LEVEL (Logical Explanations & Visualizations of Estimates in Linear mixed models): recommendations for reporting multilevel data and analyses

dc.contributor.author	Monsalves, Maria Jose
dc.contributor.author	Bangdiwala, Ananta Shrikant
dc.contributor.author	Thabane, Alex
dc.contributor.author	Bangdiwala, Shrikant Ishver
dc.date.accessioned	2022-03-28T15:15:23Z
dc.date.available	2022-03-28T15:15:23Z
dc.date.issued	2020
dc.identifier.citation	Monsalves, M. J., Bangdiwala, A. S., Thabane, A., & Bangdiwala, S. I. (2020). LEVEL (Logical Explanations & Visualizations of Estimates in Linear mixed models): recommendations for reporting multilevel data and analyses. BMC medical research methodology, 20(1), 1-9.	en
dc.identifier.uri	https://hdl.handle.net/10500/28647
dc.language.iso	en	en
dc.subject	Multilevel models, Reporting guidelines, Variance partition coefficients, Multilevel diagram	en
dc.title	LEVEL (Logical Explanations & Visualizations of Estimates in Linear mixed models): recommendations for reporting multilevel data and analyses	en
dc.type	Article	en
dc.description.department	Institute for Social and Health Studies (ISHS)	en