Grace Y. Yi, Richard J. Cook (S), and Baojiang Chen, University of Waterloo and University of Washington

Estimating Functions for Evaluating Treatment Effects in Clustered-Randomized Longitudinal Studies in the Presence of Drop-out and Non-compliance

William T.M. Dunsmuir, The University of New South Wales

Inference and Computational Methods for Regression Modeling in Multiple Time Series of Counts with Random Effects

Marco Alfo' (S) and Antonello Maruotti, University of Rome 'La Sapienza', Italy

Two-part Regression Models for Longitudinal Zero-inflated Count Data

Vandna Jowaheer,Gary Sneddon (S), and Brajendra C. SutradharUniversity of Mauritius and Memorial University

Maximum Quasi-likelihood versus Generalized Absolute-deviation Based Quasi-likelihood Inferences for Median Regression

Joel A. Dubin (S) and Xiaoqin Xiong, University of Waterloo

Investigating the Feasibility of Binning for Analyzing Mixed Longitudinal Data Measured at Distinct Time Points: A Simulation Study

Yunqi Ji (S) and Zhaozhi Fan, Memorial University

Analysis of Longitudinal Binary Data with Misclassification

Raymond J. Carroll, Texas A & M University

Hierarchical Functional Data: Semi-parametric and Nonparametric Methods for Modeling Functional Dependence, With Application to Colonic Crypt Signaling

Terry C.K. Lee, Leilei Zeng and Charmaine B. Dean (S), Simon Fraser University

An Imputation Based Method for Joint Modeling of Interval Censored Tree Growth and Mortality Data

Renè Holst, University of Southern Denmark, Denmark

Efficient and Robust Estimation for Longitudinal Mixed Models for Binary Data

R. Prabhakar, Rao (S) and Brajendra Sutradhar, Sri Sathya Sai University, India and Memorial University

Bias Corrected Quasi-likelihood Inferences in Generalized Linear Longitudinal Models for Count Data with Measurement Error

Mido Chang, Virginia Tech, USA

Does Nonparametric Maximum Likelihood Make a Difference in Estimation?

JC Loredo-Osti (S) and Brajendra C. Sutradhar, Memorial University

Analysis of Non-linear Multinomial Time Series

Emily L. Kang, Noel Cressie (S), and Tao Shi, The Ohio State University

Using Temporal Variability to Improve Spatial Mapping with Application to Satellite Data

Brajendra Sutradhar and Alwell Oyet (S), Memorial University

On Conditional Quasi-likelihood Inferences with Negative Binomial Offspring and Immigration

Arindom Chakraborty (S) and Kalyan Das, Visva-Bharati University and University of Calcutta, India

Joint modeling of Time to Event Data and Repeated Ordered Longitudinal Scores Subject to Linear Mixed Model

Bingrui Sun (S) and Brajendra C. Sutradhar, Memorial University

GMM versus GQL Inferences in Linear Mixed Models with Dynamic Mean Structure

Vickneswary Tagore (S), Brajendra Sutradhar and R. Prabhakar Rao,Memorial University and Sri Sathya Sai University, India

GQL Inferences in Linear Dynamic Stochastic Volatility Models

Mary E. Thompson, University of Waterloo

Models for longitudinal survey data

Brajendra Sutradhar and Taslim S. Mallick (S), Memorial University

Conditional Weighted Generalized Quasi-likelihood Inferences in Incomplete Longitudinal Binary Models

Daniel Li (S) and Liqun Wang, University of Manitoba

Second-order Least Squares Estimation of Mixed Effects Models

Yasunori Fujikoshi (s), Tetsuro Sakurai and Yuka Kobayashi, Chuo University, Bunkyo-ku, Tokyo, Japan

On Conditional AIC for Random Coefficient Models

M. R. I. Chowdhury (S) and Brajendra Sutradhar,Memorial University

Generalized Quasi-likelihood versus Hierarchical Likelihood Inferences in Generalized Linear Mixed Models for Count Data