Old Publications Before 2010

  1. Song, M. Li and Y. Yuan. (2009) Joint Regression Analysis of Correlated Data Using Gaussian Copulas. Biometrics 65, 60-68.
  2. Gao, X, Pu, D.Q. and Song. (2009) Transition Dependency: A Gene-Gene Interaction Measure for Times Series Microarray Data. EURASIP Journal on Bioinformatics and Systems Biology, Vol 2009, Article ID 535869. [ Paper ]. Software: GDEP
  3. Zhang, P., Qiu, Z., Fu, Y. and Song. ((2009) Robust transformation mixed-effects models for longitudinal continuous proportional data. Canadian Journal of Statistics 37, 266-281.
  4. Biswas, A. and Song. (2009) Discrete-Valued ARMA Processes. Statistics and Probability Letters 79, 1884-1889[ paper ].
  5. Song, Z. Jiang, E. Park and A. Qu. (2009) Quadratic inference functions in marginal models for longitudinal data. Statistics in Medicine 28, 3683-3696.
  6. Song. Dispersion Models in Regression Analysis. (2009) Pakistan Journal of Statistics (Invited to the special issue of Silver Jubilee Celebration) 25, 529-551.
  7. P. Zhang, Song, A. Qu and T. Greene. (2008) Efficient estimation for patient-specific rates of disease progression using non-normal linear mixed models. Biometrics 64, 29-38.
  8. C. Czado and Song. (2008) State Space Mixed Models for Longitudinal Observations with Binary and Binomial Responses. Statistical Papers 49, 691-714.
  9. Z. Qiu, Song and M. Tan. (2008) Simplex Mixed-Effects Models for Longitudinal Proportional Data. Scandinavian Journal of Statistics 35, 577-596.
  10. Song, P. Zhang and A. Qu. (2007) Maximum likelihood inference in robust linear mixed-effects models using multivariate t distributions. Statistica Sinica 17, 929-943.
  11. B. Jorgensen and Song. (2007) Stationary state space models for longitudinal data. Canadian Journal of Statistics 35, 461-483.
  12. H. Lin, Song and Q. M. Zhou. (2007) Varying-Coefficient Marginal Models and Applications in Longitudinal Data Analysis. Sankhya 69, 581-614.
  13. Peng Zhang, X. Wang and Song. (2006) Clustering categorical data based on distance vectors. JASA 101, 355-367.
  14. X. Lu, G. Chen, R. Singh and Song. (2006) A class of partially linear single-index survival models. Canadian Journal of Statistics 34, 97-112.
  15. Song, Gao, Liu and Le. (2006) Nonparametric Inference for Local Extrema With Application to Oligonucleotide Microarray Data in Yeast Genome. Biometrics 62, 545-554. Supplementary documents of yeast genome data analysis.
  16. M. Li, M. Boehnke, G. R. Abecasis and Song. (2006) Quantitative Trait Linkage Analysis using Gaussian Copulas. Genetics 173:2317-2327.
  17. B. Jorgensen and Song. (2006) Diagnosis of stationarity in state space models for longitudinal data. Far East Journal of Theoretical Statistics (Special Volume in Biostatistics and related topics), 19, 43-59.
  18. Song and Feng Dingan. (2005) On parameter estimation for exponential dispersion ARMA models. JOURNAL OF TIME SERIES ANALYSIS 26, 843-862. [.pdf]file.
  19. Song, Fan and Kalbfleisch. (2005) Maximization by parts in likelihood inference. JASA (with discussion) 100, 1145-1158.
  20. Song, Fan and Kalbfleisch. (2005) Rejoinder: Maximization by parts in likelihood inference. JASA 100, 1164-1167.
  21. Gao and Song. (2005) Nonparametric tests for differential gene expression and interaction effects in multi-factorial microarray experiments. BMC Bioinformatics 2005, 6:186
  22. Qu and Song. (2004) Assessing robustness of generalized estimating equations and quadratic inference function. BIOMETRIKA 91, 447-459. [.pdf]file.
  23. Dingan Feng, Jiang and Song. (2004) Stochastic Conditional Duration Models with "Leverage Effect" for Financial Transaction Data. JOURNAL OF FINANCIAL ECONOMETRICS 2, 390-421. [.pdf]file.
  24. Clarke and Song. (2004) Approximating dependence structures of repeated stochastic processes. SANKHYA 66, 536-547. [.pdf]file.
  25. Song, Zhenguo Qiu and Tan. (2004) Modelling heterogeneous dispersion in marginal simplex models for longitudinal continuous proportional data. BIOMETRICAL JOURNAL 46, 540-553. [.pdf] file.
  26. Qiu, Song and Tan (2002) Bayesian hierarchical analysis of multi-level repeated ordinal data using WinBUGS. JOURNAL OF BIOPHARMACEUTICAL STATISTICS 12, 121-135.
  27. Qu and Song (2002) Testing ignorable missingness in estimating equation approaches for longitudinal data. BIOMETRIKA 89, 841-850.
  28. Sun and Song (2001) Statistical analysis of repeated measurements with informative cersoring times. STATISTICS IN MEDICINE 20, 63-73.
  29. Song (2000) Multivariate dispersion models generated from Gaussian copula. SCANDINAVIAN JOURNAL OF STATISTICS 27, 305-320.
  30. Song and Tan (2000) Marginal models for longitudinal continuous proportional data. BIOMETRICS 56, 496-502.
  31. Song (2000) Monte Carlo Kalman filter and smoothing for multivariate discrete state space models. CANADIAN JOURNAL OF STATISTICS 28, 641-252.
  32. Song and Jiang (2000) Assessing conditional independence for log-linear Poisson models with random effects. COMMUNICATIONS IN STATISTICS - THEORY METH, Special Issue of Applied Statistics, 29 (5&6), 1233-1245.
  33. B. Jorgensen, S. Lundbye-Christensen, Song and L. Sun (1999) A state space model for multivariate longitudinal count data. BIOMETRIKA 86, 169-181.
  34. B. Jorgensen and Song (1998) Stationary Time Series Models With Exponential Dispersion Model Margins. JOURNAL OF APPLIED PROBABILITY 35, 78-92.
  35. B. Jorgensen and Song (1998) Stationary state space models for longitudinal data. Research report #9, Department of Statistics and Demography, Odense University, Denmark.
  36. B. Jorgensen and Song (1998) To be or not to be stationary. Research report #10, Department of Statistics and Demography, Odense University, Denmark.
  37. Song (1997) Generating Dependent Random Numbers With Given Correlations and Margins from Exponential Dispersion Models. JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION 56, 317-335.
  38. B. Jorgensen, S. Lundbye-Christensen, Song and L. Sun (1996) A longitudinal study of emergency room visits and air pollution for Prince George, British Columbia. STATISTICS IN MEDICINE 15, 823-836.
  39. B. Jorgensen, S. Lundbye-Christensen, Song and L. Sun (1996) State Space Models for Multivariate Longitudinal Data of Mixed Types. CANADIAN JOURNAL OF STATISTICS 24, 385-402
  40. Song (1993) A proof of the recursion relation in the theory of orthogonal regression. (Chinese) Math. Practice Theory 2, 70-77. (In MathSciNet)
  41. Song (1993) The asymptotically optimal rate of an empirical Bayesian distribution function. (Chinese) Journal of Systems Sciences and Mathematical Sciences, 13, 242-244. (In both CIS and MathSciNet)
  42. Song (1992) The Linear Empirical Bayes Approach To Multiple Linear Regression Models. (Chinese) Acta Math. Appl. Sinica 5, 443-450. (In both CIS and MathSciNet)
  43. Song (1991) Strong consistency for nonparametric cumulative survival hazard estimation from randomly censored data. (Chinese) Journal of Southwest Jiaotong University, 38-43
  44. Song (1989) A sufficient and necessary condition for asymptotically optimal empirical Bayesian estimation. (Chinese) Journal of Southwest Jiaotong University, 88-91.
  45. Song (1988) On multidimensional linear empirical Bayes estimation. (Chinese) Journal of Mathematical Statistics and Applied Probability, 3(4), 459-466.

PhD Dissertation

    Song (1996) Some statistical models for the multivariate analysis of longitudinal data. Department of Statistics, University of British Columbia, Vancouver, supervised by B. Jorgensen.

A book

    Correlated Data Analysis: Modeling, Analytics and Applications. [Table of Contents]

Presentations

  1. Song, L. Li and D. Smith (1994) The Significance of Liver Functions of Women with Breast Cancer. Presented in the 1994's Conference of Statistical Society of Canada, Banff, Alberta.
  2. Song (1995) Stationary time series models with non-normal margins. Department of Statistics, University of British Columbia.
  3. Song (1996) ARMA models with exponential dispersion model margins Department of Mathematics and Statistics, York University.
  4. Song (1997) Some thoughts on GEE: extension, justification, and alternatives Department of Statistics and Acturial Sciences, University of Waterloo.
  5. Song (1997) A class of multivariate dispersion models and its application to regression analysis, International Symposium on Multivariate Analysis 97, Hong Kong.
  6. Song (1997) Stationary state space models for longitudinal data. 1997's SSC, Fredericton, NB.
  7. Song (1997) Marginal models for longitudinal compositional data. Department of Mathematics and Statistics, McMaster University.
  8. Song (1998) Tweedie log-linear models for longitudinal data with random effects and internal correlation. The 4th ICSA conference, Yunan University, China
  9. Song (1998) Longitudinal data analysis: theory and methods -- A brief review. Department of Applied Mathematics, TongJi University, China
  10. Song (1998) State space models for multivariate longitudinal data. Department of Mathematics, Sichuan University, China
  11. Song (1998) State space models for longitudinal data. Department of Statistics, University of Missouri, Columbia.
  12. Song (1999) Monte Carlo Kalman filter and smoothing for multivariate discrete state space models. Department of Mathematics and Statistics, York University.
  13. Song (1999) Monte Carlo Kalman filter and smoothing for multivariate discrete state space models. 99 SSC, University of Regina.
  14. Song (1999) Tweedie log-linear models for longitudinal data with random effects and internal correlation. 99 ICSA Applied Statistics Symposium, Georgetown University, USA
  15. Song (1999) Multivariate dispersion models and longitudinal data analysis. Zentrum Mathematik, Techische Universitat, Munchen, Germany.
  16. Song (1999) Monte Carlo Kalman filter and smoothing for multivariate discrete state space models. Department of Statistics and Demography, University of Southern Denmark, Odense, Denmark.
  17. Song (1999) Marginal dispersion models for longitudinal data. Department of Statistics, Northwestern University, USA.
  18. Song (2000) Marginal dispersion models for longitudinal data. 2000 SSC Conference, Unversity of Ottawa.
  19. Song (2000) Analyzing longitudinal data using dispersion models. 21st Century Statistics, University of Maine, Orono, USA.
  20. Song (2000) Statistical analysis of repeated measurements with informative censoring times. Department of Statistics, UBC.
  21. Song (2000) MCMC algorithm for discrete dynamic regression models. Department of Mathematics and Statistics, University of Guelph.
  22. Song (2001) Statistical analysis of repeated measurements with informative censoring times. Department of Statistics and Acturial Science, University of Waterloo.
  23. Song (2001) Statistical Analysis of repeated measurements with informative censoring times. Department of Statistics, Oregon State University.
  24. Song (2001) Testing for nonignorable missingness in longitudinal studies. 2001 Applied Statistics Conference, Concordia University, Quebec.
  25. Song (2001) Dispersion models for longitudinal data analysis. 2001 Joint Statistical Meeting, Atlanta.
  26. Song (2001) Dispersion models for longitudinal data. 2001 ICSA Conference, Hong Kong.
  27. Song (2001) Generalized linear models and related topics (A five-day short course). Faculty of Mathematics, Sichuan University, Chengdu, China.
  28. Song (2001) Some mathematical problems in bioinformatics. Department of Applied Mathematics, Southwest Jiaotong University, Chengdu, China.
  29. Song (2001) Testing for igorable missingness in estimating equation approaches for longitudinal data. Department of Mathematics and Statistics, York University.
  30. Song (2002) Statistical analysis of repeated measurements with informative drops. Department of Mathematics, University of North Carolina-Charlotte.
  31. Song (2002) Some issues in quality of life studies in clincial trials. School of Health Professions, University of North Carolina-Charlotte.
  32. Song (2002) Varying coefficient generalized linear models. The 3rd Statistics Workshop, University of Manitoba, Winnipeg, Canada
  33. Song (2002) Varying coefficient generalized linear models for longitudinal data. Department of Biostatistics, University of Michigan, Ann Arbor
  34. Song (2003) Varing coefficient marginal models and applications in longitudinal data analysis. Department of Biostatistics and Epidemiology, Cleveland Clinical Foundation.
  35. Song (2003) Efficient Local Quasi-Likelihood Inference In Varying-Coefficient Linear Regression Models The 2003 JSM, San Francisco.
  36. Song (2003) Maximization by parts in likelihood inference. Department of Mathematics and Statistics, York University.
  37. Song (2003) Maximization by parts in likelihood inference. Department of Statistics, University of Toronto.
  38. Song (2003) Maximization by parts in likelihood inference. Department of Statistics and Actuarial Science, University of Waterloo.
  39. Song (2003) Statistical methods for informative drops in clinical longitudinal data. National Cancer Institute of Canada Annual Meeting.
  40. Song (2004) Vector generalized linear models. Department of Biostatistics, Harvard University.