Semiparametric regression of clustered current status data

Journal of Applied Statistics ◽

10.1080/02664763.2018.1564022 ◽

2019 ◽

Vol 46 (10) ◽

pp. 1724-1737

Author(s):

Yanqin Feng ◽

Shurong Lin ◽

Yang Li

Keyword(s):

Semiparametric Regression ◽

Current Status Data ◽

Current Status ◽

Download Full-text

Sieve Maximum Likelihood Estimator for Semiparametric Regression Models With Current Status Data

Journal of the American Statistical Association ◽

10.1198/016214504000000313 ◽

2004 ◽

Vol 99 (466) ◽

pp. 346-356 ◽

Author(s):

Hongqi Xue ◽

K. F Lam ◽

Guoying Li

Keyword(s):

Maximum Likelihood ◽

Maximum Likelihood Estimator ◽

Regression Models ◽

Semiparametric Regression ◽

Current Status Data ◽

Current Status ◽

Likelihood Estimator ◽

Download Full-text

A semiparametric regression cure model with current status data

10.1093/biomet/92.3.573 ◽

2005 ◽

Vol 92 (3) ◽

pp. 573-586 ◽

Author(s):

K. F. Lam ◽

Hongqi Xue

Keyword(s):

Semiparametric Regression ◽

Current Status Data ◽

Current Status ◽

Download Full-text

Semiparametric regression analysis of two-sample current status data, with applications to tumorigenicity experiments

Canadian Journal of Statistics ◽

10.1002/cjs.5550350408 ◽

2007 ◽

Vol 35 (4) ◽

pp. 575-584 ◽

Author(s):

Xingwei Tong ◽

Chao Zhu ◽

Jianguo Sun

Keyword(s):

Regression Analysis ◽

Semiparametric Regression ◽

Current Status Data ◽

Current Status ◽

Download Full-text

SEMIPARAMETRIC REGRESSION ANALYSIS OF REPEATED CURRENT STATUS DATA [

Statistica Sinica ◽

10.5705/ss.202014.0153 ◽

2017 ◽

Author(s):

Baosheng Liang ◽

Xingwei Tong ◽

Donglin Zeng ◽

Yuanjia Wang

Keyword(s):

Regression Analysis ◽

Semiparametric Regression ◽

Current Status Data ◽

Current Status ◽

Download Full-text

Kernel machines for current status data

Machine Learning ◽

10.1007/s10994-020-05930-3 ◽

2020 ◽

Author(s):

Yael Travis-Lumer ◽

Yair Goldberg

Keyword(s):

Current Status Data ◽

Current Status ◽

Kernel Machines ◽

Download Full-text

A simulation‐extrapolation approach for regression analysis of misclassified current status data with the additive hazards model

Statistics in Medicine ◽

10.1002/sim.9184 ◽

2021 ◽

Author(s):

Shuwei Li ◽

Tian Tian ◽

Tao Hu ◽

Jianguo Sun

Keyword(s):

Regression Analysis ◽

Current Status Data ◽

Current Status ◽

Additive Hazards Model ◽

Additive Hazards ◽

Hazards Model ◽

Simulation Extrapolation ◽

Download Full-text

Regression analysis of informative current status data with the additive hazards model

Lifetime Data Analysis ◽

10.1007/s10985-014-9303-y ◽

2014 ◽

Vol 21 (2) ◽

pp. 241-258 ◽

Author(s):

Shishun Zhao ◽

Tao Hu ◽

Ling Ma ◽

Peijie Wang ◽

Jianguo Sun

Keyword(s):

Regression Analysis ◽

Current Status Data ◽

Current Status ◽

Additive Hazards Model ◽

Additive Hazards ◽

Hazards Model ◽

Download Full-text

New statistical software for the proportional hazards model with current status data

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2008.02.007 ◽

2008 ◽

Vol 52 (9) ◽

pp. 4272-4286 ◽

Author(s):

Solange Mongoué-Tchokoté ◽

Jong-Sung Kim

Keyword(s):

Proportional Hazards ◽

Proportional Hazards Model ◽

Current Status Data ◽

Current Status ◽

Statistical Software ◽

Hazards Model ◽

Download Full-text

Singly and Doubly Censored Current Status Data with Extensions to Multi-State Counting Processes

Proceedings of the First Seattle Symposium in Biostatistics - Lecture Notes in Statistics ◽

10.1007/978-1-4684-6316-3_9 ◽

1997 ◽

pp. 171-184 ◽

Author(s):

Nicholas P. Jewell ◽

Mark van der Laan

Keyword(s):

Current Status Data ◽

Current Status ◽

Counting Processes ◽

Doubly Censored ◽

Download Full-text

Some methodological considerations in the analysis of current status data

Population Studies ◽

10.1080/00324728.1981.11878515 ◽

1981 ◽

Vol 35 (5) ◽

pp. 425-437 ◽

Author(s):

M. Bracher ◽

Gigi Santow

Keyword(s):

Current Status Data ◽

Current Status ◽

Methodological Considerations ◽

Download Full-text