in Australia and India

  Joseph, S., Janakiraman, R., Chacko, G., Jayaraj, R., Thomas, M., Thomas, M. & Mukhopadhyay, S., 1 Oct 2017, In: BMJ Open. 7, 10, p. 1-7 7 p., e014824.

  Research output: Contribution to journal › Article › peer-review

  Open Access

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• Predicting Absolute Risk of Type 2 Diabetes Using Age and Waist Circumference Values in an Aboriginal Australian Community

  Adegbija, O., Hoy, W. & Wang, Z., 2015, In: PLoS One. 10, 4, e0123788.

  Research output: Contribution to journal › Article › peer-review

  Open Access

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• Predicting Alcohol Pre-Drinking in Australian Undergraduate Students Using an Integrated Theoretical Model

  Caudwell, K. M. & Hagger, M. S., 1 Jul 2015, In: Applied Psychology: Health and Well-Being. 7, 2, p. 188-213 26 p.

  Research output: Contribution to journal › Article › peer-review

• Predicting avian distributions to evaluate spatiotemporal overlap with locust control operations in eastern Australia

  Szabo, J., Davy, P., Hooper, M. J. & Astheimer, L. B., 2009, In: Ecological Applications. 19, 8, p. 2026-2037 12 p.

  Research output: Contribution to journal › Article › peer-review

• Predicting community earthquake preparedness: A cross-cultural comparison of Japan and New Zealand

  Paton, D., Bajek, R., Okada, N. & McIvor, D., 2010, In: Natural Hazards. 54, 3, p. 765-781 17 p.

  Research output: Contribution to journal › Article › peer-review

• Predicting delay in residents' decisions on defending v. evacuating through antecedents of decision avoidance

  McNeill, I., Dunlop, P., Skinner, T. & Morrison, D., 2015, In: International Journal of Wildland Fire. 24, 2, p. 153-161 9 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Predicting folivorous primate abundance: Validation of a nutritional model

  Chapman, C., Chapman, L., NAUGHTON-TREVES, L., Lawes, M. & McDowell, L., 2004, In: American Journal of Primatology. 62, 2, p. 55-69 15 p.

  Research output: Contribution to journal › Article › peer-review

• Predicting high temperature mechanical properties of CrN and CrAlN coatings from in-situ synchrotron radiation X-ray diffraction

  Mohammadpour, E., Jiang, Z. T., Altarawneh, M., Xie, Z., Zhou, Z. F., Mondinos, N., Kimpton, J. & Dlugogorski, B. Z., 29 Jan 2016, In: Thin Solid Films. 599, January, p. 98-103 6 p.

  Research output: Contribution to journal › Article › peer-review

• Predicting intention to quit in the call centre industry: does the retail model fit?

  Zhong, M., MELLOR, D., Moore, K. & Firth, L., 2006, In: Journal of Managerial Psychology. 21, 3, p. 231-243 13 p.

  Research output: Contribution to journal › Article › peer-review

• Predicting Intention to Use Nicotine Replacement Therapy in People Attending Residential Treatment for Substance Dependence

  Kelly, P. J., Townsend, C. J., Osborne, B. A., Baker, A. L., Deane, F. P., Keane, C., Ingram, I. & Lunn, J., 3 Apr 2018, In: Journal of Dual Diagnosis. 14, 2, p. 120-129 10 p.

  Research output: Contribution to journal › Article › peer-review

• Predicting likelihood of legitimate data loss in email DLP

  Faiz, M. F., Arshad, J., Alazab, M. & Shalaginov, A., Sep 2020, In: Future Generation Computer Systems. 110, p. 744-757 14 p.

  Research output: Contribution to journal › Article › peer-review

• Predicting multiple criteria of criminal behavior with HEXACO domains and facets

  Petrovic, B., Medjedovic, J., Savic, M. & Zeleskov Doric, J., 2014, In: Personality and Individual Differences. 60, Supplement, p. S40-S40 1 p.

  Research output: Contribution to journal › Article › peer-review

• Predicting Novel Riparian Ecosystems in a Changing Climate

  Catford, J. A., Naiman, R. J., Chambers, L. E., Roberts, J., Douglas, M. & Davies, P., 2013, In: Ecosystems. 16, 3, p. 382-400 19 p.

  Research output: Contribution to journal › Article › peer-review

• Predicting positive and negative change in expeditioners at 2-months and 12-months post Antarctic employment

  Moult, C., Norris, K., Paton, D. & Ayton, J., 2015, In: The Polar Journal . 5, 1, p. 128-145 18 p.

  Research output: Contribution to journal › Article › peer-review

• Predicting Problem Gambling Severity: Interplay between Emotion Dysregulation and Gambling-related Cognitions

  Buen, A. & Flack, M., 31 May 2021, In: Journal of Gambling Studies. p. 1-16 16 p.

  Research output: Contribution to journal › Article › peer-review

• Predicting Risk-Mitigating Behaviors From Indecisiveness and Trait Anxiety: Two Cognitive Pathways to Task Avoidance

  McNeill, I. M., Dunlop, P., Skinner, T. & Morrison, D. L., Feb 2016, In: Journal of Personality. 84, 1, p. 36-45 10 p.

  Research output: Contribution to journal › Article › peer-review

• Predicting spatio-temporal distribution for eastern Australian birds using Birds Australia's Atlas data: Survey method, habitat and seasonal effects

  Szabo, J., Davy, P., Hooper, M. J. & Astheimer, L. B., 2007, In: Emu. 107, 2, p. 89-99 11 p.

  Research output: Contribution to journal › Article › peer-review

• Predicting species distributions for conservation decisions

  Guisan, A., Tingley, R., Baumgartner, J., Naujokaitis-Lewis, I., Sutcliffe, P., Tulloch, A., Regan, T., Brotons, L., McDonald-Madden, E., Mantyka-Pringle, C., Martin, T., Rhodes, J., Maggini, R., Setterfield, S., Elith, J., Schwartz, M., Wintle, B., Broennimann, O., Austin, M., Ferrier, S. & 3 others, Kearney, M., Possingham, H. & Buckley, Y., 2013, In: Ecology Letters. 16, 12, p. 1424-1435 12 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

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• Predicting the causative pathogen among children with osteomyelitis using Bayesian networks – improving antibiotic selection in clinical practice

  Wu, Y., McLeod, C., Blyth, C., Bowen, A., Martin, A., Nicholson, A., Mascaro, S. & Snelling, T., Jul 2020, In: Artificial Intelligence in Medicine. 107, p. 1-11 11 p., 101895.

  Research output: Contribution to journal › Article › peer-review

• Predicting the Clinical Outcome of Severe Falciparum Malaria in African Children: Findings From a Large Randomized Trial

  Von Seidlein, L., Olaosebikan, R., Hendriksen, I., Lee, S. J., Adedoyin, O. T., Agbenyega, T., Nguah, S. B., Bojang, K., Deen, J., Evans, J., Fanello, C., Gomes, E., Pedro, A., Kahabuka, C., Karema, C., Kivaya, E., Maitland, K., Mokuolu, O. A., Mtove, G., Mwanga-Amumpaire, J. & 13 others, Nadjm, B., Nansumba, M., Ngum, W. P., Onyamboko, M. A., Reyburn, H., Sakulthaew, T., Silamut, K., Tshefu, A. K., Umulisa, N., Gesase, S., Day, N., White, N. J. & Dondorp, A., 15 May 2012, In: Clinical Infectious Diseases. 54, 8, p. 1080-1090 11 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

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• Predicting the geographical distributions of the macaque hosts and mosquito vectors of Plasmodium knowlesi malaria in forested and non-forested areas

  Moyes, C., Shearer, FM., Huang, Z., Wiebe, A., Gibson, H. S., Nijman, V., Mohd-Azlan, J., Brodie, J., Malaivijitnond, S., Linkie, M., Samejima, H., O'Brien, T. G., Trainor, C., Hamada, Y., Giordano, A., Kinnaird, MF., Elyazar, I., Sinka, M., Vythilingam, I., Bangs, M. & 4 others, Pigott, D. M., Weiss, D. J., Golding, N. & Hay, S., 2016, In: Parasites and Vectors. 9, 1, p. 1-12 12 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

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• Predicting the impact of pneumococcal conjugate vaccine programme options in Vietnam

  Le Polain De Waroux, O., Edmunds, W. J., Takahashi, K., Ariyoshi, K., Mulholland, E. K., Goldblatt, D., Choi, Y. H., Anh, D. D., Yoshida, L. M. & Flasche, S., 2018, In: Human Vaccines and Immunotherapeutics. 14, 8, p. 1939-1947 9 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

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• Predicting the Influence of Streamflow on Migration and Spawning of a Threatened Diadromous Fish, the Australian Grayling Prototroctes Maraena

  Koster, W. M., Crook, D. A., Dawson, D. R., Gaskill, S. & Morrongiello, J. R., Mar 2018, In: Environmental Management. 61, 3, p. 443-453 11 p.

  Research output: Contribution to journal › Article › peer-review

• Predicting the potential distribution of the beaded lizard and identification of priority areas for conservation

  Domiguez-Vega, H., Monroy-Vilchis, O., Balderas-Valdivia, C., Gienger, C. & Ariano-sanchez, D., Aug 2012, In: Journal for Nature Conservation. 20, 4, p. 247-253 7 p.

  Research output: Contribution to journal › Article › peer-review

• Predicting the probability of large carnivore occurrence: A strategy to promote crocodile and human coexistence

  Campbell, H., Dwyer, R., Wilson, H., Irwin, T. & Franklin, C., Aug 2015, In: Animal Conservation. 18, 4, p. 387-395 9 p.

  Research output: Contribution to journal › Article › peer-review

• Predicting the spatial distribution of gambling vulnerability: An application of gravity modeling using ABS Mesh Blocks

  DORAN, B. & Young, M., 2009, In: Applied Geography. 30, 1, p. 141-152 12 p.

  Research output: Contribution to journal › Article › peer-review

• Predicting the Timing and Magnitude of Tropical Mosquito Population Peaks for Maximizing Control Efficiency

  YANG, G., BROOK, B. & Bradshaw, C., 2009, In: PLoS Neglected Tropical Diseases. 3, 2, p. e385-

  Research output: Contribution to journal › Article › peer-review

• Predicting total lengths of spectacled Caiman (Caiman crocodilus) from skin measurements: A tool for managing the skin trade

  Webb, G., Brien, M., Manolis, C. & Medrano-Bitar, S., 2012, In: Herpetological Conservation and Biology. 7, 1, p. 16-26 11 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Predicting undergraduate nursing students’ willingness to care for older adults: A multicenter cross-sectional study in Asia

  Liu, X-L., Cheng, H. L. & Lam, S. C., 6 May 2021, In: Nursing Open. p. 1-10 10 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

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• Predicting uptake of continuous positive airway pressure (CPAP) therapy in obstructive sleep apnoea (OSA): a belief-based theoretical approach

  Skinner, T., McNeil, L., Olaithe, M., Eastwood, P., Hillman, D., Phang, J., de Regt, T. & Bucks, R., Dec 2013, In: Sleep and Breathing. 17, 4, p. 1229-1240 12 p.

  Research output: Contribution to journal › Article › peer-review

• Predicting vicarious traumatization in those indirectly exposed to bushfires

  Byrne, M. K., Lerias, D. & Sullivan, N. L., Aug 2006, In: Stress and Health. 22, 3, p. 167-177 11 p.

  Research output: Contribution to journal › Article › peer-review

• Prediction of cardiovascular disease risk using waist circumference among Aboriginals in a remote Australian community

  Wang, Z., 31 Jan 2015, In: BMC Public Health. 15, p. 1-9 9 p., 57.

  Research output: Contribution to journal › Article › peer-review

  Open Access

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• Prediction of energy consumption and evaluation of affecting factors in a full-scale WWTP using a machine learning approach

  Bagherzadeh, F., Nouri, A. S., Mehrani, M-J. & Thennadil, S., Oct 2021, In: Process Safety and Environmental Protection. 154, p. 458-466 9 p.

  Research output: Contribution to journal › Article › peer-review

• Prediction of kidney-related outcomes in patients with type 2 diabetes

  Jardine, M., Hata, J., Woodward, M., Perkovic, V., Ninomiya, T., Arima, H., Zoungas, S., Cass, A., Patel, A., Marre, M., Mancia, G., Mogensen, C., Poulter, N. & Chalmers, J., 2012, In: American Journal of Kidney Diseases. 60, 5, p. 770-778 9 p.

  Research output: Contribution to journal › Article › peer-review

• Prediction of Landsliding using Univariate Forecasting Models

  Aggarwal, A., Rani, A., Sharma, P., Kumar, M., Shankar, A. & Alazab, M., Sep 2020, In: Internet Technology Letters. p. 1-6 6 p., e209.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Prediction of track performance in competitive BMX riders using laboratory measures

  Gahreman, D., 30 Jun 2020, In: Journal of Science and Cycling. 9, 1, p. 44-56 13 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

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• Prediction versus reality: The use of mathematical models to predict elite performance in swimming and athletics at the Olympic Games

  Heazlewood, I., 2006, In: Journal of Sports Science and Medicine. 5, p. 541-547 7 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Predictive analysis across spatial scales links zoonotic malaria to deforestation

  Brock, P. M., Fornace, K. M., Grigg, M. J., Anstey, N. M., William, T., Cox, J., Drakeley, C. J., Ferguson, H. M. & Kao, R. R., 16 Jan 2019, In: Proceedings of the Royal Society B: Biological Sciences. 286, 1894, p. 1-9 9 p., 20182351.

  Research output: Contribution to journal › Article › peer-review

  Open Access