Statistical Methodology Papers Published in Refereed Journals:

(Research trainees underlined)

___________________________________________________________________________________________

[53A] Abed A, Torabi M, and Mashreghi Z (2024). Gonorrhea cluster detection in Manitoba, Canada: spatial, temporal, and spatio-temporal analysis, Infectious Disease Modelling, 9 (4), 1045-1056, R codes.

[52A] Amiri L, Torabi M, and Deardon R (2024). Spatial modeling of infectious diseases with covariates measurement error, Journal of the Royal Statistical Society Series C, 73 (2), 460-477, preprint, R codes.

[51A] Bucyibarutaa G, Dean CB, and Torabi M (2023). A discrete-time Susceptible-Infectious- Recovered-Susceptible model for the analysis of influenza data, Infectious Disease Modelling, 8 (2), 471-483, R codes.

[50A] Amiri L, Torabi M, and Deardon R (2023). Analyzing COVID-19 data in the Canadian province of Manitoba: a new approach, Spatial Statistics, Jun; 55:100729, preprint, R codes.

[49A] Torabi M , Ghosh M, Myung J, and Steel M (2023). Measurement error in linear regression models with flat tails and skewed errors, Communications in Statistics--Theory and Methods, 52 (15): 5407-5426, preprint, R codes.

[48A] Hoque E, Acar E, and Torabi M (2023). A time-heterogeneous D-vine copula model for unbalanced and unequally spaced longitudinal data, Biometrics, 79 (2), 734-746, preprint, Supplementary, R codes, GitHub link: https://github.com/LongDataAnalysis/LDvine.

[47A] Momenyan S, and Torabi M (2022). Modeling the spatio-temporal spread of COVID-19 cases, recoveries and deaths and effects of partial and full vaccination coverage in Canada, Scientific Reports, 12, 17817, https://doi.org/10.1038/s41598-022-21369-z.

[46A] Sefidkar R, Torabi M, and Kavousi A (2022). Small area estimation under a semi-parametric covariate measured with error, Australian & New Zealand Journal of Statistics, 64 (4): 495-515, preprint, R codes.

[45A] Tadayon V, and Torabi M (2022). Sampling strategies for proportion and rate estimation in a spatially correlated population, Spatial Statistics, 47-100564:1-18, preprint, R codes.

[44A] Jiang J, and Torabi M (2022). Goodness-of-fit test with a robustness feature, TEST (Spanish Journal of Statistics), 31, 76--100, https://doi.org/10.1007/s11749-021-00772-0, preprint, R codes.

[43A] Balamchi S, and Torabi M (2021). Spatial modeling of repeated events with an application to disease mapping, Spatial Statistics, 42-100425:1-16, preprint, R codes.

[42A] Torabi M, and de Leon A (2021). Conditional dependence in longitudinal data analysis,

Journal of the Iranian Statistical Society (invited paper), 20 (1): 347-370, preprint, R codes.

[41A] Amiri L, Torabi M, Deardon R, and Pickles M (2021). Spatial modeling of individual-level infectious disease transmission: tuberculosis data in Manitoba, Canada, Statistics in Medicine, 40 (7): 1678-1704, preprint, R codes.

[40A] Grover K, Acar E, and Torabi M (2020). Copula-based predictions in small area estimation, The Canadian Journal of Statistics, 48(4): 685-711, preprint, R codes.

[39A] Torabi M, and Jiang J (2020). Estimation of mean squared prediction error of empirically spatial predictor of small area means under a linear mixed model, Journal of Statistical Planning and Inference, 208, 82-93, preprint, R codes.

[38A] Jiang J, and Torabi M (2020). Sumca: Simple, Unified, Monte-Carlo Assisted approach to second-order unbiased MSPE estimation, Journal of Royal Statistical Society, Series B, 82, 467-485,

preprint, supp materials, R codes.

[37A] Torabi M (2019). Spatial generalized linear mixed models in small area estimation, The Canadian Journal of Statistics, 47(3), 426-437, preprint, R codes.

[36A] Tadayon V, and Torabi M (2019). Spatial models for non-Gaussian data with covariates measurement error, Environmetrics, 30(3), e2545, preprint, R codes.

[35A] Hoque E, and Torabi M (2018). Modeling the random effects covariance matrix for longitudinal data with covariates measurement error, Statistics in Medicine, 37, 28, 4167-4184, preprint, R codes.

[34A] Datta GS, Torabi M, Rao JNK, and Liu B (2018). Small area estimation with multiple covariates measured with errors: A nested error linear regression approach of combining multiple surveys, Journal of Multivariate Analysis, 167, 49-59, preprint, R codes.

[33A] Shokoohi F, and Torabi M (2018). Semi-parametric small-area estimation by combining time-series and cross-sectional data, Australian & New Zealand Journal of Statistics, 60, 3, 323-342, preprint, R codes.

[32A] Torkashvand E, Jafari Jozani M, and Torabi M (2017). Clustering in small area estimation with area-level linear mixed models, Journal of Royal Statistical Society, Series A, 180, 4, 1253–1279, preprint, R codes.

[31A] Torabi M (2017). Zero-inflated spatio-temporal models for disease mapping, Biometrical Journal, 59, 3, 430-444, preprint, R codes.

[30A] Torabi M (2016). Hierarchical multivariate mixture generalized linear models for the analysis of spatial data: An application to disease mapping. Biometrical Journal, 58, 1138-1150, preprint, R codes.

[29A] Torkashvand E, Jafari Jozani M, and Torabi M (2016). Constrained Bayes estimation in small area models with functional measurement error. TEST (Spanish Journal of Statistics), 25, 710-730, preprint.

[28A] Torabi M, Lele SR, and Prasad NGN (2015). Likelihood inference for small area estimation using data cloning. Journal of Computational Statistics and Data Analysis, 89, 158-171, preprint, R codes.

[27A] Torkashvand E, Jafari Jozani M, and Torabi M (2015). Pseudo-empirical Bayes estimation of small area means based on the James-Stein estimation in linear regression models with functional measurement error. The Canadian Journal of Statistics, 43(2), 265-287, preprint.

[26A] Torabi M, and Shokoohi F (2015). Non-parametric generalized linear mixed models in small area estimation. The Canadian Journal of Statistics, 43(1), 82-96, preprint.

[25A] Torabi M (2015). Likelihood inference for spatial generalized linear mixed models. Communications in Statistics- Simulation and Computation, 44, 1692-1701, preprint.

[24A] Torabi M (2014). Spatial generalized linear mixed models with multivariate CAR models for areal data. Journal of Spatial Statistics, 10, 12-26.

[23A] Torabi M (2014). Spatio-temporal modeling of odds of disease. Journal of Environmetrics, 25, 341-350, preprint.

[22A] Torabi M, and Rao JNK (2014). On small area estimation under a sub-area level model. Journal  of Multivariate Analysis, 127, 36-55, preprint, R codes.

[21A] Torabi M (2014). Hierarchical Bayesian bivariate disease mapping: analysis of children and adults asthma visits to hospital. Applied Statistics, 41, 612-621, preprint.

[20A] Torabi M, and Shokoohi F (2014). Hierarchical Bayes estimation in small area estimation using  cross-sectional and time-series data. Journal of Statistical Computation and Simulation, 84, 605-613, preprint.

[19A] Torabi M (2013). Spatio-temporal modeling for disease mapping using CAR and B-spline smoothing. Journal of Environmetrics, 24, 180-188, preprint.

[18A] Torabi M, and Rao JNK (2013). Estimation of mean squared error of model-based estimators of small area means under a nested error linear regression model. Journal of Multivariate Analysis, 117, 76-87.

[17A] Torabi M (2013). Likelihood inference in generalized linear mixed measurement error models. Journal of Computational Statistics and Data Analysis, 57, 549-557, preprint.


[16A] Torabi M (2012). Small area estimation using survey weights under a nested error linear regression model with structural measurement error. Journal of Multivariate Analysis, 109, 52-60.

[15A] Torabi M (2012). Likelihood inference in generalized linear mixed models with two components of dispersion using data cloning. Journal of Computational Statistics and Data Analysis, 56, 4259-4265.

[14A] Torabi M (2012). Hierarchical Bayes estimation of spatial statistics for rates. Journal of Statistical Planning and Inference, 142, 358-365.

[13A] Torabi M, and Shokoohi F (2012). Likelihood inference in small area estimation by combining time-series and cross-sectional data. Journal of Multivariate Analysis, 111, 213-221, preprint.

[12A] Torabi M (2012). Spatial modeling using frequentist approach for disease mapping. Applied Statistics, 39, 2431-2439.

[11A] Torabi M (2012). Spatial disease cluster detection: An application to childhood asthma in Manitoba, Canada. Journal of Biometrics and Biostatistics, (invited paper), DOI: 10.4172/2155-6180.S7-0010.

[10A] Torabi M, and Rosychuk RJ (2012). Hierarchical Bayesian spatio-temporal analysis of childhood cancer trends. Journal of Geographical Analysis, 44, 109-120.

[9A] Torabi M (2011). Small area estimation using survey weights with functional measurement error in the covariate. Australian & New Zealand Journal of Statistics, 53, 141-155.

[8A] Torabi M, and Rosychuk RJ (2011). Spatio-temporal modelling using B-spline for disease mapping: Analysis of childhood cancer trends. Applied Statistics, 38, 1769-1781.

[7A] Torabi M, and Rosychuk RJ (2011). An examination of five spatial disease clustering methodologies for the identification of childhood cancer clusters in Alberta, Canada. Journal of Spatial and Spatio- Temporal Epidemiology, 2, 321-330.

[6A] Torabi M, and Rao JNK (2010). The mean squared error estimators of small area means using survey weights. The Canadian Journal of Statistics, 38, 598-608.

[5A] Torabi M, and Rosychuk RJ (2010). Spatio-temporal modelling of disease mapping of rates. The Canadian Journal of Statistics, 38, 698-715.

[4A] Datta GS, Rao JNK, Torabi M (2010). Pseudo-empirical Bayes estimation of small area means under a nested linear regression model with functional measurement errors. Journal of Statistical Planning and Inference, 140, 2952-2962.

[3A] Torabi M, Datta GS, and Rao JNK (2009). Empirical Bayes estimation of small area means under a nested error linear regression model with measurement errors in the covariates. Scandinavian Journal of Statistics, 36, 355-368.

[2A] Torabi M, and Rosychuk RJ (2008). Spatial event cluster detection using an approximate normal distribution. International Journal of Health Geographics, 7:61, 1-22.

[1A] Torabi M, and Rao JNK (2008). Small area estimation under a two-level model. Survey Methodology, 34, 11-17.

Applied Papers Published in Refereed Journals:

[27B] Armstrong HK, Vincent N, Bernstein CN, Bording-Jorgenson M, Veniamin S, Jovel J, Sobhan S, Torabi M, Wine E, and El-Matary W. (2023).  Gut microbiome compositon and metabolic chmages are correlated with sleep efficiency and disease phenotype in pediatric inflammatory bowel disease. Journal of Sleep Medicine & Disorders, 8(1):1131.

[26B] Romanescu R, Hu S, Nanton D, Torabi M, Tremblay-Savard O, and Ashiqul Haque Md. (2023).  The effective reproductive number: modeling and prediction with application to the multi-wave Covid-19 pandemic. Epidemics, to appear.

[25B] Riediger ND, Dahl L, Biradar RA, Mudryj AN, and Torabi M. (2022).  A descriptive analysis of food pantries in twelve American states: hours of operation, faith-based affiliation, and location. BMC Public Health, 22: 525 https://doi.org/10.1186/s12889-022-12847-0.

[24B] Dyck J, Tate RB, Uhanova J, and Torabi M. (2021). Social determinants and spatio-temporal variation of ischemic heart disease in Manitoba. BMC Public Health, 21:2325, https://doi.org/10.1186/s12889-021-12369-1.

[23B] Fakanye O, Singh H, Desautels D, and Torabi M. (2021). Geographical variation and factors associated with gastric cancer in Manitoba. PLoS ONE, 16(7): e0253650. https://doi.org/10.1371/journal.pone.0253650

[22B] Sefidkar R, Kavousi A, Torabi M, Hosseini S V, and Alaii H. (2020). Prediction of colorectal cancer incidence rate in the counties of Fars province, Iran: an application of small area estimation. International Journal of Cancer Management, 13(8): e106149.

[21B] Park DS, Han J, Torabi M, and Forget EL (2020). Managing mental health: why we need to redress the balance between healthcare spending and social spending. BMC Public Health, Article number 393.

[20B] Torabi M, Brenstein CN, Yu BN, Wickramasinghe L, Blanchard JF, and Singh H (2020). Geographical variation and factors associated with inflammatory bowel disease in a central Canadian province. Journal of Inflammatory Bowel Disease, 26(4): 581-590.

[19B] Cui Y, Forget EL, Torabi M, Oguzoglu U, Ohinmaa A, and Zhu Y (2019). Health-related quality of life and economic burden to smoking behaviour among Canadians. Canadian Journal of Public Health, https://doi.org/10.17269/s41997-019-00244-x.

[18B] Asadoorian J, Forget EL, Grace J, and Torabi M (2019). Exploring dental hygiene decision making: A quantitative study of potential organizational explanations. Canadian Journal of Dental Hygiene, 53(1): 7-22.

[17B] Cui Y, Forget EL, Zhu Y, Torabi M, and Oguzoglu U (2019).The effects of cigarette price and the amount of pocket money on youth smoking initiation and intensity in Canada. Canadian Journal of Public Health, 110:93-102.

[16B] Roos L, Wall-Wieler E, and Torabi M (2018). Exploring alternative designs using “Big” administrative data. International Journal of Population Data Science, 3(4), https://ijpds.org/ article/view/757.

[15B] Torabi M, Galloway K (2018). Impact of the number of regions in identifying spatial trends: An application to asthma visits to hospital. Geospatial Health, 13: 696.

[14B] McIntyre WF, St. John PD, Torabi M, and Tate RB (2018). Lifetime pattern of atrial fibrillation and the risks of stroke and death in a population-based cohort of men (from The Manitoba Follow-Up Study). American Journal of Cardiology, 122(10): 1688-1693.

[13B] Singh H, Nugent Z, Decker K, Demers A, Samaddar J, and Torabi M (2017). Geographical variation and factors associated with colorectal cancer incidence in Manitoba. Canadian Journal of Public Health, 108 (5-6):e558–e564 doi: 10.17269/CJPH.108.6091.

[12B] Dawe DE, Singh H, Wickramasinghe L, Pitz MW, and Torabi M (2017). Geographical variation and factors associated with non-small cell lung cancer in Manitoba.  Canadian Respiratory Journal, Article ID 7915905, 9 pages, https://doi.org/10.1155/2017/7915905.

[11B] Ye X, Torabi M, Lix LM, Mahmud SM (2017). Time and spatial trends in lymphoid leukemia and lymphoma incidence and survival among children and adolescents in Manitoba, Canada: 1984-2013. PLoS ONE 12(4): e0175701, https://doi.org/10.1371/journal.pone.0175701.

[10B] Acosta C, Cortes C, Altaweel K, MacPhee H, Hoogervorst B, Bhullar H, MacNeil B, Torabi M, Burczynski F, and Namaka MP. (2015). Immune system induction of nerve growth factor in an animal model of multiple sclerosis: implications in re-myelination and myelin repair. CNS Neurol Disord Drug Targets. 14(8): 1069-1078.

[9B] Cui Y, Torabi M, Forget E, Metge C, Ye X, Moffatt M, and Oppenheimer L (2015). Geographical variation analysis of all-cause hospital readmission cases in Winnipeg, Canada. BMC Health Services Research, 15:129.

[8B] Torabi M, Singh H, Galloway K, and Israels S (2015). Geographical variation in the incidence of childhood leukemia in Manitoba. Journal of Paediatrics and Child Health, 51, 1121-1126, preprint.

[7B] Turcotte D, Doupe M, Torabi M, Intrater H, Hayward S, Esfahani F, Gomori A, and Namaka MP (2015). Nabilone as an adjunctive to gabapentin for multiple sclerosis-induced neuropathic pain: a randomized controlled trial. Journal of Pain Medicine, 16(1):149–159.

[6B] Torabi M, Galloway K (2014). Geographical variation of incidence of chronic obstructive pulmonary disease in Manitoba, Canada. International Journal of Geo-Information, 3(3), 1039- 1057.

[5B] Torabi M (2014). Bowel disorders and its spatial trend in Manitoba, Canada. BMC Public Health, 14:285, 1-11.

[4B] Torabi M, Green C, Nugent Z, Mahmud SM, Demers AA, Griffith J, and Singh H (2014). Geographical variation and factors associated with colorectal cancer mortality in a universal health care system. Canadian Journal of Gastroenterology and Hepatology, 28(4): 191-197.

[3B] Turcotte D, Doupe M, Torabi M, Gomori AJ, Ethans K, Esfahani F, Galloway K, and Namaka MP (2014). Paroxetine versus pregabalin for the management of neuropathic pain in multiple sclerosis. World Journal of Anesthesiology, 3(2): 181-188.

[2B] Torabi M, Green C, Yu N, and Marrie RA (2014). Application of three focused cluster detection methods to study geographic variation in the incidence of multiple sclerosis in Manitoba, Canada. Journal of Neuroepidemiology, 43(1), 38-48.

[1B] Turcotte D, Doupe M, Torabi M, Intrater H, Hayward S, Esfahani F, Gomori A, Ethans K, and Namaka MP (2013). Validating a pain stability algorithm for multiple sclerosis-induced neuropathic pain: implications in pain management. Global Journal of Immunology and Allergic Diseases, 1: 3-11.