Abstract
The two stage least squares method assumes that the independent variable (x-variable) is problematic, meaning that it is somewhat uncertain. An additional variable can be argued to provide relevant information about the problematic variable, and is, therefore, called instrumental variable, and included in the analysis.
This chapter was previously published in “Machine learning in medicine-cookbook 2” as Chap. 10, 2014.
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Cleophas, T.J., Zwinderman, A.H. (2015). Two-Stage Least Squares (35 Patients). In: Machine Learning in Medicine - a Complete Overview. Springer, Cham. https://doi.org/10.1007/978-3-319-15195-3_34
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DOI: https://doi.org/10.1007/978-3-319-15195-3_34
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-15194-6
Online ISBN: 978-3-319-15195-3
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