Pepe Romeo — SHORE & Whariki Research Centre

Dr Jose Romeo (Pepe), PhD

Dr Jose Romeo (Pepe), is a researcher in Statistics, specialised in multivariate survival analysis and interested in applying statistical models for decision making in public health and social sciences. He holds a Statistical Engineering degree from the University of Santiago, Chile, and a PhD degree in Statistics from the University of Sao Paulo, Brazil.

Since December 2016, He has been working at SHORE & Whariki Research Centre providing statistical expertise on quantitative research projects led by social scientists and public health researchers on topics including alcohol consumption, alcohol policy, drugs trends and Maori attitudes towards alcohol. His role includes providing advice on research design and analyses as grant applications are developed, data management and statistical analyses on current research and collaborating on the dissemination of findings through monographs and peer reviewed publications.

Email: j.romeo@massey.ac.nz

Commentary

Huckle, T., & Romeo, J. (2023, April 28). Study reveals at least 11% of child maltreatment in NZ could be due to heavy drinking by caregivers. The Conversation. https://theconversation.com/study-reveals-at-least-11-of-child-maltreatment-in-nz-could-be-due-to-heavy-drinking-by-caregivers-204113

journal articles

Casswell, S., Huckle, T., Romeo, J. S., Moewaka Barnes, H., Connor, J., & Rehm, J. (2024). Quantifying alcohol-attributable disability-adjusted life years to others than the drinker in Aotearoa/New Zealand: A modelling study based on administrative data. Addiction, published online 26 February, https://doi.org/10.1111/add.16435.

Rychert, M., Romeo, J. S., & Wilkins, C. (2023). Exploring Differences in Daily Vaping of Nicotine and Cannabis among People Who Use Drugs in New Zealand. Substance Use & Misuse, 58(11), 1388-1398. https://doi.org/10.1080/10826084.2023.2223276 A601

Romeo, J., Huckle, T., Casswell, S., Connor, J., Rehm, J., & McGinn, V. (2023). Fetal Alcohol Spectrum Disorder in Aotearoa, New Zealand: estimates of prevalence and indications of inequity. Drug and Alcohol Review, published online ahead of print Feb 21, doi: 10.1111/dar.13619 A579

Huckle, T., & Romeo, J. (2022). Estimating child maltreatment cases that could be alcohol-attributable in New Zealand. Addiction, published online December 16. doi: 10.1111/add.16111 A575

Lin, E.-Y., Witten, K., Carroll, P., Romeo, J. S., Donnellan, N., & Smith, M. (2022). The relationship between children’s third-place play, parental neighbourhood perceptions, and children’s physical activity and sedentary behaviour. Children's Geographies, published online Sept 27, 1-14, doi: 10.1080/14733285.2022.2121913 A580

Leung, J. Y. Y., Casswell, S., Parker, K., Huckle, T., Romeo, J., Graydon-Guy, T., Byron, K., Callinan, S., Chaiyasong , S., Gordon, R., Harker, N., Mackintosh, A. M., Meier, P., Paraje, G., Parry, C. D. H., Cuong Pham, Petersen Williams, P., Randerson, S., Schelleman-Offermans, K., . . . van Dalen, W. (2023). Effective alcohol policies and lifetime abstinence: an analysis of the International Alcohol Control (IAC) Policy Index. Drug and Alcohol Review, 42(3), 704-713. https://onlinelibrary.wiley.com/doi/full/10.1111/dar.13582

Casswell S., Huckle T., Parker K., Romeo J., Graydon-Guy T., Leung J., Byron, K., Callinan, S., Chaiyasong, S., Gordon, R., MacKintosh, A. M., Meier, P., Paraje, G., Parry, C. D. H., Pham, C., Petersen Williams, P., Randerson, S., Schelleman-Offermans, K., Sengee, G., Torun, P., van Dalen, W., Harker, N. (2022) Benchmarking alcohol policy based on stringency and impact: The International Alcohol Control (IAC) policy index. PLOS Global Public Health 2(4): e0000109. https://doi.org/10.1371/journal.pgph.0000109

Connor, J., Maclennan, B., Huckle, T., Romeo, J.S., Davie, G. and Kypri, K. (2021). Changes in the incidence of assault after restrictions on late-night alcohol sales in New Zealand: Evaluation of a natural experiment using hospitalisation and police data. Addiction, 116(4), 788-798.

van der Sanden, R., Wilkins, C., Romeo, J., Rychert, M., Barratt M. (2021). Predictors of using social media to purchase drugs in New Zealand: Findings from a large-scale online survey. International Journal of Drug Policy, 98, 103430. doi: 10.1016/j.drugpo.2021.103430 A543

Huckle, T., Parker, K., Romeo, J., & Casswell, S. (2020). Online alcohol delivery is associated with heavier drinking during the first New Zealand COVID-19 pandemic restrictions. Drug and Alcohol Review, published online Nov 30. doi 10.1111/dar.13222. A504

Wilkins, C., Romeo, J.S., Rychert, M., & Graydon-Guy, T. (2020). Determinants of the retail price of illegal drugs in New Zealand. International Journal of Drug Policy. Published online ahead of print April 10, doi: 10.1016/j.drugpo.2020.102728. A489

Rychert, M., Romeo, J. S., Wilkins, C., & Graydon-Guy, T. (2020). Could the community trust model be applied to regulate cannabis? Findings from a survey of two alcohol licensing trust communities in New Zealand. Drugs: Education, Prevention and Policy, 1-9. doi:10.1080/09687637.2019.1707776 A487

Gallardo, D., Bolfarine, H., Pedroso-de-Lima, A.C. and Romeo, J.S. (2019). Destructive power series long-term survival model with complex activation schemes. Statistics and Its Interface, 12(4), 561-571.

Huckle, T., Romeo, J. S., Casswell, S. (2019). A restrictive alcohol supply law change is associated with less supply to friends under 18 years. Drug and Alcohol Review, 38, 737-743.

Vasquez, C., Salinas, V.H. and Romeo, J.S. (2019). Bayesian estimation of the limiting availability in a repairable one-unit system. Colombian Journal of Statistics, 42(1), 123-142.

Wilkins, C., Rychert, M., Romeo, J., & Randerson, S. (2019). Smoke in our eyes: the Sense Partners’ evaluation of the legalisation of cannabis in New Zealand [Editorial]. New Zealand Medical Journal, 132(1490), 6-9. https://www.nzma.org.nz/journal/read-the-journal/all-issues/2010-2019/2019/vol-2132-no-1490-2022-february-2019/7811. A456

Wilkins, C., Romeo, J., Rychert, M., Prasad, J., & Graydon-Guy, T. (2018). Determinants of high availability of methamphetamine, cannabis, LSD and ecstasy in New Zealand: Are drug dealers promoting methamphetamine rather than cannabis? International Journal of Drug Policy, 61, 15-22. doi: 10.1016/j.drugpo.2018.09.007. A455

Huckle, T., Romeo, J., Wall, M., Callinan, S., Holmes, J., Meier, P., Mackintosh, A.-M., Piazza, M., Chaiyasong, S., Cuong, P. V., Casswell, S. (2018). Socio-economic disadvantage is associated with heavier drinking in high but not middle-income countries participating in the International Alcohol Control (IAC) Study. Drug and Alcohol Review, published online Apr 30. https://onlinelibrary.wiley.com/doi/10.1111/dar.12810. A437

Romeo, J.S., Meyer, R. and Gallardo, D.I. (2018). Bayesian bivariate survival analysis using the power variance function copula. Lifetime Data Analysis, 24, 355-383.

Gallardo, D.I., Romeo, J.S. and Meyer, R. (2017). A simplified estimation procedure based on the EM algorithm for the power series cure rate model. Communications in Statistics - Simulation and Computation, 46(8), 6342-6359.

Poshdar, M., Gonzalez, V.A., Raftery, G.M., Orozco, F., Romeo, J.S. and Forcael, E. (2016). A probabilistic-based method to determine optimum size of project buffer in construction schedules. Journal of Construction Engineering and Management, 142(10), 04016046.

Meyer, R. and Romeo, J.S. (2015). Bayesian semiparametric analysis of recurrent failure time data using copulas. Biometrical Journal, 57, 982-1001.

Romeo, J.S. and Meyer, R. (2015). Bayesian approach for modelling bivariate survival data through the PVF copula. In Friedl, H. and Wagner, H. (Eds.), Proceedings of the 30th International Workshop on Statistical Modelling, vol. 2. Linz, Austria, 239-242.

Reyes-Lopez, F.E., Romeo, J.S., Vallejos-Vidal, E., Reyes-Cerpa, S., Sandino, A.M., Tort, L., Mackenzie, S. and Imarai, M. (2015). Differential immune gene expression profiles in susceptible and resistant full-sibling families of Atlantic salmon (Salmo salar) challenged with infectious pancreatic necrosis virus (IPNV). Developmental & Comparative Immunology, 53, 210-221.

Romeo, J.S., Meyer, R. and Reyes-Lopez, F. (2014). Hierarchical failure time regression using mixtures for classification of the immune response of Atlantic salmon. Journal of Agricultural, Biological, and Environmental Statistics, 19(4), 501-521.

Roman, S.T., Romeo, J.S. and Salinas, V.H. (2014). Bayesian estimation of the limiting availability in the presence of right-censored data. METRON, 72, 247-267.

Bazan, J.L., Romeo, J.S. and Rodrigues, J. (2014). Bayesian skew-probit regression for binary response data. Brazilian Journal of Probability and Statistics, 28, 467-482.

Torres-Aviles, F., Romeo, J.S. and Lopez-Kleine, L. (2014). Data mining and influential analysis of gene expression data for plant resistance genes identification in tomato (Solanum lycopersicum). Electronic Journal of Biotechnology, 17, 79-82.

Lopez-Kleine, L., Romeo, J.S. and Torres-Aviles, F. (2013). Gene functional prediction using clustering methods for the analysis of tomato microarray data. In Mohamad, M.S., Nanni, L., Rocha, M.P. and Fdez-Riverola, F. (Eds.), 7th International Conference on Practical Applications of Computational Biology & Bioinformatics, Advances in Intelligent Systems and Computing, vol. 222. Springer International Publishing, Switzerland, 1-6.

Romeo, J.S., Torres-Aviles, F. and Lopez-Kleine, L. (2013). Detection of influent virulence and resistance genes in microarray data through quasi likelihood modeling. Molecular Genetics and Genomics, 288, 49-61.

Romeo, J.S., Tanaka, N.I., Pedroso-de-Lima, A.C. and Salinas-Torres, V.H. (2013). Large sample properties for a class of copulas in bivariate survival analysis. Metrika, 76, 997-1015.

Salinas, V.H., Romeo, J.S. and Pena, J.A. (2010). On Bayesian estimation of a survival curve: comparative study and examples. Computational Statistics, 25, 375-389.

Diaz-Ledezma, C., Urrutia, J., Romeo, J.S., Chelen, A., Gonzalez-Wilhelm, L. and Lavarello, C. (2009). Factors associated with variability in length of sick leave because of acute low back pain in Chile. The Spine Journal, 9, 1010-1015.

Romeo, J.S., Tanaka, N.I. and Pedroso-de-Lima, A.C. (2006). Bivariate survival modeling: A Bayesian approach based on copulas. Lifetime Data Analysis, 12, 205-222.

Technical Reports

Huckle, T., Romeo, J.S. and Casswell, S. (2020). Changes and influences on adolescent drinking in New Zealand. Health Promotion Agency, Wellington, New Zealand. ISBN: 978-0-478-44984-6

Wilkins, C., Rychert, M. and Romeo, J.S. (2019). Utilising an online survey to monitor availability, prices, and involvement of organised crime in supply of methamphetamine in New Zealand. A report for the European Union Drugs Agency (EMCDDA). SHORE, College of Health, Massey University, Auckland, New Zealand.

Muriwai, E., Huckle, T. and Romeo, J. (2018). Māori attitudes and behaviours towards alcohol. Health Promotion Agency, Wellington, New Zealand. ISBN: 978-0-478-44953-2

Huckle, T. and Romeo, P. (2018). Patterns of social supply of alcohol over time in New Zealand. Health Promotion Agency, Wellington, New Zealand. ISBN: 978-0-478-44926-6

Wilkins, C., Prasad, J., Romeo, J.S. and Rychert, M. (2017). Recent trends in illegal drug use in New Zealand, 2006-2016: Findings from the Illicit Drug Monitoring System (IDMS). SHORE, College of Health, Massey University, Auckland, New Zealand. ISBN: 1-877428-28-0

Wilkins, C., Prasad, J., Moewaka Barnes, H., Romeo, J.S. and Rychert, M. (2017). New Zealand Arrestee Drug Use Monitoring (NZ-ADUM) 2016 Report. SHORE, College of Health, Massey University, Auckland, New Zealand.