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Protocol for the development and validation of risk prediction equations to estimate absolute and conditional survival in patients with cancer

Hippisley-Cox, Julia; Coupland, Carol

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Authors

Julia Hippisley-Cox

CAROL COUPLAND carol.coupland@nottingham.ac.uk
Professor of Medical Statistics



Abstract

This is a protocol to describe the development and validation of a set of prediction equations to quantify absolute survival for patients with different types of cancers taking account of other clinical factors available through routine linkage of cancer registry data to primary care electronic health records. We will also include estimates of conditional survival since it may be a more accurate measure of survival among those surviving the first year, especially when the initial prognosis is poor, such as with advanced stage colorectal cancer. Such estimates can be used to provide better information for patients and doctors to help inform treatment and other life decisions.

Citation

Hippisley-Cox, J., & Coupland, C. Protocol for the development and validation of risk prediction equations to estimate absolute and conditional survival in patients with cancer. University of Nottingham

Book Type Monograph
Online Publication Date Jun 11, 2016
Deposit Date Jun 13, 2016
Publicly Available Date Jun 14, 2016
Keywords cancer survival ;
risk prediction ;
primary care
Public URL https://nottingham-repository.worktribe.com/output/795554
Related Public URLs http://www.qresearch.org

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