Skip to main content

Automatic Regression for Maximizing Linear Relationships (55 Patients)

  • Chapter
  • First Online:
Machine Learning in Medicine – A Complete Overview

Abstract

This chapter is to assess whether automatic regression for maximizing linear relationships is helpful to obtain an improved precision of analysis of clinical trials. Examples are given.

This chapter was previously published in “Machine learning in medicine-cookbook 2” as Chap. 7, 2014.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 159.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Author information

Authors and Affiliations

Authors

Electronic Supplementary Material(s)

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Cleophas, T.J., Zwinderman, A.H. (2020). Automatic Regression for Maximizing Linear Relationships (55 Patients). In: Machine Learning in Medicine – A Complete Overview. Springer, Cham. https://doi.org/10.1007/978-3-030-33970-8_31

Download citation

Publish with us

Policies and ethics