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To be or not to be associated: power study of four statisti..:

Vaumourin, Elise ; Vourc'h, Gwenaël ; Telfer, Sandra...
info:eu-repo/semantics/altIdentifier/doi/10.3389/fcimb.2014.00062. , 2014

Link: https://hal.science/hal-01138870

RT Journal
T1 <Title>To be or not to be associated: power study of four statistical modeling approaches to identify parasite associations in cross-sectional studies</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftecolephe:oai:HAL:hal-01138870v1&Exemplar=1&LAN=DE
				
A1 Vaumourin, Elise
A1 Vourc'h, Gwenaël
A1 Telfer, Sandra
A1 Lambin, Xavier
A1 Salih, Diaeldin
A1 Seitzer, Ulrike
A1 Morand, Serge
A1 Charbonnel, Nathalie
A1 Taussat, Muriel
A1 Gasqui, Patrick
PB HAL CCSD; Frontiers
YR 2014
K1 chi-square test
K1 network model
K1 GLM approach
K1 screening
K1 parasite community
K1 modeling
K1 interactions
K1 associations
K1 [SDV.SA]Life Sciences [q-bio]/Agricultural sciences
K1 [SDV.BA]Life Sciences [q-bio]/Animal biology
K1 [SDV.MP]Life Sciences [q-bio]/Microbiology and Parasitology
K1 [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
JF info:eu-repo/semantics/altIdentifier/doi/10.3389/fcimb.2014.00062
LK http://dx.doi.org/https://hal.science/hal-01138870
DO https://hal.science/hal-01138870
SF ELIB - SuUB Bremen

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