BROWSE

Related Researcher

Author's Photo

Kim, Gi-Soo
Research Interests

ITEM VIEW & DOWNLOAD

Causal inference with observational data under cluster-specific non-ignorable assignment mechanism

Cited 0 times inthomson ciCited 0 times inthomson ci
Title
Causal inference with observational data under cluster-specific non-ignorable assignment mechanism
Author
Kim, Gi-SooPaik, Myunghee ChoKim, Hongsoo
Issue Date
2017-09
Publisher
ELSEVIER SCIENCE BV
Citation
COMPUTATIONAL STATISTICS & DATA ANALYSIS, v.113, pp.88 - 99
Abstract
An estimator of the population average causal treatment effect is proposed for multi-level clustered data from observational studies when the treatment assignment mechanism is cluster-specific non-ignorable. This is motivated from a health policy study to evaluate the cost associated with rehospitalization due to premature discharge. The proposed estimator utilizes cluster-level calibration condition and is shown to be consistent and asymptotically normal. The proposed method is evaluated along with existing methods through simulations and is applied to the health care cost study using California inpatient dataset. (C) 2016 Elsevier B.V. All rights reserved.
URI
https://scholarworks.unist.ac.kr/handle/201301/47604
URL
https://www.sciencedirect.com/science/article/pii/S0167947316302298?via%3Dihub
DOI
10.1016/j.csda.2016.10.002
ISSN
0167-9473
Appears in Collections:
SME_Journal Papers
Files in This Item:
There are no files associated with this item.

find_unist can give you direct access to the published full text of this article. (UNISTARs only)

Show full item record

qrcode

  • mendeley

    citeulike

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

MENU