Yang Zhao


Office: CW307.7
E-mail: Yang.Zhao@uregina.ca
Phone: 306-585-4348
Website: https://uregina.ca/~zhaoyang/

Current classes
STAT 160 Introductory Statistics, STAT 384 Categorical Data Analysis

Research interests
Statistics and biostatistics: incomplete data, measurement error, estimating equation, maximum likelihood, EM-algorithm, goodness of fits, and two-phase sampling design

Recent Publications

1) Zhao, Yang Diagnostic checking of multiple imputation models. AStA Adv. Stat. Anal. 106 (2022), no. 2, 271–286.

2) Liu, Meng; Zhao, Yang; Weighted generalized estimating equations and unified estimation for longitudinal data with nonmonotone missing data patterns. Stat. Med. 41 (2022), no. 7, 1148–1156, https://doi.org/10.1002/sim.9246.

3) Zhao, Yang. Semiparametric model for regression analysis with nonmonotone missing data. Stat. Methods Appl. 30 (2021), no. 2, 461–475.

4) Zhao, Yang; Liu, Meng.  Unified approach for regression models with nonmonotone missing at random data. AStA Adv. Stat. Anal. 105 (2021), no. 1, 87–101. https://link.springer.com/article/10.1007%2Fs10182-020-00389-y