Identifying causal effects with proxy variables of an unmeasured confounder-Reference-Cited by-同舟云学术

Identifying causal effects with proxy variables of an unmeasured confounder

Published:2018-08-13 Issue:4 Volume:105 Page:987-993
ISSN:0006-3444
Container-title:Biometrika
language:en
Short-container-title:

Author:

Miao Wang¹,Geng Zhi²,Tchetgen Tchetgen Eric J³

Affiliation:

1. Guanghua School of Management, Peking University, 5 Summer Palace Road, Haidian District, Beijing, China

2. School of Mathematical Sciences, Peking University, 5 Summer Palace Road, Haidian District, Beijing, China

3. Department of Biostatistics, Harvard University, 677 Huntington Avenue, Boston, Massachusetts, U.S.A

Publisher

Oxford University Press (OUP)

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,General Agricultural and Biological Sciences,Agricultural and Biological Sciences (miscellaneous),General Mathematics,Statistics and Probability

Link

http://academic.oup.com/biomet/article-pdf/105/4/987/27121264/asy038.pdf

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4. Linear inverse problems in structural econometrics estimation based on spectral decomposition and regularization;Carrasco,2007

5. Measurement Error in Nonlinear Models

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