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1 Ergebnisse
1
Bayesian-imputation of urinary arsenic species below the de..:
A, Nigra
;
Y, Liu
;
A, Domingo
..
Environmental Epidemiology. 3 (2019) Supplement 1 - p. 289-289 , 2019
Link:
https://doi.org/10.1097/01.ee9.0000609116.29388.a4
RT Journal T1 <Title>Bayesian-imputation of urinary arsenic species below the detection limit in NHANES 2003-2016</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1097_01.ee9.0000609116.29388.a4&Exemplar=1&LAN=DE A1 A, Nigra A1 Y, Liu A1 A, Domingo A1 A, Navas-Acien A1 Q, Chen PB Ovid Technologies (Wolters Kluwer Health) YR 2019 SN 2474-7882 JF Environmental Epidemiology VO 3 IS Supplement 1 SP 289 OP 289 LK http://dx.doi.org/https://doi.org/10.1097/01.ee9.0000609116.29388.a4 DO https://doi.org/10.1097/01.ee9.0000609116.29388.a4 SF ELIB - SuUB Bremen
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