Using joint models to disentangle intervention effect types and baseline confounding: an application within an intervention study in prodromal Alzheimer’s disease with Fortasyn Connect

Using joint models to disentangle intervention effect types and baseline confounding: an application within an intervention study in prodromal Alzheimer’s disease with Fortasyn Connect

Abstract Background Many prodromal Alzheimer’s disease trials collect two types of data: the time until clinical diagnosis of dementia and longitudinal patient information. These data are often analysed separately, although they are strongly associated. By combining the longitudinal and survival dat...

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Bibliographic Details
Main Authors: Floor M. van Oudenhoven, Sophie H.N. Swinkels, Tobias Hartmann, Hilkka Soininen, Anneke M.J. van Hees, Dimitris Rizopoulos
Format: Article
Language:English
Published: BMC 2019-07-01
Series:BMC Medical Research Methodology
Subjects:
Joint model
Intervention effect
Baseline imbalance
Fortasyn
Alzheimer’s disease
Online Access:http://link.springer.com/article/10.1186/s12874-019-0791-z

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http://link.springer.com/article/10.1186/s12874-019-0791-z

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