Jiguo Cao's Research

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== Research Interests ==


Statistical Methodology Papers in Refereed Journals

  1. Hua Liu, Jinhong You, and Jiguo Cao, 2021, "A Dynamic Interaction Semiparametric Function-on-Scalar Model". Accepted by Journal of the American Statistical Association.
  2. Tianyu Guan, Robert Nguyen, Jiguo Cao, and Tim B. Swartz, 2021, "In-game Win Probabilities for the National Rugby League". Accepted by Annals of Applied Statistics.
  3. Yin Song, Shufei Ge, Jiguo Cao, Liangliang Wang, and Farouk Nathoo, 2021, "A Bayesian Spatial Model for Imaging Genetics". Accepted by Biometrics. Preprint available on arXiv:1901.00068. An R package ‘bgsmtr’ implementing the methods from this paper is available on CRAN https://cran.r-project.org/web/packages/bgsmtr/.
  4. Xiong Cai, Liugen Xue, Jiguo Cao, 2021, "Variable Selection for Multiple Function-on-Function Linear Regression". Accepted by Statistica Sinica. It has a supplementary file.
  5. Shu Jiang, Jiguo Cao, Graham A. Colditz, and Bernard Rosner, 2021, "Predicting the Onset of Breast Cancer using Mammogram Imaging data with Irregular Boundaryl". Accepted by Biostatistics.
  6. Yunlong Nie, Yuping Yang, Liangliang Wang and Jiguo Cao, 2021, "Recovering the Underlying Trajectory from Sparse and Irregular Longitudinal Data". Accepted by Canadian Journal of Statistics. It has a supplementary file.
  7. Haolun Shi, Da Ma, Mirza Faisal Beg, and Jiguo Cao, 2021, "A Functional Proportional Hazard Cure Rate Model for Interval Censored Data". Accepted by Statistical Method in Medical Research.
  8. Baisen Liu, Liangliang Wang, Yunlong Nie, and Jiguo Cao, 2021, "Semiparametric Mixed-effects Ordinary Differential Equation Models with Heavy-Tailed Distributions". Accepted by Journal of Agricultural, Biological and Environmental Statistics. It has a supplementary file. The Matlab codes for the simulation studies are also available at https://github.com/caojiguo/SMODE.
  9. Haolun Shi, Jiguo Cao, Ying Yuan, and Ruitao Lin, 2021, "uTPI: A Utility-Based Toxicity Probability Interval Design for Dose Finding in Phase I/II Trials". Accepted by Statistics in Medicine.
  10. Peijun Sang, Mehmet A. Begen and Jiguo Cao, 2021, "Appointment Scheduling Optimization with a Quantile Function Objective". Accepted by Computers & Operations Research.
  11. Haolun Shi, Jianghu Dong, Liangliang Wang, and Jiguo Cao, 2021, "Functional Principal Component Analysis for Longitudinal Data with Informative Dropout". Statistics in Medicine, 40, 712–724.
  12. Xiong Cai, Liugen Xue, Jiguo Cao, 2021, "Robust Estimation and Variable Selection for Function-on-Scalar Regression". Accepted by Canadian Journal of Statistics.
  13. Haolun Shi and Jiguo Cao, 2021, "Robust Functional Principal Component Analysis Based on a New Regression Framework". Journal of Agricultural, Biological and Environmental Statistics. It has a supplementary file.
  14. Jianghu (James) Dong, Jiguo Cao, Jagbir Gill, Clifford Miles, and Troy Plumb, 2021, "Functional Joint Models for Chronic Kidney Disease in Kidney Transplant Recipients". Accepted by Statistical Methods in Medical Research.
  15. Haolun Shi, Da Ma, Yunlong Nie, Mirza Faisal Beg, Jian Pei, and Jiguo Cao, 2021, "Early Diagnosis of Alzheimer's Disease on ADNI Data Using Novel Longitudinal Score Based on Functional Principal Component Analysis". Accepted by Journal of Medical Imaging.
  16. Jianghu (James) Dong, Haolun Shi, Liangliang Wang, Ying Zhang, and Jiguo Cao, 2021, "Jointly Modelling Multiple Transplant Outcomes by a Competing Risk Model via Functional Principal Component Analysis". Accepted by Journal of Applied Statistics. 1-22
  17. Xiong Cai, Liugen Xue, Jiguo Cao, 2021, "Robust Penalized M-estimation for Function-on-Function Linear Regression". Accepted by Stat.
  18. Fei Jiang, Seungchul Baek, Jiguo Cao, and Yanyuan Ma, 2020, "A Functional Single Index Model". Statistica Sinica, 30, 303-324. It has a supplementary file.
  19. Yunlong Nie, and Jiguo Cao, 2020, "Sparse Functional Principal Component Analysis in a New Regression Framework". Computational Statistics and Data Analysis, 152, 107016. It has a supplementary file. The R codes for the simulation studies are also available at https://github.com/caojiguo/sparseFPCA.
  20. Haixu Wang, and Jiguo Cao, 2020, "Estimating Time-varying Directed Neural Networks". Statistics and Computing, 30, 1209-1220. It has a supplementary file. The R codes for the simulation studies are also available at https://github.com/caojiguo/NeuralNetwork.
  21. Peijun Sang, Liangliang Wang, and Jiguo Cao, 2020, "Estimation of Sparse Functional Additive Models with Adaptive Group LASSO". Statistica Sinica, 30, 1191-1211. It has a supplementary file. The computing scripts for all simulation studies can be downloaded at https://github.com/caojiguo/fam. This paper is selected as the Statistica Sinica Highlight by the Statistica Sinica Editorial Board.
  22. Chuyuan Lin, Ying Yu, Yifan Wu, and Jiguo Cao, 2020, "Unsupervised Learning on U.S. Weather Forecast Performance". Accepted by Computational Statistics. It has a supplementary file. The R codes for the application and simulation studies are also available at https://github.com/cherlanelin/Unsupervised-Learning-on-U.S.-Weather-Prediction-Accuray.git.
  23. Tianyu Guan, Zhenhua Lin, and Jiguo Cao, 2020, "Estimating Truncated Functional Linear Models with a Nested Group Bridge Approach". Journal of Computational and Graphical Statistics, 29(3),620-628. It has a supplementary file. The R codes for the simulation studies are also available at https://github.com/caojiguo/TruFunLM. An R package ngr has been developed for implementing the proposed method. The R package and a demonstration are provided at https://github.com/caojiguo/TruFunLM.
  24. Peijun Sang and Jiguo Cao, 2020, "Functional Single-index Quantile Regression Models". Statistics and Computing, 30, 771-781. It has a supplementary file. The R codes for the application and simulation studies are also available at https://github.com/caojiguo/FunSIQ
  25. Yunlong Nie, Eugene Opoku, Laila Yasmin, Yin Song, Jie Wang, Sidi Wu, Vanessa Scarapicchia, Jodie Gawryluk, Liangliang Wang, Jiguo Cao, and Farouk S. Nathoo, 2020, "Spectral Dynamic Causal Modelling of Resting-State fMRI: Relating Effective Brain Connectivity in the Default Mode Network to Genetics". Statistical Applications in Genetics and Molecular Biology, 19(3), 20190058.
  26. Jiguo Cao, Kunlaya Soiaporn, Raymond J. Carroll and David Ruppert, 2019, "Modeling and Prediction of Multiple Correlated Functional Outcomes". Journal of Agricultural, Biological, and Environmental Statistics, 24(1), 112–129. It has a supplementary file.
  27. Da Ma, Karteek Popuri, Mahadev Bhalla, Oshin Sangha, Donghuan Lu, Jiguo Cao, Claudia Jacova, Lei Wang, Mirza Faisal Beg, 2019, "Quantitative Assessment of Field Strength, Total Intracranial Volume, Sex and Age Effects on the Goodness of Harmonization for Volumetric Analysis on the ADNI Database". Human Brain Mapping, 40(5), 1507-1527.
  28. Peijun Sang, Liangliang Wang, and Jiguo Cao, 2019, "Weighted Empirical Likelihood Inference for Dynamical Correlations". Computational Statistics & Data Analysis, 131, 194-206. The computing scripts for all simulation studies can be downloaded at https://github.com/caojiguo/WEL
  29. Baisen Liu, Liangliang Wang, Yunlong Nie, and Jiguo Cao, 2019, "Bayesian Inference of Mixed-effects Ordinary Differential Equations Models Using Heavy-tailed Distributions". Computational Statistics and Data Analysis, 137, 233-246. It has a supplementary file.
  30. Jianghu (James) Dong, Shijia Wang, Liangliang Wang, Jagbir Gill, and Jiguo Cao, 2019, "Joint modelling for organ transplantation outcomes for patients with diabetes and the end-stage renal disease". Statistical Methods in Medical Research, 28(9), 2724-2737. It has a supplementary file. The computing scripts for all simulation studies can be downloaded at https://github.com/caojiguo/JointModel/
  31. Peijun Sang, Richard Lockhart, and Jiguo Cao, 2018, "Sparse Estimation for Functional Semiparametric Additive Model". Journal of Multivariate Analysis, 168, 105-118. It has a supplementary file. The computing scripts for all simulation studies can be downloaded at https://github.com/caojiguo/FSAM
  32. Yunlong Nie, Liangliang Wang, Baisen Liu and Jiguo Cao, 2018, "Supervised Functional Principal Component Analysis". Statistics and Computing, 28(3), 713-723. It has a supplementary file.
  33. Jiguo Cao, 2018, "Statisticians can Do Better in the Big Data Era". Statistics & Probability Letters, 136, 146-147.
  34. Baisen Liu, Liangliang Wang and Jiguo Cao, 2018, "Bayesian Estimation of Ordinary Differential Equation Models when the Likelihood Has Multiple Local Modes". Monte Carlo Methods and Applications, 24(2), 117–127.
  35. Jianghu (James) Dong, Liangliang Wang, Jagbir Gill and Jiguo Cao, 2018, "Functional Principal Component Analysis of GFR Curves after Kidney Transplant". Statistical Methods in Medical Research, 27(12):3785-3796. It has a supplementary file.
  36. Jingfei Zhang and Jiguo Cao, 2017, "Finding Common Modules in a Time-Varying Network with Application to the Drosophila Melanogaster Gene Regulation Network". Journal of the American Statistical Association, 112, 994-1008. It has a supplementary file
  37. Yunlong Nie, Liangliang Wang and Jiguo Cao, 2017, "Estimating Time-Varying Directed Gene Regulation Networks". Biometrics, 73, 1231-1242. It has a supplementary file.
  38. Baisen Liu, Liangliang Wang, Jiguo Cao, 2017, "Estimating Functional Linear Mixed-Effects Regression Models". Computational Statistics & Data Analysis, 106, 153-164.
  39. Peijun Sang, Liangliang Wang and Jiguo Cao, 2017, "Parametric Functional Principal Component Analysis". Biometrics, 73, 802-810. The supplementary file and R codes can be downloaded at http://people.stat.sfu.ca/~cao/Research/PFPCA.htm
  40. Xinyu Zhang, Jiguo Cao, Raymond J. Carroll, 2017, "Estimating Varying Coefficients for Partial Differential Equation Models". Biometrics, 73, 949-959.
  41. Zhenhua Lin, Jiguo Cao, Liangliang Wang, Haonan Wang, 2017, "Locally Sparse Estimator for Functional Linear Regression Models". Journal of Computational and Graphical Statistics, 26, 306-318. The supplementary file, an R package, and Matlab codes can be downloaded at http://people.stat.sfu.ca/~cao/Research/FLR/
  42. Jiguo Cao, Liangliang Wang, Zhongwen Huang, Junyi Gai, and Rongling Wu, 2017, "Functional Mapping of Multiple Dynamic Traits". Journal of Agricultural, Biological, and Environmental Statistics, 22, 60-75..
  43. Nicole Croteau, Farouk S Nathoo, Jiguo Cao, Ryan Budney, 2017, "High-Dimensional Classification for Brain Decoding". Springer Publishing: Edited Refereed Volume/Book, Theme: Big and Complex Data Analysis: Statistical Methodologies and Applications.
  44. Zhenhua Lin, Liangliang Wang, Jiguo Cao, 2016, "Interpretable Functional Principal Component Analysis". Biometrics, 72, 846-854. This paper has a supplementary file. The computing code can be download here.
  45. Xinyu Zhang, Jiguo Cao, Raymond J. Carroll, 2015, "On the Selection of Ordinary Differential Equation Models With Application to Predator-Prey Dynamical Models". Biometrics, 71, 131-138.
  46. Douglas G. Woolford, Charmaine B. Dean, David L. Martell,Jiguo Cao, B.M. Wotton, 2014, "Lightning-caused Forest Fire Risk in Northwestern Ontario, Canada is Increasing and Associated with Anomalies in Fire-Weather". Environmetrics, 25, 406–416.
  47. Liangliang Wang, Jiguo Cao, James O. Ramsay, D. Burger, C. Laporte, J. Rockstrohk (2014), "Estimating Mixed-Effects Differential Equation Models". Statistics and Computing, 24, 111-121.
  48. X. Xun, J. Cao, B. Mallick, A. Maity, and R. J. Carroll(2013) "Parameter Estimation of Partial Differential Equation Models". Journal of the American Statistical Association, 108, 1009-1020. Download the supplementary file.
  49. X. Wang, J. Cao, and J.Z. Huang (2013) "Analysis of Variance based on Integro-Differential Equations". Journal of Agricultural, Biological, and Environmental Statistics, 18, 475-491.
  50. W. Luo, Jiguo Cao, M. Gallagher, and J. Wiles (2013) "Estimating the Intensity of Ward Admission and its Effect on Emergency Department Access Block". Statistics in Medicine, 32, 2681-2694.
  51. O. Chkrebtii and J. Cao (2013) "Modeling Spatio-Temporal Trends in the Productivity of North Pacific Salmon". Environmetrics, 24, 31-40. Download the supplementary file.
  52. J. Cao, J. Z. Huang and H. Wu (2012) "Penalized Nonlinear Least Squares Estimation of Time-Varying Parameters in Ordinary Differential Equations". Journal of Computational and Graphical Statistics, 21, 42-56.
  53. J. Cao, J. Cai, L. Wang (2012) "Estimating Curves and Derivatives with Parametric Penalized Spline Smoothing". Statistics and Computing, 22(5), 1059-1067.
    • A Matlab package is developed for Parametric Penalized Spline Smoothing. Please download the package here. You also need to download the FDA package to use it. There is also a web-page demonstration for how to use this package.
  54. J. Cao and W. Yao (2012) "Semiparametric Mixture of Binomial regression with a degenerate component". Statistica Sinica, 22, 27-46.
  55. J. Cao (2012) "Estimating Generalized Semiparametric Additive Models using Parameter Cascading". Statistics and Computing, 22(4), 857-865.
  56. L. Wang and J. Cao (2012) "Estimating Parameters in Delay Differential Equation Models". Journal of Agricultural, Biological, and Environmental Statistics, 17, 68-83.
  57. R. Wu and J. Cao (2011) "Blockwise empirical likelihood for time series of counts". Journal of Multivariate Analysis, 102(3), 661-673.
  58. R. Wu*, J. Cao*, Z. Huang, Z. Wang, J. Gai and E. Vallejos (2011) "Systems mapping: how to improve the genetic mapping of complex traits through design principles of biological systems". BMC Systems Biology 5:84, 1-24.(*These two authors contributed to this work equally) A more detailed version of this paper can be downloaded here.
  59. L. M. Ainsworth, R. Routledge, and J. Cao (2011) "Functional Data Analysis in Ecosystem Research: the Decline of Oweekeno Lake Sockeye Salmon and Wannock River Flow". Journal of Agricultural, Biological, and Environmental Statistics, 16(2), 282-300.
  60. J. Cao, L. Wang and J. Xu (2011) "Robust Estimation for Ordinary Differential Equation Models". Biometrics, 67, 1305-1313.
  61. C. X. Feng, J. Cao, and L. Bendell-Young (2011) "Exploring Spatial and Temporal Variations of Cadmium Concentrations in Pacific Oysters from British Columbia". Biometrics, 67, 1142-1152.
  62. J. Chen, W. Li, A. Lau, J. Cao and K. Wang (2010) "Automated Load Curve Data Cleansing in Power Systems". IEEE Transactions on Smart Grid, 1 (2), 213-221.
  63. D. G. Woolford, J. Cao, C. B. Dean, and D. L. Martell (2010) "Looking for climate change signals in the fire ignition record for a region of the Canadian boreal forest". Environmentrics 21, 1-8
  64. J. Cao, J. O. Ramsay (2010) "Linear Mixed Effects Modeling by Parameter Cascading". Journal of the American Statistical Association, 105(489): 365-374.
  65. J. Cao, J. O. Ramsay (2009) "Generalized Profiling Estimation for Global and Adaptive Penalized Spline Smoothing". Computational Statistics and Data Analysis, 53, 2550-2562.
  66. J. Cao, H. Zhao (2008) "Estimating dynamic models for gene regulation networks". Bioinformatics, 24, 1619-1624.
  67. J. Cao, G. Fussmann, J. O. Ramsay (2008) "Estimating a Predator-Prey Dynamical Model with the Parameter Cascades Method". Biometrics, 64, 959-967.
  68. J. Cao, J. O. Ramsay (2007) "Parameter Cascades and Profiling in Functional Data Analysis". Computational Statistics, 22(3), 335-351.
  69. J. O. Ramsay, G. Hooker, D. Campbell, and J. Cao (2007), "Parameter estimation for differential equations: a generalized smoothing approach" (with discussion). Journal of the Royal Statistical Society, Series B, 69,741-796.

Statistical Application Papers in Refereed Journals

  1. Anqi Jiao, Qianqian Xiang, Zan Ding, Jiguo Cao, Hung Chak Ho, Dieyi Chen, Jian Cheng, Zhiming Yang, Faxue Zhang, Yong Yu, Yunquan Zhang, 2020, ``Short-term impacts of ambient fine particulate matter on emergency department visits: Comparative analysis of three exposure metrics", Chemosphere, 241:125012.
  2. Beverly Hannah, Yue Wang, Allard Jongman, Joan A Sereno, Jiguo Cao and Yunlong Nie, 2017, ``Cross-modal association between auditory and visuospatial information in Mandarin tone perception in noise by native and non-native perceivers". Frontiers in Psychology, 8:2051.
  3. Gerald S. Zavorsky, Connie C. W. Hsia, J. Michael B. Hughes, Colin D. R. Borland, Hervé Guénard, Ivo van der Lee, Irene Steenbruggen, Robert Naeije, Jiguo Cao, Anh Tuan Dinh-Xuan, 2016, ``Standardization and application of the single-breath determination of nitric oxide uptake in the lung". European Respiratory Journal, 49. pii: 1600962.
  4. Mikael Sodergren, Colleen McGregor, Hugo A. Farne, Jiguo Cao, Zhijun Lv, Sanjay Purkayastha, Thanos Athanasiou, Ara Darzi, Paraskevas Paraskeva, 2013, ``A randomized comparative study evaluating learning curves of novices in a basic single-incision laparoscopic surgery task". Journal of Gastrointestinal Surgery, 17, 569-575.
  5. Nicoleta O. Kolozsvari, Amin Andalib, Pepa Kaneva, Jiguo Cao, Melina C. Vassiliou, Gerald M. Fried, Liane S. Feldman, 2011, ``Sex is not everything: The role of gender in early performance of a fundamental laparoscopic skill". Surgical Endoscopy, 25, 1037-1042.
  6. Nicoleta O. Kolozsvari, Pepa Kaneva, Chantalle Brace, Genevieve Chartrand, Marilou Vaillancourt, Jiguo Cao, Daniel Banaszek, Melina C. Vassiliou, Gerald M. Fried, Liane S. Feldman, 2011, ``Mastery versus standard proficiency target for basic laparoscopic skill training: Effect on skill transfer and retention". Surgical Endoscopy, 25, 2063 2070.
  7. Lorenzo E. Ferri, Jonathan Cools-Lartigue, Jiguo Cao, Linda Miller, Serge Mayrand, Gerald M. Fried, and Gail Darling, 2010, ``Clinical Predictors of Achalasia". Diseases of the Esophagus, 23, 76-81.
  8. Liane S. Feldman, Jiguo Cao, Amin Andalib, Shannon Fraser, and Gerald M. Fried, 2009, ``A method to characterize the learning curve for performance of a fundamental laparoscopic simulator task: Defining `learning potential' and `learning rate'\,". Surgery, 146(2), 381-386.
  9. Gerald S. Zavorsky, Jiguo Cao, and Juan Murias, 2008, ``Reference values of pulmonary diffusing capacity for nitric oxide in an adult population". Nitric Oxide, 18, 70-79.
  10. Gerald S. Zavorsky, Jiguo Cao, Nancy E. Mayo, Rina Gabbay, and Juan M. Murias, 2007, ``Arterial versus Capillary Blood Gases: a Meta-analysis". Respiratory Physiology \& Neurobiology, 155(3), 268-279.
  11. A. L. McCluney, M. C. Vassiliou, P. A. Kaneva, Jiguo Cao, D. D. Stanbridge, L. S. Feldman, and G. M. Fried, 2007, ``FLS simulator performance predicts intraoperative laparoscopic skill", Surgical Endoscopy, 21(11), 1991-1995.
  12. A. Taqi, L. S. Feldman, N. E. Mayo, Jiguo Cao, J. Winocour, F. Carli, G. M. Fried, 2006, ``Validation of the Two Minute Walk Test (2MWT) as an objective measure of in-hospital postoperative recovery", Journal of Surgical Research, 130(2), 211.
  13. Jiguo Cao, Marie-France Valois, and Mark S. Goldberg, 2006, ``An S-Plus Function to Calculate Relative Risks for Regression Models Using Natural Splines", Computer Methods and Programs in Biomedicine 84, 58-62.

Refereed Publications in Conference Proceedings

  1. Jiguo Cao and Guangzhe Fan, 2010, ``Signal Classification Using Random Forest with Kernels", AICT, page 191-195, IEEE Sixth Advanced International Conference on Telecommunications.
  2. Guangzhe Fan, Jiguo Cao, and Jiheng Wang, 2010, ``Functional Classification for Temporal Gene Expression Data with Kernel-Induced Random Forest", page 77-81, IEEE Symposium of Computational Intelligence of Bioinformatics and Computational Biology.

Software Packages

  1. Barinder Thind, Sidi Wu, Richard Groenewald, and Jiguo Cao, 2020, "FuncNN". An R package to fit functional neural network models. This package will allow users to build deep learning models that have either functional or scalar responses paired with functional and scalar covariates.
  2. Haixu Wang and Jiguo Cao, 2019, "pCODE". An R package for the Parameter Cascading Method for estimating ordinary differential equation models with missing or complete observations. It combines smoothing method and profile estimation to estimate any non-linear dynamic system. The package also offers variance estimates for parameters of interest based on either bootstrap or Delta method.
  3. Joel Therrien and Jiguo Cao, 2019, "largeRCRF". An R package designed to train competing risks random forests on large datasets.

Non-refereed contributions

  1. Peijun Sang, Yunlong Nie, and Jiguo Cao, 2015, ``Comments on: Probability Enhanced Effective Dimension Reduction for Classifying Sparse Functional Data", TEST.
  2. Jiguo Cao, Xin Qi and Hongyu Zhao, 2012, ``Modelling gene regulation networks using ordinary differential equations", Chapter 12 in the book Next Generation Microarray Bioinformatics, Humana Press, edited by Junbai Wang, Aik-choon Tan, and Tianhai Tian.
  3. Jiguo Cao and Liangliang Wang, 2011, Discussion of the paper ``Riemann manifold Langevin and Hamiltonian Monte Carlo methods" by Girolami and Calderhead. Journal of the Royal Statistical Society, Series B 73, 177-178.
  4. Jiguo's PhD Thesis (2006)