To be or not to be associated : power study of four statistical modeling approaches to identify parasite associations in cross-sectional studies
Date
2014-05-15
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Vaumourin, E, Vourc'h, G, Telfer, S, Lambin, X, Salih, D, Seitzer, U, Morand, S, Charbonnel, N, Vayssier-Taussat, M & 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 in cellular and infection microbiology, vol. 4, 62. https://doi.org/10.3389/fcimb.2014.00062