What difference does multiple imputation make in longitudinal modeling of EQ-5D-5L data? Empirical analyses of simulated and observed missing data patterns

Rosel, Inka; Serna-Higuita, Lina Maria; Al Sayah, Fatima; Buchholz, Maresa; Buchholz, Ines; Kohlmann, Thomas; Martus, Peter; Feng, You-Shan

dc.contributor.author	Martus, Peter
dc.contributor.author	Feng, You-Shan
dc.contributor.author	Rösel, Inka
dc.contributor.author	Serna Higuita, Lina María
dc.date.accessioned	2023-04-25T09:42:55Z
dc.date.available	2023-04-25T09:42:55Z
dc.date.issued	2022
dc.identifier.issn	0962-9343
dc.identifier.uri	http://hdl.handle.net/10900/139635
dc.language.iso	en	de_DE
dc.publisher	Springer	de_DE
dc.relation.uri	http://dx.doi.org/10.1007/s11136-021-03037-3	de_DE
dc.subject.ddc	300	de_DE
dc.subject.ddc	610	de_DE
dc.title	What difference does multiple imputation make in longitudinal modeling of EQ-5D-5L data? Empirical analyses of simulated and observed missing data patterns	de_DE
dc.type	Article	de_DE
utue.quellen.id	20220728000000_02852
utue.publikation.seiten	1521-1532	de_DE
utue.personen.roh	Rosel, Inka
utue.personen.roh	Serna-Higuita, Lina Maria
utue.personen.roh	Al Sayah, Fatima
utue.personen.roh	Buchholz, Maresa
utue.personen.roh	Buchholz, Ines
utue.personen.roh	Kohlmann, Thomas
utue.personen.roh	Martus, Peter
utue.personen.roh	Feng, You-Shan
dcterms.isPartOf.ZSTitelID	Quality of Life Research	de_DE
dcterms.isPartOf.ZS-Issue	5	de_DE
dcterms.isPartOf.ZS-Volume	31	de_DE
utue.fakultaet	04 Medizinische Fakultät	de_DE