Informative observation in health data: Association of past level and trend with time to next measurement

In routine health data, risk factors and biomarkers are typically measured irregularly in time, with the frequency of their measurement depending on a range of factors – for example, sicker patients are measured more often. This is termed informative observation. Failure to account for this in subse...

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Bibliographic Details

Main Authors:	Matthew Sperrin, Emily Petherick, Ellena Badrick
Format:	Default Book chapter
Published:	2017
Subjects:	Other health sciences not elsewhere classified Library and information studies not elsewhere classified Informative observation Longitudinal modelling Observation processes Library and Information Studies Medical and Health Sciences not elsewhere classified
Online Access:	https://hdl.handle.net/2134/24913
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