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Yang Zhao

Research Interests

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

Current Courses

STAT 354/754 Linear Statistical Methods

Recent Publications

1) Zhao, Yang.  Maximum likelihood estimation of missing data probability for nonmonotone missing at random data.  Stat. Methods Appl. 32 (2023), no. 1, 197–209.

2) Thiessen, David Luke; Zhao, Yang; Tu, Dongsheng.  Unified estimation for Cox regression model with nonmonotone missing at random covariates.  Stat. Med. 41 (2022), no. 24, 4781–4790.

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

4) 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.