Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Dino Dittrich"'
Autor:
Katharina Knoll, Stefanie Rosner, Stefan Gross, Dino Dittrich, Carsten Lennerz, Teresa Trenkwalder, Stefanie Schmitz, Stefan Sauer, Christian Hentschke, Marcus Dörr, Christian Kloss, Heribert Schunkert, Wibke Reinhard
Publikováno v:
npj Digital Medicine, Vol 6, Iss 1, Pp 1-9 (2023)
Abstract Telemedicine has been shown to improve the outcome of heart failure (HF) patients in addition to medical and device therapy. We investigate the effectiveness of a comprehensive telehealth programme in patients with recent hospitalisation for
Externí odkaz:
https://doaj.org/article/d3c6667e6e674487b177de574543c6b6
Publikováno v:
Sociological Methodology, 50(1), 168-214. Wiley-Blackwell
The network autocorrelation model has been the workhorse for estimating and testing the strength of theories of social influence in a network. In many network studies, different types of social influence are present simultaneously and can be modeled
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e347035a99622ff10f95705e6d86c49b
http://www.scopus.com/inward/record.url?scp=85085599279&partnerID=8YFLogxK
http://www.scopus.com/inward/record.url?scp=85085599279&partnerID=8YFLogxK
Publikováno v:
Social Networks, 48, 213-236. Elsevier BV
The network autocorrelation model has been extensively used by researchers interested modeling social influence effects in social networks. The most common inferential method in the model is classical maximum likelihood estimation. This approach, how
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b091912caf6b9065037674fdc74c38ae
https://doi.org/10.1016/j.socnet.2016.09.002
https://doi.org/10.1016/j.socnet.2016.09.002
Publikováno v:
Sociological Methods and Research, 48(3), 642-676. SAGE Publications Inc.
Currently available (classical) testing procedures for the network autocorrelation can only be used for falsifying a precise null hypothesis of no network effect. Classical methods can be neither used for quantifying evidence for the null nor for tes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56e573de50dc494a5571aae316f9246d
https://research.tilburguniversity.edu/en/publications/461af305-2fe5-4d7f-baeb-8ba5f724e1c1
https://research.tilburguniversity.edu/en/publications/461af305-2fe5-4d7f-baeb-8ba5f724e1c1
