• Cen, M; Meng, X; Hu, X; Liu, J; Wu, J. (2025). PDE-Based Bayesian Hierarchical Modeling for Event Spread, with Application to COVID-19 Infection. arXiv. https://arxiv.org/abs/2509.13174
• Arimoro, O.I.; Lix, L.M.; Patten, S.B.; Sawatzky, R.; Sebille, V.; Liu, J; Wiebe, S.; Josephson, C.B.; Sajobi, T.T. (2025). Tree-based latent variable model for assessing differential item functioning in patient-reported outcome measures: a simulation study. Quality of Life Research. https://doi.org/10.1007/s11136-025-04018-6
• Gheisary, Z; Hoja, I; Liu, J; Papagerakis, P; Weber, L.P.; Fenton, M; Katselis, G.S.; Lieffers, J.R.L.; Papagerakis, S. (2024). Association of Sleep Quality and General, Mental, and Oral Health with Lifestyle Traits (Dietary Intake, Smoking Status) in Arthritis: A Cross-Sectional Study from the Canadian Community Health Survey (CCHS). Nutrients. 16(13): 2091. https://doi.org/10.3390/nu16132091
• Sharma, Y; Laison, E.K.; Philippsen, T; Ma, J; Kong, J; Ghaemi, S; Liu, J; Hu, F; Nasri, B. (2024). Models and data used to predict the abundance and distribution of Ixodes scapularis (black-legged tick) in North America: a scoping review. The Lancet Regional Health – Americas. 32. https://doi.org/10.1016/j.lana.2024.100706
• Sajobi, T.T.; Sanusi, R.A.; Mayo, N.E.; Sawatzky, R.; Nielsen, L.K.; Sebille, V.; Liu, J; Bohm, E; Awosoga, O; Norris, C.M.; Wilton, S.B.; James, M.T.; Lix, L.M. (2024). Unsupervised item response theory models for assessing sample heterogeneity in patient-reported outcomes measures. Quality of Life Research. 33: 853-864. https://doi.org/10.1007/s11136-023-03560-5
• Fu, H; Neil, E.J.; Liu, J; Si, B. (2024). A continuous root water uptake isotope mixing model. Water Resources Research. 60(8): e2023WR036852. https://doi.org/10.1029/2023WR036852
• Mansell, H; Rosaasen, N; Wichart, J; Thielke, R.W.; Blackburn, D; Liu, J; Mainra, R; Shoker, A; Groot, B; Wen, K; Wong, A; Bateni, B; Luo, C; Trivedi, P. (2024). Video education and behavior contract to improve outcomes after renal transplantation (VECTOR); a randomized controlled trial. Patient Preference and Adherence. 18: 1589-1602. https://doi.org/10.2147/PPA.S467142
• Liu, J; Bellows, B; Hu, X.J.; Wu, J; Zhou, Z; Soteros, C; Wang, L. (2023). A new time-varying coefficient regression approach for analyzing infectious disease data. Scientific Reports. 13. https://doi.org/10.1038/s41598-023-41551-1
• Gheisary, Z; Mahmood, R; Shivanantham, A.H.; Liu, J; Lieffers, J.R.L.; Papagerakis, P; Papagerakis, S. (2022). The clinical, microbiological and immunological effects of probiotic supplementation on prevention and treatment of periodontal diseases: a systematic review and meta-analysis. Nutrients. 14: 1036. https://doi.org/10.3390/nu14051036
• Liu, J; *Afful, A; Mansell, H; Ma, Y. (2022). Bias analysis for misclassification errors in both the response variable and covariate. The American Statistician. 76: 353-362. https://doi.org/10.1080/00031305.2022.2066725
• Sajobi, T.T.; Lix, L.M.; Russell, L; Schulz, D; Liu, J; Zumbo, B.D.; Sawatzky, R. (2022). Accuracy of mixture item response theory models for identifying sample heterogeneity in patient-reported outcomes: a simulation study. Quality of Life Research. 31(12): 3423-3432. https://doi.org/10.1007/s11136-022-03169-0
• Zhang, K*; Liu, J; Liu, Y; Zhang, P; Carroll, R.J. (2022). Bayesian adjustment for measurement error in an offset variable in a Poisson regression model. Statistical Modelling. 22: 509-526. https://doi.org/10.1177/1471082X211008011
• Mansell, H; Rosaasen, N; Wichart, J; Mainra, R; Shoker, A; Hoffert, M; Blackburn, D.F.; Liu, J; Groot, B; Trivedi, P; Willenborg, E; Amararajan, M; Wu, H; Afful, A. (2021). A randomized controlled trial of a pre-transplant educational intervention in kidney patients. Transplantation Direct. 7(10): e753. https://doi.org/10.1097/TXD.0000000000001202
• Liu, J; Ma, Y; Johnstone, J. (2020). A Goodness-of-fit Test for Zero-Inflated Poisson Mixed Effects Models in Tree Abundance Studies. Computational Statistics & Data Analysis. 144: 106887. https://doi.org/10.1016/j.csda.2019.106887
• Obeidat, M*; Liu, J; Osgood, N; Klassen, G*. (2019). Bayesian methods for time series of count data. Communications in Statistics – Simulation and Computation. 51(2): 486-504. https://doi.org/10.1080/03610918.2019.1655574
• Mansell, H; Rosaasen, N; West-Thielke, P; Wichart, J; Daley, C; Mainra, R; Shoker, A; Liu, J; Blackburn, D. (2019). Randomised controlled trial of a video intervention and behaviour contract to improve medication adherence after renal transplantation: the VECTOR study protocol. BMJ Open. 9(3): e025495. https://doi.org/10.1136/bmjopen-2018-025495
• Yan, Y; Burbridge, C; Shi, J; Liu, J; Kusalik, T. (2019). Effects of input data quantity on genome-wide association studies (GWAS). International Journal of Data Mining & Bioinformatics. 22: 19-43. https://doi.org/10.1504/IJDMB.2019.099286
• Salway, T; Plöderl, M; Liu, J; Gustafson, P. (2019). Effects of multiple forms of information bias on estimated prevalence of suicide attempts by sexual orientation: An application of a Bayesian misclassification correction method to data from a systematic review. American Journal of Epidemiology. 188(1): 239-249. https://doi.org/10.1093/aje/kwy200
• Safarishahrbijari, A., Teyhouee, A., Waldner, C., Liu, J., Osgood, N. (2017). Predictive accuracy of particle filtering in dynamic models supporting outbreak projections. BMC Infectious Diseases, 17(648). https://doi.org/10.1186/s12879-017-2726-9
• Liu, J., Gustafson, P., Huo, D. (2016). Bayesian adjustment for the misclassification in both dependent and independent variables with application to a breast cancer study. Statistics in Medicine, 35(23):4252-63.
• Wu, X., Sawatzky, R., Hopman, W., Mayo, N., Sajobi, T.T., Liu, J., Prior, J., Papaioannou, A., Josse, RG, Towheed,T., Davison, KS, Lix, L.M. (2016) Differential Item functioning in the SF-36 physical functioning and mental health sub-scales: a population-based investigation in the Canadian multicentre osteoporosis study. PLOS ONE, 11(3): e0151519. https://doi.org/10.1371/journal.pone.0151519
• Lix, L.M., Chan, E.K.H., Sawatzky, R., Sajobi, T.T., Liu, J., Hopman, W., Mayo, N. (2016). Response shift and disease activity in inflammatory bowel disease. Quality of Life Research, 25, 1751-1760.
• Brown, C.D., Liu, J., Yan, G., and Johnstone, J.F. (2015). Disentangling legacy effects from environmental filters of post-fire assembly of boreal tree assemblages. Ecology, 96, 3023-3032.
• Liu, J., Liu, W., Wu, L., and Yan, G. (2015). A flexible approach for multivariate mixed-effects models with non-ignorable missing values. Journal of Statistical Computation and Simulation, 85, 3727-3743.
• Sighoko, D., Liu, J., Hou, N., Gustafson, P., and Huo, D. (2014). Discordance in hormone receptor status among primary, metastatic, and second primary breast cancers: biological difference or misclassification? The Oncologist, 19, 592-601.
• Liu, Y., Liu, J., and Zhang, F. (2013). Bias analysis for misclassification in a multicategorical exposure in a logistic regression model. Statistics and Probability Letters, 83, 2621-2626.
• Vidovic, S., Tsoi, S., Medihala, P., Liu, J., Wylie, J.L., Levette, P.N, and Korber, D. (2013). Molecular and antimicrobial susceptibility analyses distinguish clinical from bovine Escherichia coli O157 strains. Journal of Clinical Microbiology, 51, 2082-8.
• Lix, L.M., Sajobi, T.T., Sawatzky, R., Liu, J., Mayo, N.E., Huang, Y., Graff, L.A., Walker, J.R., Ediger, J., Clara, I., Sexton, K., Carr, R., and Bernstein, C.N. (2013). Relative importance measures for reprioritization response shift. Quality of Life Research, 22, 695-703.
• Liu, J. and Gustafson P. (2012). Regression with fractional polynomials when interactions are erroneously omitted. Journal of Statistical Planning and Inference, 142,1348-1355.
• Alam M.K., EI-Ganiny A.M., Afronz, S., Sanders, D.A., Liu, J., and Kaminskyj, S.G. (2012). Aspergillus nidulans galactofuranose biosynthesis affects antifungal drug sensitivity. Fungal Genetics and Biology, 49, 1033-43.
• Szmigielski, A.M., Schoenau, J.J., Johnson, E.N., Holm, F.A., Sapsford, K.L., and Liu, J. (2012). Effects of soil factors on phytotoxicity and dissipation of sulfentrazone in canadian prairie soils. Communications in Soil Science and Plant Analysis, 43, 896-904.
• Zhang P., Liu, J., Dong, J., Holovati, JL., Letcher, B., and McGann LE. (2011). A Bayesian adjustment for multiplicative measurement errors for a calibration problem with applications to a stem cell study, Biometrics, 68(1), 268-274. https://doi.org/10.1111/j.1541-0420.2011.01633.x
• Liu, J. and Gustafson, P. (2010). On the detectability of different forms of interaction in regression models, Metrika, 75(3), 347-365. https://doi.org/10.1007/s00184-010-0294-8
• Ng, C.T., Joe, H., Karlis, D. and Liu, J. (2010). Composite likelihood for time series models with a latent autoregressive process, Statistica Sinica, 21, 279-305.
• Liu, J., Gustafson, P., Cherry, N. and Burstyn, I. (2009). Bayesian analysis of a matched case-control study with expert prior information on both the misclassification of exposure and the exposure-disease association. Statistics in Medicine, 28, 3411-3423. https://doi.org/10.1002/sim.3670
• Wu, L., Liu, W. and Liu, J. (2009). A longitudinal study of children's aggressive behaviours based on multivariate mixed models with incomplete data. Canadian Journal of Statistics, 37, 435-452.
• Szmigielski, A.M., Schoenau, J.J., Johnson, E., Holm, F.A., Sapsford, K.L. and Liu, J. (2009). Development of a lab bioassay and effect of soil properties on sulfentrazone phytotoxicity in soil. Weed Technology, 23, 486-491.
• Burstyn, I., Kapur, N., Shalapay, C., Bamforth, F., Wild, C.,Liu, J. and LeGatt, D. (2009). Evaluation of the accuracy of self-reported smoking in pregnancy when the biomarker level in an active smoker is uncertain. Nicotine & Tobacco Research, 11, 670-678. https://doi.org/10.1093/ntr/ntp077
• Liu, J. and Gustafson, P.(2008). On average predictive comparisons and interactions. International Statistical Review, 76, 419-432.
• Chen, D., Liu, J. and Zhang, F., 2006. The reversible nearest particle systems on a finite set. Bernoulli, 12, 101-111.