Derivation and out-of-sample validation of a modeling system to predict length of surgery
Derivation and out-of-sample validation of a modeling system to predict length of surgery
About this item
Full title
Author / Creator
Publisher
New York, NY: Elsevier Inc
Journal title
Language
English
Formats
Publication information
Publisher
New York, NY: Elsevier Inc
Subjects
More information
Scope and Contents
Contents
Abstract Background We performed a retrospective study to compare the precision of a regression model (RM) system with the precision of the standard method of surgical length prediction using historical means (HM). Methods Data were collected on patients who underwent carotid endarterectomy and lower-extremity bypass. Multiple linear regression was...
Alternative Titles
Full title
Derivation and out-of-sample validation of a modeling system to predict length of surgery
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_miscellaneous_1151700742
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1151700742
Other Identifiers
ISSN
0002-9610
E-ISSN
1879-1883
DOI
10.1016/j.amjsurg.2012.07.013