Pseudo likelihood‐based estimation and testing of missingness mechanism function in nonignorable missing data problems-Reference-Cited by-同舟云学术

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Pseudo likelihood‐based estimation and testing of missingness mechanism function in nonignorable missing data problems

Published:2020-09-30 Issue:4 Volume:47 Page:1377-1400
ISSN:0303-6898
Container-title:Scandinavian Journal of Statistics
language:en
Short-container-title:Scand J Statist

Author:

Chen Xuerong¹^ORCID,Diao Guoqing²^ORCID,Qin Jing³

Affiliation:

1. Center of Statistical Research Southwestern University of Finance and Economics China

2. Department of Biostatistics and Bioinformatics The George Washington University USA

3. Biostatistics Research Branch National Institute of Allergy and Infectious Diseases USA

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/sjos.12493

Reference34 articles.

1. Pattern-mixture and selection models for analysing longitudinal data with monotone missing patterns

2. Comment on D. R. Cox (1972) paper;Breslow N.;Journal of the Royal Statistical Society: Series B (Methodological),1972

3. Estimation of distribution function and quantiles using the model‐calibrated pseudo empirical likelihood method;Chen J.;Statistica Sinica,2002

4. Parametric models for response-biased sampling

5. Efficient Quantile Regression Analysis With Missing Observations

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