Dr Jose Romeo staff profile picture

Contact details +64 (09) 414 0800  ext. 41330

Dr Jose Romeo PhD in Statistics

Statistician

SHORE Centre

Jose (Pepe) Romeo has a PhD in Statistics from University of Sao Paulo, Brazil. He has taught many courses related to Statistics at undergraduate and postgraduate level across different universities in Chile. Recently, he was a postdoctoral fellow in the Dept. of Statistics at the University of Auckland. He has interest in Applied Statistical Modelling. He also has interest in Handball, Surfing and Music.

Professional

Contact details

  • Ph: +64 (09) 414 0800 ext. 49067
    Location: 2.16, INMS
    Campus: Albany

Qualifications

  • PhD in Statistics - University of Sao Paulo (2005)

Research Expertise

Research Interests

Statistical Modelling | Biostatistics | Bayesian Inference | Regression models | Survival Analysis | Copula and Frailty models | Multivariate methods

Journal Articles

1. Gallardo, D.I., Romeo, J.S. and Meyer, R. (2016). A simplified estimation procedure based on the EM algorithm for the power series cure rate model. Communications in Statistics - Simulation and Computation, doi:10.1080/03610918.2016.1202276.
2. 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, doi:10.1061/(ASCE)CO.1943-7862.0001158.
3. Meyer, R. and Romeo, J.S. (2015). Bayesian semiparametric analysis of recurrent failure time data using copulas. Biometrical Journal, 57, 982-1001.
4. 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.
5. 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.
6. 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.
7. 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.
8. 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.
9. 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.
10. 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.
11. 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.
12. Salinas, V.H., Romeo, J.S. and Pe~na, J.A. (2010). On Bayesian estimation of a survival curve: comparative study and examples. Computational Statistics, 25, 375-389.
13. 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.
14. 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.

 

Area of Expertise

Field of research codes
Applied Statistics (010401): Biostatistics (010402): Mathematical Sciences (010000): Statistical Theory (010405): Statistics (010400)

Research Outputs

Journal

Gallardo, D., Bolfarine, H., Pedroso-de-Lima, A., & Romeo Nunez, J. (2019). Destructive power series long-term survival model with complex activation schemes. Statistics and Its Interface. 12(4), 561-571
[Journal article]Authored by: Romeo Nunez, J.
Wilkins, C., Rychert, M., Romeo, JS., & Randerson, S. (2019). Smoke in our eyes: The sense partners’ evaluation of the legalisation of cannabis in New Zealand. New Zealand Medical Journal. 132(1490), 6-9
[Journal article]Authored by: Romeo Nunez, J., Rychert, M., Wilkins, C.
Vásquez, CA., Salinas-Torres, VH., & Romeo, JS. (2019). Bayesian estimation of the limiting availability in a repairable one-unit system: Estimación bayesiana de la disponibilidad límite en un sistema reparable uni-componente. Revista Colombiana de Estadistica. 42(1), 123-142
[Journal article]Authored by: Romeo Nunez, J.
Wilkins, C., Romeo, JS., 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
[Journal article]Authored by: Romeo Nunez, J., Rychert, M., Wilkins, C.
Huckle, T., Romeo, JS., Wall, M., Callinan, S., Holmes, J., Meier, P., . . . Casswell, S. (2018). Socio-economic disadvantage is associated with heavier drinking in high but not middle-income countries participating in the International Alcohol Control Study. Drug and Alcohol Review. 37, S63-S71
[Journal article]Authored by: Casswell, S., Huckle, T., Romeo Nunez, J.
Romeo, JS., Meyer, R., & Gallardo, DI. (2018). Bayesian bivariate survival analysis using the power variance function copula. Lifetime Data Analysis. 24(2), 355-383
[Journal article]Authored by: Romeo Nunez, J.
Gallardo, DI., Romeo, JS., & 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
[Journal article]Authored by: Romeo Nunez, J.
Poshdar, M., González, VA., Raftery, GM., Orozco, F., Romeo, JS., & 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)
[Journal article]Authored by: Romeo Nunez, J.
Meyer, R., & Romeo, JS. (2015). Bayesian semiparametric analysis of recurrent failure time data using copulas. Biometrical Journal. 57(6), 982-1001
[Journal article]Authored by: Romeo Nunez, J.
Reyes-López, FE., Romeo, JS., Vallejos-Vidal, E., Reyes-Cerpa, S., Sandino, AM., Tort, L., . . . 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 and Comparative Immunology. 53(1), 210-221
[Journal article]Authored by: Romeo Nunez, J.
Romeo, JS., Meyer, R., & Reyes-Lopez, FE. (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), 503-523
[Journal article]Authored by: Romeo Nunez, J.
Román, ST., Romeo, JS., & Salinas-Torres, VH. (2014). Bayesian estimation of the limiting availability in the presence of right-censored data. Metron. 72(3), 247-267
[Journal article]Authored by: Romeo Nunez, J.
Bazán, JL., Romeo, JS., & Rodrigues, J. (2014). Bayesian skew-probit regression for binary response data. Brazilian Journal of Probability and Statistics. 28(4), 467-482
[Journal article]Authored by: Romeo Nunez, J.
Torres-Avilés, F., Romeo, JS., & López-Kleine, L. (2014). Data mining and influential analysis of gene expression data for plant resistance gene identification in tomato (solanum lycopersicum). Electronic Journal of Biotechnology. 17(2), 79-82
[Journal article]Authored by: Romeo Nunez, J.
Romeo, JS., Torres-Avilés, F., & López-Kleine, L. (2013). Detection of influent virulence and resistance genes in microarray data through quasi likelihood modeling. Molecular Genetics and Genomics. 288(1-2), 49-61
[Journal article]Authored by: Romeo Nunez, J.
Romeo, JS., Tanaka, NI., Pedroso-de-Lima, AC., & Salinas-Torres, VH. (2013). Large sample properties for a class of copulas in bivariate survival analysis. Metrika. 76(8), 997-1015
[Journal article]Authored by: Romeo Nunez, J.
Salinas, VH., Romeo, JS., & Peña, A. (2010). On Bayesian estimation of a survival curve: Comparative study and examples. Computational Statistics. 25(3), 375-389
[Journal article]Authored by: Romeo Nunez, J.
Diaz-Ledezma, C., Urrutia, J., Romeo, J., Chelen, A., González-Wilhelm, L., & Lavarello, C. (2009). Factors associated with variability in length of sick leave because of acute low back pain in Chile. Spine Journal. 9(12), 1010-1015
[Journal article]Authored by: Romeo Nunez, J.
Romeo, JS., Tanaka, NI., & Pedroso-De-Lima, AC. (2006). Bivariate survival modeling: A Bayesian approach based on Copulas. Lifetime Data Analysis. 12(2), 205-222
[Journal article]Authored by: Romeo Nunez, J.

Book

Wilkins, ., Prasad, ., Moewaka Barnes, H., Romeo, JS., & Rychert, . (2017). New Zealand Arrestee Drug Use Monitoring (NZ-ADUM) 2016 Report. : Massey University
[Monograph]Authored by: Moewaka Barnes, H., Romeo Nunez, J., Rychert, M., Wilkins, C.
Wilkins, C., Prasad, J., Romeo, JS., & Rychert, . (2017). Recent trends in illegal drug use in New Zealand, 2006-2016: Findings from the Illicit Drug Monitoring System (IDMS). : Massey University
[Monograph]Authored by: Romeo Nunez, J., Rychert, M., Wilkins, C.

Report

Muriwai, E., Huckle, T., & Romeo Nunez, J.(2018). Māori attitudes and behaviours towards alcohol. Wellington: Health Promotion Agency
[Technical Report]Authored by: Romeo Nunez, J.
Huckle, T., & Romeo, JS.(2018). Patterns of social supply of alcohol over time in New Zealand. Wellington, New Zealand: SHORE & Whariki Research Centre
[Technical Report]Authored by: Huckle, T., Romeo Nunez, J.

Conference

Wilkins, C., Romeo, JS., Rychert, M., Prasad, J., & Graydon-Guy, T.DETERMINANTS OF HIGH AVAILABILITY OF METHAMPHETAMINE, CANNABIS, LSD AND ECSTASY IN NEW ZEALAND: ARE DRUG DEALERS PROMOTING METHAMPHETAMINE RATHER CANNABIS?. DRUG AND ALCOHOL REVIEW. (pp. S75 - S76). 0959-5236.
[Conference]Authored by: Romeo Nunez, J., Wilkins, C.
Romeo, JS., & Meyer, R. (2018). Bayesian modelling of temporal dependence for bivariate survival data using copulas. Poster session presented at the meeting of Bayes on the Beach Conference. Surfers Paradise, Australia
[Conference Poster]Authored by: Romeo Nunez, J.
Romeo, JS., & Meyer, R. (2016, November). Modelling temporal dependence of bivariate survival data using copulas. Presented at 2016 Joint New Zealand Statistical Association and Operations Research Society of New Zealand Conference. Auckland, New Zealand.
[Conference Oral Presentation]Authored by: Romeo Nunez, J.
Romeo, JS. (2015, July). The power variance function copula model in bivariate survival analysis: an application to twin data. Presented at Workshop on Flexible Models for Longitudinal and Survival Data with Applications in Biostatistics. Warwick, United Kingdm.
[Conference Oral Presentation]Authored by: Romeo Nunez, J.
Romeo, JS., & Meyer, R.Bayesian approach for modelling bivariate survival data through the PVF copula. . Linz, Austria
[Conference Paper]Authored by: Romeo Nunez, J.
Romeo, JS., & Meyer, R. (2014). The PVF copula model in bivariate survival analysis. Poster session presented at the meeting of Bayesian Biostatistics Conference. Zurich, Switzerland
[Conference Poster]Authored by: Romeo Nunez, J.
Romeo, JS., Meyer, R., & Gallardo, DI. (2014). The power variance function copula model in bivariate survival analysis. Poster session presented at the meeting of Bayes on the Beach Conference. Surfers Paradise, Australia
[Conference Poster]Authored by: Romeo Nunez, J.
Romeo, JS., Meyer, R., & Gallardo, DI. (2014, November). Bayesian approach for modelling bivariate survival data through the PVF copula. Presented at 2014 Joint NZSA+ORSNZ Conference. Wellington, New Zealand.
[Conference Oral Presentation]Authored by: Romeo Nunez, J.
Romeo, JS., Meyer, R., & Reyes-Lopez, F. (2013, December). Hierarchical mixture failure time regression for classi fication of the immune response of Atlantic salmon. Presented at Biometrics by the Canals. Mandurah, Western Australia, Australia.
[Conference Oral Presentation]Authored by: Romeo Nunez, J.
López-Kleine, L., Romeo, J., & Torres-Avilés, F. (2013). Gene Functional Prediction Using Clustering Methods for the Analysis of Tomato Microarray Data. Advances in Intelligent Systems and Computing. Vol. 222 (pp. 1 - 6).
[Conference Paper in Published Proceedings]Authored by: Romeo Nunez, J.

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