Prognostic models of survival in patients with advanced incurable cancer: the PiPS2 observational study

Patrick Stone; Anastasia Kalpakidou; Chris Todd; Jane Griffiths; Vaughan Keeley; Karen Spencer; Peter Buckle; Dori-Anne Finlay; Victoria Vickerstaff; Rumana Z Omar

doi:10.3310/hta25280

Prognostic models of survival in patients with advanced incurable cancer: the PiPS2 observational study

Patrick Stone, Anastasia Kalpakidou, Chris Todd, Jane Griffiths, Vaughan Keeley, Karen Spencer, Peter Buckle, Dori-Anne Finlay, Victoria Vickerstaff, Rumana Z Omar

Nursing & Midwifery

Research output: Contribution to journal › Article › peer-review

Original language	Undefined
Journal	Health Technology Assessment
DOIs	https://doi.org/10.3310/hta25280
Publication status	Published - May 2021

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10.3310/hta25280

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title = "Prognostic models of survival in patients with advanced incurable cancer: the PiPS2 observational study",

author = "Patrick Stone and Anastasia Kalpakidou and Chris Todd and Jane Griffiths and Vaughan Keeley and Karen Spencer and Peter Buckle and Dori-Anne Finlay and Victoria Vickerstaff and Omar, {Rumana Z}",

year = "2021",

month = may,

doi = "10.3310/hta25280",

language = "Undefined",

journal = "Health Technology Assessment",

issn = "1366-5278",

publisher = "NIHR Journals Library",

}

TY - JOUR

T1 - Prognostic models of survival in patients with advanced incurable cancer: the PiPS2 observational study

AU - Stone, Patrick

AU - Kalpakidou, Anastasia

AU - Todd, Chris

AU - Griffiths, Jane

AU - Keeley, Vaughan

AU - Spencer, Karen

AU - Buckle, Peter

AU - Finlay, Dori-Anne

AU - Vickerstaff, Victoria

AU - Omar, Rumana Z

PY - 2021/5

Y1 - 2021/5

UR - https://doi.org/10.3310/hta25280

U2 - 10.3310/hta25280

DO - 10.3310/hta25280

M3 - Article

SN - 1366-5278

JO - Health Technology Assessment

JF - Health Technology Assessment

ER -

Prognostic models of survival in patients with advanced incurable cancer: the PiPS2 observational study

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