Analyzing right-censored and length-biased data with varying-coefficient transformation model-Reference-Cited by-同舟云学术

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Analyzing right-censored and length-biased data with varying-coefficient transformation model

Published:2014-09 Issue: Volume:130 Page:45-63
ISSN:0047-259X
Container-title:Journal of Multivariate Analysis
language:en
Short-container-title:Journal of Multivariate Analysis

Author:

Lin Cunjie,Zhou Yong

Funder

National Natural Science Foundation of China (NSFC)

State Key Program of National Natural Science Foundation of China

National Center for Mathematics and Interdisciplinary Sciences (NCMIS)

Shanghai Leading Academic Discipline Project A

IRTSHUFE

Publisher

Elsevier BV

Subject

Statistics, Probability and Uncertainty,Numerical Analysis,Statistics and Probability

Reference37 articles.

1. A formal test for the stationarity of the incidence rate using data from a prevalent cohort study with follow-up;Addona;Lifetime Data Anal.,2006

2. Length-biased sampling with right censoring;Asgharian;J. Amer. Statist. Assoc.,2002

3. Asymptotic behavior of the unconditional NPMLE of the length-biased survivor function from right censored prevalent cohort data;Asgharian;Ann. Statist.,2005

4. An analysis of transformations (with discussion);Box;J. R. Stat. Soc. Ser. B,1964

5. Trending time-varying coefficient time series models with serially correlated errors;Cai;J. Econometrics,2007

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1. Proportional Mean Residual Life Model with Varying Coefficients for Length-Biased and Right-Censored Data;Acta Mathematica Sinica, English Series;2020-04-15

2. Estimation of the additive hazards model with linear inequality restrictions based on current status data;Communications in Statistics - Theory and Methods;2020-03-28

3. Censored quantile regression model with time‐varying covariates under length‐biased sampling;Biometrics;2020-02-28

4. Nonparametric estimation of the ROC curve for length-biased and right-censored data;Communications in Statistics - Theory and Methods;2019-07-27

5. Local composite partial likelihood estimation for length-biased and right-censored data;Journal of Statistical Computation and Simulation;2019-06-14

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