The regression-calibration method for fitting generalized linear models with additive measurement error Academic Article

abstract

• This paper discusses and illustrates the method of regression calibration. This is a straightforward technique for fitting models with additive measurement error. We present this discussion in terms of generalized linear models (GLMs) following the notation defined in Hardin and Carroll (2003). Discussion will include specified measurement error, measurement error estimated by replicate error-prone proxies, and measurement error estimated by instrumental variables. The discussion focuses on software developed as part of a small business innovation research (SBIR) grant from the National Institutes of Health (NIH). Copyright 2003 by StataCorp LP.

authors

• Carroll, Raymond

published proceedings

• STATA JOURNAL

author list (cited authors)

• Hardin, J. W., Schmiediche, H., & Carroll, R. J.

citation count

• 35

complete list of authors

• Hardin, James W||Schmiediche, Henrik||Carroll, Raymond J

publication date

• January 2003

publisher

• SAGE Publications  Publisher

published in

• n1536-867XISSN  Journal

keywords

• Generalized Linear Models
• Instrumental Variables
• Measurement Error
• Regression Calibration
• Replicate Measures
• St0050

Digital Object Identifier (DOI)

• 10.1177/1536867X0300300406

start page

• 361

end page

• 372

volume

• 3

issue

• 4

URL

• http://dx.doi.org/10.1177/1536867x0300300406