nonignorable missing data Recently Published Documents

Multiple Imputation Analysis for Nonignorable Missing Data

10.1201/9780429156397-13 ◽

2021 ◽

pp. 375-406

Author(s):

Yulei He ◽

Guangyu Zhang ◽

Chiu-Hsieh Hsu

Keyword(s):

Missing Data ◽

Multiple Imputation ◽

Fitting time series models for longitudinal surveys with nonignorable missing data

Journal of Statistical Planning and Inference ◽

10.1016/j.jspi.2021.01.001 ◽

2021 ◽

Vol 214 ◽

pp. 1-12

Author(s):

Zhan Liu ◽

Chun Yip Yau

Keyword(s):

Time Series ◽

Missing Data ◽

Time Series Models ◽

Longitudinal Surveys ◽

A model specification test for semiparametric nonignorable missing data modeling

Econometrics and Statistics ◽

10.1016/j.ecosta.2021.08.005 ◽

2021 ◽

Author(s):

Cheng Yong Tang

Keyword(s):

Missing Data ◽

Data Modeling ◽

Model Specification ◽

Specification Test ◽

Model Specification Test ◽

Mixed-effect Models for Truncated Longitudinal Outcomes with Nonignorable Missing Data

Journal of Data Science ◽

10.6339/jds.2009.07(1).418 ◽

2021 ◽

Vol 7 (1) ◽

pp. 13-25

Author(s):

Sujuan Gao ◽

Rodolphe Thi´ebaut

Keyword(s):

Missing Data ◽

Mixed Effect ◽

Longitudinal Outcomes ◽

Mixed Effect Models ◽

On classification with nonignorable missing data

Journal of Multivariate Analysis ◽

10.1016/j.jmva.2021.104755 ◽

2021 ◽

Vol 184 ◽

pp. 104755

Author(s):

Majid Mojirsheibani

Keyword(s):

Missing Data ◽

Bayesian semiparametric modeling of response mechanism for nonignorable missing data

Test ◽

10.1007/s11749-021-00774-y ◽

2021 ◽

Author(s):

Shonosuke Sugasawa ◽

Kosuke Morikawa ◽

Keisuke Takahata

Keyword(s):

Missing Data ◽

Response Mechanism ◽

Semiparametric Modeling ◽

Bayesian Semiparametric ◽

Weighted rank estimation for nonparametric transformation models with nonignorable missing data

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2020.107061 ◽

2021 ◽

Vol 153 ◽

pp. 107061

Author(s):

Tianqing Liu ◽

Xiaohui Yuan ◽

Jianguo Sun

Keyword(s):

Missing Data ◽

Transformation Models ◽

Rank Estimation ◽

Nonparametric Transformation ◽

Nonignorable Missing ◽

Weighted Rank

Assessing Causal Effects in a longitudinal observational study with “truncated” outcomes due to unemployment and nonignorable missing data

Journal of Business and Economic Statistics ◽

10.1080/07350015.2020.1862672 ◽

2020 ◽

pp. 1-34

Author(s):

Michela Bia ◽

Alessandra Mattei ◽

Andrea Mercatanti

Keyword(s):

Missing Data ◽

Observational Study ◽

Causal Effects ◽

Longitudinal Observational Study ◽

Bayesian latent factor on image regression with nonignorable missing data

Statistics in Medicine ◽

10.1002/sim.8810 ◽

2020 ◽

Author(s):

Xiaoqing Wang ◽

Xinyuan Song ◽

Hongtu Zhu

Keyword(s):

Missing Data ◽

Latent Factor ◽