To be or not to be associated: power study of four statistical modeling approaches to identify parasite associations in cross-sectional studies-Reference-Cited by-同舟云学术

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To be or not to be associated: power study of four statistical modeling approaches to identify parasite associations in cross-sectional studies

Published:2014-05-15 Issue: Volume:4 Page:
ISSN:2235-2988
Container-title:Frontiers in Cellular and Infection Microbiology
language:
Short-container-title:Front. Cell. Infect. Microbiol.

Author:

Vaumourin Elise,Vourc'h GwenaÃ«l,Telfer Sandra,Lambin Xavier,Salih Diaeldin,Seitzer Ulrike,Morand Serge,Charbonnel Nathalie,Vayssier-Taussat Muriel,Gasqui Patrick

Publisher

Frontiers Media SA

Subject

Infectious Diseases,Microbiology (medical),Immunology,Microbiology

Reference2 articles.

1. Categorical Data Analysis

2. Molecular detection of Theileria and Babesia infections in cattle;Altay;Vet. Parasitol,2008

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