Additive hazards regression with case-cohort sampled current status data

Wei Chen; Fengling Ren; Guosheng Tang

Kybernetika (2015)

  • Volume: 51, Issue: 2, page 268-275
  • ISSN: 0023-5954

Abstract

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In a case-cohort design, covariate histories are measured only on cases and a subcohort that is randomly selected from the entire cohort. This design has been widely used in large epidemiologic studies, especially when the exposures of interest are expensive to assemble for all the subjects. In this paper, we propose statistical procedures for analyzing case-cohort sampled current status data under the additive hazards model. Asymptotical properties of the proposed estimator are described and we suggest a resampling method to estimate the variances. Simulation studies show that the proposed method works well for finite sample sizes, and one data set is analyzed for illustrative purposes.

How to cite

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Chen, Wei, Ren, Fengling, and Tang, Guosheng. "Additive hazards regression with case-cohort sampled current status data." Kybernetika 51.2 (2015): 268-275. <http://eudml.org/doc/270125>.

@article{Chen2015,
abstract = {In a case-cohort design, covariate histories are measured only on cases and a subcohort that is randomly selected from the entire cohort. This design has been widely used in large epidemiologic studies, especially when the exposures of interest are expensive to assemble for all the subjects. In this paper, we propose statistical procedures for analyzing case-cohort sampled current status data under the additive hazards model. Asymptotical properties of the proposed estimator are described and we suggest a resampling method to estimate the variances. Simulation studies show that the proposed method works well for finite sample sizes, and one data set is analyzed for illustrative purposes.},
author = {Chen, Wei, Ren, Fengling, Tang, Guosheng},
journal = {Kybernetika},
keywords = {additive hazards model; case-cohort; current status data; estimating equations; simple random sampling; additive hazards model; case-cohort; current status data; estimating equations; simple random sampling},
language = {eng},
number = {2},
pages = {268-275},
publisher = {Institute of Information Theory and Automation AS CR},
title = {Additive hazards regression with case-cohort sampled current status data},
url = {http://eudml.org/doc/270125},
volume = {51},
year = {2015},
}

TY - JOUR
AU - Chen, Wei
AU - Ren, Fengling
AU - Tang, Guosheng
TI - Additive hazards regression with case-cohort sampled current status data
JO - Kybernetika
PY - 2015
PB - Institute of Information Theory and Automation AS CR
VL - 51
IS - 2
SP - 268
EP - 275
AB - In a case-cohort design, covariate histories are measured only on cases and a subcohort that is randomly selected from the entire cohort. This design has been widely used in large epidemiologic studies, especially when the exposures of interest are expensive to assemble for all the subjects. In this paper, we propose statistical procedures for analyzing case-cohort sampled current status data under the additive hazards model. Asymptotical properties of the proposed estimator are described and we suggest a resampling method to estimate the variances. Simulation studies show that the proposed method works well for finite sample sizes, and one data set is analyzed for illustrative purposes.
LA - eng
KW - additive hazards model; case-cohort; current status data; estimating equations; simple random sampling; additive hazards model; case-cohort; current status data; estimating equations; simple random sampling
UR - http://eudml.org/doc/270125
ER -

References

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