Vaumourin, E., Vourc'h, G., Telfer, S., Lambin, X., Salih, D., Seitzer, U., . . . Gasqui, P. (2014). To be or not to be associated: Power study of four statistical modeling approaches to identify parasite associations in cross-sectional studies. Frontiers Media S.A.
Παραπομπή Chicago StyleVaumourin, Elise, et al. To Be or Not to Be Associated: Power Study of Four Statistical Modeling Approaches to Identify Parasite Associations in Cross-sectional Studies. Frontiers Media S.A, 2014.
Παραπομπή MLAVaumourin, Elise, et al. To Be or Not to Be Associated: Power Study of Four Statistical Modeling Approaches to Identify Parasite Associations in Cross-sectional Studies. Frontiers Media S.A, 2014.
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