Recent Publications

Publications from selected department members since 2017.

  • Aleeza C. Gerstein, Katrina M. Jackson, Tami R. McDonald, Yina Wang, Benjamin D. Lueck, Sara Bohjanen, Kyle D. Smith, Andrew Akampurira, David B. Meya, Chaoyang Xue, David R. Boulware, Kirsten Nielsen (2019). Identification of Pathogen Genomic Differences That Impact Human Immune Response and Disease during Cryptococcus neoformans Infection. mBio 10, e01440-19.
  • Amiri, S., Jafari Jozani, M. and Modarres, R. (2019). On multiple imputation for unbalanced ranked set samples with applications in quantile estimation. Brazilian Journal of Probability and Statistics, 1–25.
  • Brad C. Johnson and Steve Kirkland (2019). Estimating Random Walk Centrality in Networks. Computational Statistics and Data Analysis. 138, 190–200.
  • Davies, K. and Dembinska, A. (2019). On the Number of Failed Components in a k-out-of-n System Upon System Failure when the Lifetimes are Discretely Distributed. Reliability Engineering and System Safety. Accepted.
  • Derkatch, S., Kirby, C., Kimelman, D., Jafari Jozani, M., Davidson, J.M. and Leslie, W.D. (2019). Machine Learning for Automated Vertebral Fracture Detection: A Registry-Based Cohort Study. Radiology. Accepted for publication. , 1–38.
  • Mehrjoo, M., Jafari Jozani, M. and Pawlak, M. (2019). Wind Turbine Power Curve Modeling for Reliable Power Prediction Using Monotonic Regression. Renewable Energy. Accepted for publication., 1–26.
  • Nourmohammadi, M., Jafari Jozani, M. and Johnson, B. (2019). Parametric inference using nomination sampling with an application to a mercury contamination study in fish body. Sankhya A: The Indian Journal of Statistics. Accepted for publication, 1-32.
  • Amiri, S., Jafari Jozani, M. and Modarres, R. (2018). Randomly Selected Order Statistics in Ranked Set Sampling: less expensive comparable alternative to simple random sampling. Environmental and Ecological Statistics 25 (2), 237–256.
  • Banerjee, B., Biswas, A., Ong, S. and Mandal, S. (2018). Cochran-Mantel-Haenszel test with bivariate binomial model on surrogate marker analysis. Communications in Statistics - Case Studies, Data Analysis and Applications. Accepted.
  • Brad C. Johnson. Approximations for discrete scan statistics on i.i.d. and Markov dependent Bernoulli trials. In Glaz, J. & Koutras, M. V. (Eds.), Handbook of Scan Statistics. Springer, New York, NY, 2018.
  • Chowdhury, M., Chen, M. and Mandal, S. (2018). A class of optimization problems on minimizing variance based criteria in respect of parameter estimators of a linear model. Communications in Statistics - Simulation and Computation. Accepted.
  • Cramer, E. and Davies, K. (2018). Optimal Restricted Progressive Censoring Plans. Communications in Statistics - Simulation and Computation 47, 1216-1239.
  • Davies, K. and Dembinska, A. (2018). Computing Moments of Discrete Order Statistics from Non-Identical Distributions. Journal of Computational and Applied Mathematics 328, 340-354.
  • Derkatch, S., Kirby, C., Kimelman, D., Jafari Jozani, M., Davidson J.M., Leslie, W. (2018). Automated Identification of Vertebral Compression Fractures Using Artificial Intelligence Convolutional Neural Networks Predicts Incident Non-vertebral and Hip Fracture: The Manitoba BMD Registry. Journal of Bone and Mineral Research.
  • Fan, Jun; Kong, Lingchen; Wang, Liqun and Xiu, Naihua (2018). Variable Selection in Sparse Regression with Quadratic Measurements. Statistica Sinica 28, 1157–1178.
  • Hajipour, F., Jafari Jozani, M., Elwali, A. and Moussavi, Z. (2018). Regularized Logistic Regression for Obstructive Sleep Apnea Screening during Wakefulness Using Tracheal Breathing Sounds and Anthropometric Information . Submitted., 1-25.
  • Hatefi, A., Reid, N., Jafari Jozani, M. and Ozturk, M. (2018). Finite Mixture Modeling, Classification and Statistical Learning with Order Statistics. Statistica Sinica. Accepted for publication, 1–50.
  • Hoque, Md Erfanul and Torabi, Mahmoud (2018). Modeling the random effects covariance matrix for longitudinal data with covariates measurement error . Statistics in Medicine 37 (28), 4167-4184.
  • Hossain, S., Hiebert, I. and Mandal, S. (2018). Estimation strategy of multilevel model for ordinal longitudinal data. Japanese Journal of Statistics and Data Science. Accepted.
  • Jafaraghaie, R., Nematollahi, N. and Jafari Jozani, M. (2018). A Unified Theory for Robust Bayesian Prediction Under a General Class of Regret Loss Functions. Statistica Sinica. Revision submitted., 1-26.
  • Jafari Jozani, M., Ayilara, O.F., Leslie, D. (2018). Quantile Regression with Nominated Samples: An Application to a Bone Mineral Density Study. Statistics in Medicine 37 (14), 2530–2546.
  • Kpekpena, C. and Muthukumarana, S. (2018). Bayesian Equivalence Testing and Meta-Analysis in Two-Arm Trials with Binary Data. Computational and Mathematical Methods in Medicine, 1- 8.
  • Lin, C. Y. and Yang, P. (2018). Robust multistratum baseline designs. Computational Statistics and Data Analysis 118, 98-111.
  • Mandal, S., Arabi Belaghi, R., Mahmoudi, A. and Aminnejad, M. (2018). Stein-type shrinkage estimators in gamma regression model with application to prostate cancer data. Statistics in Medicine. Accepted.
  • Muthukumarana, S. and Khargonkar, N. (2018). Modeling and Simulation of UEFA Champions League. Under Review.
  • Muthukumarana, S., Vincent, K. and Tichon, J. (2018). Bayesian Item Response Analysis of Method-of-Payment Habits in Banking Surveys. Under Review.
  • Omidvar, S., Jafari Jozani, M. and Nematollahi, N. (2018). Judgment post-stratification in finite mixture modeling: An example in estimating the prevalence of osteoporosis. Statistics in Medicine 37 (30), 1–17.
  • Wickramasinghe, L., Leblanc, A. and Muthukumarana, S. (2018). Modelling Bowling Performance in T20I Cricket. Under Review.
  • Yang, P. and Hu, J. (2018). Optimal robust parameter designs with qualitative and quantitative factors. Australian & New Zealand Journal of Statistics 60 (2), 157-277.
  • Yang, P. and Li, W. (2018). Some properties of foldover designs with column permutations. Metrika. Accepted.
  • Yeaman S., Gerstein AC, Hodgins KA, Whitlock MC (2018). Quantifying how constraints limit the diversity of viable routes to adaptation. PLoS Genetics 14, e1007717.
  • Zheng, X. and Mandal, S. (2018). Construction of A-optimal designs for linear models. Proceedings of Manitoba’s Undergraduate Science and Engineering Research 4 (1), 63-68.
  • Zhu, Quing and et al. (2018). Identifying an early treatment window for predicting breast cancer response to neoadjuvant chemotherapy using immunohistopathology and hemoglobin parameters. Breast Cancer Research 20 (1), 56.
  • AC Gerstein, H Lim, J Berman, MA Hickman (2017). Ploidy tug‐of‐war: Evolutionary and genetic environments influence the rate of ploidy drive in a human fungal pathogen. Evolution 71, 1025-1038.
  • AC Gerstein, K Nielsen (2017). It's not all about us: evolution and maintenance of Cryptococcus virulence requires selection outside the human host. Yeast 34, 143-154.
  • Azimaee, P., Jafari Jozani, M., Maddahi, Y., Zareinia, K. and Sutherland, G.R. (2017). Nonparametric Bootstrap Technique for Calibrating Surgical SmartForceps: Theory and Application. Expert Review of Medical Devices 14 (10), 833–843.
  • Azimaee, P., Jafari Jozani, M., Maddahi, Y., Zareinia, K. and Sutherland, G.R. (2017). Calibration of an instrumented surgical forceps using bootstrap technique: A comparative study. Canadian Medical and Biological Engineering Conference (CMBEC40)2017 , 1-5.
  • Chowdhury, M.; Mandal, S.; Ghosh, D.K. and Bagui, S.C. (2017). Optimal structure (k) designs for comparing test treatments with a control. Journal of Statistical Theory and Applications, 16 (1), 96-107.
  • E. Torkashvand, Jafari Jozani, M. and Torabi, M. (2017). Clustering in Small Area Estimation with Area-Level Linear Mixed Models. Journal of the Royal Statistical Society: Series A 180 (4), 1253–1279.
  • Fan J, Kong L, Wang L, Xiu N. (2017). Variable selection in sparse regression with quadratic measurements. Statistica Sinica, forthcoming.
  • Guan, Jing and Wang, Liqun (2017). Instrumental Variable Estimation in Linear Quantile Regression Models with Measurement Error. Chinese Journal of Applied Probability and Statistics 33 (5), 475–486.
  • Hatefi, A. and Jafari Jozani, M. (2017). Proportion estimation based on a partially rank ordered set sample with multiple concomitants in a breast cancer study. Statistical Method in Medical Research 26 (6), 2552–2566.
  • Hatefi, A. and Jafari Jozani, M. (2017). Information content of partially rank-ordered set samples. Advances in Statistical Analysis (AStA) 101 (2), 117-149.
  • Janani, H., Jafari Jozani M. and Kordi, B. (2017). Classification of Simultaneous Multiple Partial Discharge Sources Based on Probabilistic Interpretation Using a Two-Step Logistic Regression Algorithm. IEEE Transactions on Dielectrics and Electrical Insulation 24 (1), 54–65.
  • Jin, Zhiyong and Wang, Liqun (2017). First Passage Time for Brownian Motion and Piecewise Linear Boundaries. Methodology and Computing in Applied Probability 19, 237-253.
  • Jin, Zhiyong and Wang, Liqun (2017). First passage time for Brownian motion and piecewise linear boundaries. Methodology and Computing in Applied Probability 19 (1), 237–253.
  • J Ono, AC Gerstein, SP Otto (2017). Widespread genetic incompatibilities between first-step mutations during parallel adaptation of Saccharomyces cerevisiae to a common environment. PLoS Biology 15, e1002591.
  • Kroeker, K., Widdifield, J., Muthukumarana, S., Jiang, D. and Lix, L. (2017). Model-based methods for case definitions from administrative health data: application to rheumatoid arthritis. BMJ open 7 (6), e016173.
  • Kuwornu, J.P., Teare, G.F., Quail, J.M., Forget, E., Muthukumarana, S., Wang, X.E., Osman, M. and Lix, L.M. (2017). Comparison of the accuracy of classification models to estimate healthcare use and costs associated with COPD exacerbations in Saskatchewan, Canada: A retrospective cohort study. Canadian Journal of Respiratory Therapy 53(3), 37-44.
  • Lin, C. Y., Yang, P., and Cheng, S. W. (2017). Minimum contamination and beta-aberration criteria for screening quantitative factors. Statistica Sinica 27 (2), 607-623.
  • Mandal, S.; Torsney, B. and Chowdhury, M. (2017). Optimal designs for minimising covariances among parameter estimators in a linear model. Australian & New Zealand Journal of Statistics, 59 (3), 255-273.
  • Muthukumarana, S., Martell, D. and Tiwari, R.C. (2017). Meta Analysis of Binary Data with Excessive Zeros in Two-arm Trials. Under Review.
  • Yang, P. and Lin, C. Y. (2017). Optimal split-plot orthogonal arrays. Australian & New Zealand Journal of Statistics 59 (1), 81-94.
  • Zhang, W. and Yang, P. (2017). Optimal investment and consumption with unknown parameters. Communications in Statistics - Theory and Methods 46 (12), 5985-5993.