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Complete case effect size estimates for primary and seconda..:

Mitchell N. Sarkies (4556671) ; Lauren M. Robins (11597220) ; Megan Jepson (11597223)...
https://figshare.com/articles/dataset/Complete_case_effect_size_estimates_for_primary_and_secondary_outcomes_sensitivity_analysis_/16861695. , 2021

Link: https://doi.org/10.1371/journal.pmed.1003833.t007

RT Journal
T1 <Title>Complete case effect size estimates for primary and secondary outcomes sensitivity analysis</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_16861695&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
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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
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K1 102 )
K1 usual practice
K1 clinical practice
K1 ward levels
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K1 translating evidence
K1 significant effect
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JF https://figshare.com/articles/dataset/Complete_case_effect_size_estimates_for_primary_and_secondary_outcomes_sensitivity_analysis_/16861695
LK http://dx.doi.org/https://doi.org/10.1371/journal.pmed.1003833.t007
DO https://doi.org/10.1371/journal.pmed.1003833.t007
SF ELIB - SuUB Bremen

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