Estimated legacy effects from simulated post-trial data were less biased than from combined trial/post-trial data.

Zhu, Lin; Bell, Katy J.L.; Hayen, Andrew

Access status:

Open Access

Field	Value	Language
dc.contributor.author	Zhu, Lin
dc.contributor.author	Bell, Katy J.L.
dc.contributor.author	Hayen, Andrew
dc.date.accessioned	2021-04-14T06:53:11Z
dc.date.available	2021-04-14T06:53:11Z
dc.date.issued	2019	en_AU
dc.identifier.uri	https://hdl.handle.net/2123/24923
dc.description.abstract	“Legacy effects” describe the phenomena where treatment effects are apparent during the post-trial period that are not attributable to the direct effects observed within the trial. We investigate different approaches to analysis of trial and extended follow-up data for the evaluation of legacy effects. We conducted a simulation to compare three approaches, which differed in terms of the time period and selection of trial participants included in the analysis.	en_AU
dc.language.iso	en	en_AU
dc.publisher	Elsevier	en_AU
dc.relation.ispartof	Journal of Clinical Epidemiology	en_AU
dc.rights	Creative Commons Attribution-NonCommercial-NoDerivatives 4.0	en_AU
dc.subject	Legacy effects	en_AU
dc.subject	randomised control trial	en_AU
dc.subject	Post-trial follow-up	en_AU
dc.subject	cardiovascular disease	en_AU
dc.title	Estimated legacy effects from simulated post-trial data were less biased than from combined trial/post-trial data.	en_AU
dc.type	Article	en_AU
dc.subject.asrc	1102 Cardiorespiratory Medicine and Haematology	en_AU
dc.subject.asrc	1117 Public Health and Health Services	en_AU
dc.identifier.doi	10.1016/j.jclinepi.2019.05.010
dc.relation.nhmrc	1104136
usyd.faculty	SeS faculties schools::Faculty of Medicine and Health::Sydney School of Public Health	en_AU
usyd.citation.volume	114	en_AU
usyd.citation.spage	30	en_AU
usyd.citation.epage	37	en_AU
workflow.metadata.only	No	en_AU