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. An example is given.
This chapter was previously published in “Machine learning in medicine-cookbook 2” as Chap. 10, 2014.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Author information
Authors and Affiliations
Electronic Supplementary Material(s)
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Cleophas, T.J., Zwinderman, A.H. (2020). Two-stage Least Squares (35 Patients). In: Machine Learning in Medicine – A Complete Overview. Springer, Cham. https://doi.org/10.1007/978-3-030-33970-8_34
Download citation
DOI: https://doi.org/10.1007/978-3-030-33970-8_34
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-33969-2
Online ISBN: 978-3-030-33970-8
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)