Reweighting estimators for the transformation models with length-biased sampling data and missing covariates-Reference-Cited by-同舟云学术

Reweighting estimators for the transformation models with length-biased sampling data and missing covariates

Published:2020-09-16 Issue: Volume: Page:1-24
ISSN:0361-0926
Container-title:Communications in Statistics - Theory and Methods
language:en
Short-container-title:Communications in Statistics - Theory and Methods

Author:

Qiu Zhiping¹²,Ma Huijuan³⁴,Shi Jianhua⁵

Affiliation:

1. School of Statistics, Huaqiao University, Xiamen, China

2. Research Center for Applied Statistics and Big Data, Huaqiao University, Xiamen, China

3. Key Laboratory of Advanced Theory and Application in Statistics and Data Science, Ministry of Education, East China Normal University, Shanghai, China

4. Academy of Statistics and Interdisciplinary Sciences, East China Normal University, Shanghai, China

5. School of Mathematics and Statistics, Minnan Normal University, Zhangzhou, China

Funder

MOE (Ministry of Education in China) Project of Humanities and Social Sciences

National Natural Science Foundation of China

Shanghai Pujiang Program

Fundamental Research Funds for the Central Universities

Fujian Key Laboratory of Data Science and Statistics

Natural Science Foundation of Fujian Province

Publisher

Informa UK Limited

Subject

Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610926.2020.1812653

Reference41 articles.

1. Analysis of survival data by the proportional odds model

2. Pseudo likelihood and dimension reduction for data with nonignorable nonresponse

3. Semiparametric analysis of transformation models with censored data

4. Monotone rank estimation of transformation models with length-biased and right-censored data

5. Efficient Quantile Regression Analysis With Missing Observations