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Measurement process context effects in empirical tests of causal models

✍ Scribed by R.Kenneth Teas; Russell N Laczniak


Book ID
117319766
Publisher
Elsevier Science
Year
2004
Tongue
English
Weight
265 KB
Volume
57
Category
Article
ISSN
0148-2963

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Biomedical studies often measure variables with error. Examples in the literature include investigation of the association between the change in some outcome variable (blood pressure, cholesterol level etc.) and a set of explanatory variables (age, smoking status etc.). Typically, one fits linear re