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doi:10.22028/D291-36993
Title: | 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 |
Author(s): | van Oudenhoven, Floor M Swinkels, Sophie H. N. Hartmann, Tobias Soininen, Hilkka van Hees, Anneke M. J. Rizopoulos, Dimitris |
Language: | English |
Title: | BMC medical research methodology |
Volume: | 19 |
Issue: | 1 |
Publisher/Platform: | BioMed Central |
Year of Publication: | 2019 |
Free key words: | Joint model Intervention effect Baseline imbalance Fortasyn Alzheimer’s disease |
DDC notations: | 610 Medicine and health |
Publikation type: | Journal Article |
Abstract: | 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 data into a single statistical model, joint models can account for the dependencies between the two types of data. |
DOI of the first publication: | 10.1186/s12874-019-0791-z |
URL of the first publication: | https://bmcmedresmethodol.biomedcentral.com/articles/10.1186/s12874-019-0791-z |
Link to this record: | urn:nbn:de:bsz:291--ds-369938 hdl:20.500.11880/33576 http://dx.doi.org/10.22028/D291-36993 |
ISSN: | 1471-2288 |
Date of registration: | 4-Aug-2022 |
Faculty: | M - Medizinische Fakultät |
Department: | M - Neurologie und Psychiatrie |
Professorship: | M - Prof. Dr. Tobias Hartmann |
Collections: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
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