Regression calibration with instrumental variables for longitudinal models with interaction terms, and application to air pollution studies-Reference-Cited by-同舟云学术

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Regression calibration with instrumental variables for longitudinal models with interaction terms, and application to air pollution studies

Published:2015-08-10 Issue:6 Volume:26 Page:393-405
ISSN:1180-4009
Container-title:Environmetrics
language:en
Short-container-title:Environmetrics

Author:

Strand M.¹²,Sillau S.³,Grunwald G. K.²,Rabinovitch N.⁴

Affiliation:

1. Division of Biostatistics & BioinformaticsNational Jewish Health Denver CO U.S.A.

2. Department of Biostatistics & InformaticsColorado School of Public Health, University of Colorado Denver Denver CO U.S.A.

3. Department of Neurology, Colorado School of MedicineUniversity of Colorado Denver Denver CO U.S.A.

4. Department of PediatricsNational Jewish Health Denver CO U.S.A.

Publisher

Wiley

Subject

Ecological Modeling,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/env.2354

Reference26 articles.

1. Linear mixed models for replication data to efficiently allow for covariate measurement error

2. Estimation in longitudinal random effects models with measurement error;Buonaccorsi JP;Statistica Sinica,2000

3. Measurement Error

4. Instrumental Variable Estimation in Generalized Linear Measurement Error Models

5. Measurement Error in Nonlinear Models

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4. Quantifying the impact of the modifiable areal unit problem when estimating the health effects of air pollution;Environmetrics;2020-08-03

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