Protocol for the development and validation of risk prediction equations to estimate absolute and conditional survival in patients with cancer
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 heal...
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| Format: | Monograph |
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University of Nottingham
2016
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| Online Access: | https://eprints.nottingham.ac.uk/33946/ |
| _version_ | 1848794740720402432 |
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| author | Hippisley-Cox, Julia Coupland, Carol |
| author_facet | Hippisley-Cox, Julia Coupland, Carol |
| author_sort | Hippisley-Cox, Julia |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T19:21:00Z |
| format | Monograph |
| id | nottingham-33946 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:21:00Z |
| publishDate | 2016 |
| publisher | University of Nottingham |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-339462020-05-04T17:56:56Z https://eprints.nottingham.ac.uk/33946/ 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 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. University of Nottingham 2016-06-11 Monograph NonPeerReviewed Hippisley-Cox, Julia and Coupland, Carol (2016) Protocol for the development and validation of risk prediction equations to estimate absolute and conditional survival in patients with cancer. Documentation. University of Nottingham. (Unpublished) cancer survival ; risk prediction ; primary care |
| spellingShingle | cancer survival ; risk prediction ; primary care Hippisley-Cox, Julia Coupland, Carol Protocol for the development and validation of risk prediction equations to estimate absolute and conditional survival in patients with cancer |
| title | Protocol for the development and validation of risk prediction equations to estimate absolute and conditional survival in patients with cancer |
| title_full | Protocol for the development and validation of risk prediction equations to estimate absolute and conditional survival in patients with cancer |
| title_fullStr | Protocol for the development and validation of risk prediction equations to estimate absolute and conditional survival in patients with cancer |
| title_full_unstemmed | Protocol for the development and validation of risk prediction equations to estimate absolute and conditional survival in patients with cancer |
| title_short | Protocol for the development and validation of risk prediction equations to estimate absolute and conditional survival in patients with cancer |
| title_sort | protocol for the development and validation of risk prediction equations to estimate absolute and conditional survival in patients with cancer |
| topic | cancer survival ; risk prediction ; primary care |
| url | https://eprints.nottingham.ac.uk/33946/ |