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Detecting bias arising from delayed recording of time

De Stavola, BL; Cox, DR; (2017) Detecting bias arising from delayed recording of time. Journal of the Royal Statistical Society. Series C: Applied Statistics , 66 (5) pp. 1065-1073. 10.1111/rssc.12202. Green open access

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Abstract

Sometimes in studies of the dependence of survival time on explanatory variables the natural time origin for defining entry into study cannot be observed and a delayed time origin is used instead. For example, diagnosis of disease may in some patients be made only at death. The effect of such delays is investigated both theoretically and in the context of the England and Wales National Cancer Register.

Type: Article
Title: Detecting bias arising from delayed recording of time
Open access status: An open access version is available from UCL Discovery
DOI: 10.1111/rssc.12202
Publisher version: https://doi.org/10.1111/rssc.12202
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Cancer registers, Cancer survival, Exponential distribution, Left censoring, Reporting delay, Selection bias
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health > Population, Policy and Practice Dept
URI: https://discovery.ucl.ac.uk/id/eprint/10067825
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