Translational Risk Models

Donna Pauler Ankerst (), Vanadin Seifert-Klauss and Marion Kiechle
Additional contact information
Donna Pauler Ankerst: Technische Universität München, Biostatistics, Center for Mathematical Sciences
Vanadin Seifert-Klauss: Technische Universität München, Gynaecology, Department of Medicine, Klinikum Rechts der Isar
Marion Kiechle: Technische Universität München, Chair of Gynaecology, Department of Medicine, Klinikum Rechts der Isar

Chapter Chapter 16 in Risk - A Multidisciplinary Introduction, 2014, pp 441-458 from Springer

Abstract: Abstract With rapid progression of computing and other technological advances, the practice of modern medicine has moved from primarily anecdotal to largely quantitative. With due credit to the Internet and the new cyber-society, individuals have taken a more active role in the decision-making process concerning their health, from deciding whether or not to get screened for a disease to which treatment is best for their specific clinical profile. Treating physicians are more connected with latest medical breakthroughs through vast dissemination via the Internet. Statistical prediction models assembled on large well-designed cohorts, multiply validated and easily accessible through online calculators play a role in translating basic science results to implementation in the community for public health benefit. This chapter describes the risk model building process that forms the basis of modern medical decision-making, from statistical estimation to validation and implementation on the Internet. The early diagnosis of cancer is used as the context to illustrate principles, though the concepts immediately transcend to other disciplines as concluding examples in forestry and finance will show.

Keywords: Logistic regression; Calibration; Discrimination; Prediction; Validation (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-04486-6_16

Ordering information: This item can be ordered from
http://www.springer.com/9783319044866

DOI: 10.1007/978-3-319-04486-6_16

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().