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Longitudinal predictive ability of mapping...
Conference

Longitudinal predictive ability of mapping algorithms: Secondary analysis of NRG Oncology/RTOG 0415.

Abstract

60 Background: Mapping algorithms informing economic evaluations are often derived using baseline data from clinical trials. It is unclear if these algorithms can predict health utilities accurately in post-intervention data. Thus, this study examines the longitudinal predictive ability of mapping algorithms derived from baseline trial data and explores the factors associated with prediction errors. Methods: This …

Authors

Khairnar RR; Sandler HM; Lee WR; Villalonga Olives E; Mullins CD; Bruner D; Shah A; Malone S; Michalski J; Dayes IS

Volume

39

Pagination

pp. 60-60

Publisher

American Society of Clinical Oncology (ASCO)

Publication Date

February 20, 2021

DOI

10.1200/jco.2021.39.6_suppl.60

Conference proceedings

Journal of Clinical Oncology

Issue

6_suppl

ISSN

0732-183X