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Cluster-level per day values (blinded):

Mitchell N. Sarkies (4556671) ; Lauren M. Robins (11597220) ; Megan Jepson (11597223)...
https://figshare.com/articles/dataset/Cluster-level_per_day_values_blinded_/16861644. , 2021

Link: https://doi.org/10.1371/journal.pmed.1003833.s001

RT Journal
T1 <Title>Cluster-level per day values (blinded)</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_16861644&Exemplar=1&LAN=DE
				
A1 Mitchell N. Sarkies (4556671)
A1 Lauren M. Robins (11597220)
A1 Megan Jepson (11597223)
A1 Cylie M. Williams (7977923)
A1 Nicholas F. Taylor (6251603)
A1 Lisa O'Brien (4556668)
A1 Jenny Martin (5140988)
A1 Anne Bardoel (5140979)
A1 Meg E. Morris (3921353)
A1 Leeanne M. Carey (7033226)
A1 Anne E. Holland (7916210)
A1 Katrina M. Long (4773945)
A1 Terry P. Haines (9270302)
YR 2021
K1 Medicine
K1 Biotechnology
K1 Ecology
K1 Cancer
K1 Science Policy
K1 xlink "> owing
K1 reduce unwarranted variation
K1 randomisation took place
K1 limitations include underpowering
K1 g
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K1 informed resource allocation
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K1 new zealand hospitals
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K1 achieve evidence implementation
K1 45 clusters (<
K1 12 months later
K1 ci − 8
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K1 analysis )
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K1 ci 0
K1 based recommendations
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K1 hospital wards
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K1 651 )
K1 102 )
K1 usual practice
K1 clinical practice
K1 ward levels
K1 ward level
K1 translating evidence
K1 significant effect
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JF https://figshare.com/articles/dataset/Cluster-level_per_day_values_blinded_/16861644
LK http://dx.doi.org/https://doi.org/10.1371/journal.pmed.1003833.s001
DO https://doi.org/10.1371/journal.pmed.1003833.s001
SF ELIB - SuUB Bremen

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