Methods of clinical prediction

William A. Grobman, David M. Stamilio*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

47 Scopus citations

Abstract

The abililty to predict clinical outcomes is of great importance to physicians and patients alike. Accordingly, multiple different methods have been used in an effort to accurately predict these outcomes. These methods include the development of scoring systems based on univariable and multivariable analysis, as well as models involving the use of neural network, nomograms, and classification and regression trees. The principles of these types of methods, as well as their advantages and disadvantages will be presented.

Original languageEnglish (US)
Pages (from-to)888-894
Number of pages7
JournalAmerican journal of obstetrics and gynecology
Volume194
Issue number3
DOIs
StatePublished - Mar 2006

Keywords

  • Prediction models
  • Statistical methods

ASJC Scopus subject areas

  • Obstetrics and Gynecology

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