A competing risk joint model for dealing with different types of missing data in an intervention trial in prodromal Alzheimer’s disease

A competing risk joint model for dealing with different types of missing data in an intervention trial in prodromal Alzheimer’s disease

Abstract Background Missing data can complicate the interpretability of a clinical trial, especially if the proportion is substantial and if there are different, potentially outcome-dependent causes. Methods We aimed to obtain unbiased estimates, in the presence of a high level of missing data, for...

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Bibliographic Details
Main Authors: Floor M. van Oudenhoven, Sophie H. N. Swinkels, Hilkka Soininen, Miia Kivipelto, Tobias Hartmann, Dimitris Rizopoulos, on behalf of the LipiDiDiet clinical study group
Format: Article
Language:English
Published: BMC 2021-03-01
Series:Alzheimer’s Research & Therapy
Subjects:
Alzheimer’s disease
Prodromal
Joint model
Fortasyn
Randomized controlled trial
Dropout
Online Access:https://doi.org/10.1186/s13195-021-00801-y

Internet

https://doi.org/10.1186/s13195-021-00801-y

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