I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
An ensemble method based on marginal-effect models (EMM) fo..:
Chi, Sang Ah
;
Lee, Heejin
;
Lee, Jung Eun
...
European Journal of Clinical Nutrition. 77 (2022) 3 - p. 325-334 , 2022
Link:
https://doi.org/10.1038/s41430-022-01231-1
RT Journal T1 <Title>An ensemble method based on marginal-effect models (EMM) for estimating usual food intake from single-day dietary data and internal/external two-day dietary data</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1038_s41430-022-01231-1&Exemplar=1&LAN=DE A1 Chi, Sang Ah A1 Lee, Heejin A1 Lee, Jung Eun A1 Lee, Haeng-Shin A1 Kim, Kyunga A1 Yeo, In-Kwon PB Springer Science and Business Media LLC YR 2022 SN 0954-3007 SN 1476-5640 JF European Journal of Clinical Nutrition VO 77 IS 3 SP 325 OP 334 LK http://dx.doi.org/https://doi.org/10.1038/s41430-022-01231-1 DO https://doi.org/10.1038/s41430-022-01231-1 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
