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Regularisierte regressionsanalytische Verfahren für hochdim..:
Rosenbusch, M.-L.
;
Heuer, J.
;
Steiger, E.
.
Gesundheitsökonomie & Qualitätsmanagement. 25 (2020) 6 - p. 297-304 , 2020
Link:
https://doi.org/10.1055/a-1167-5927
RT Journal T1 <Title>Regularisierte regressionsanalytische Verfahren für hochdimensionale Daten: ein neuer Ansatz in der Krankheitskostenrechnung des Statistischen Bundesamts zu ärztlichen Leistungen und Arzneiverordnungen</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1055_a-1167-5927&Exemplar=1&LAN=DE A1 Rosenbusch, M.-L. A1 Heuer, J. A1 Steiger, E. A1 Erhart, M. PB Georg Thieme Verlag KG YR 2020 SN 1432-2625 SN 1439-4049 JF Gesundheitsökonomie & Qualitätsmanagement VO 25 IS 6 SP 297 OP 304 LK http://dx.doi.org/https://doi.org/10.1055/a-1167-5927 DO https://doi.org/10.1055/a-1167-5927 SF ELIB - SuUB Bremen
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