Regression Analysis for Outcome-Dependent Sampling Design under the Covariate-Adjusted Additive Hazards Model
Joint Authors
Pan, Yingli
Liu, Songlin
Zhou, Yanli
Song, Guangyu
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-10-30
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
This paper provides a new insight into an economical and effective sampling design method relying on the outcome-dependent sampling (ODS) design in large-scale cohort research.
Firstly, the importance and originality of this paper is that it explores how to fit the covariate-adjusted additive Hazard model under the ODS design; secondly, this paper focused on estimating the distortion function through nonparametric regression and required observation of the covariate on the confounding factors of distortion; moreover, this paper further calibrated the contaminated covariates and proposed the estimators of the parameters by analyzing the calibrated covariates; finally, this paper established the large sample property and asymptotic normality of the proposed estimators and conducted many more simulations to evaluate the finite sample performance of the proposed method.
Empirical research demonstrates that the results from both artificial and real data verified good performance and practicality of the proposed ODS method in this paper.
American Psychological Association (APA)
Pan, Yingli& Liu, Songlin& Zhou, Yanli& Song, Guangyu. 2020. Regression Analysis for Outcome-Dependent Sampling Design under the Covariate-Adjusted Additive Hazards Model. Complexity،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1140011
Modern Language Association (MLA)
Pan, Yingli…[et al.]. Regression Analysis for Outcome-Dependent Sampling Design under the Covariate-Adjusted Additive Hazards Model. Complexity No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1140011
American Medical Association (AMA)
Pan, Yingli& Liu, Songlin& Zhou, Yanli& Song, Guangyu. Regression Analysis for Outcome-Dependent Sampling Design under the Covariate-Adjusted Additive Hazards Model. Complexity. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1140011
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1140011