Selected article for: "hoc comparison and significant difference"

Author: Oh, Taehwan; Park, Kee Hwan; Yang, Siyeon; Jeong, Jiwoon; Kang, Ikjae; Park, Changhoon; Chae, Chanhee
Title: Evaluation of the efficacy of a trivalent vaccine mixture against a triple challenge with Mycoplasma hyopneumoniae, PCV2, and PRRSV and the efficacy comparison of the respective monovalent vaccines against a single challenge
  • Document date: 2019_10_16
  • ID: 0q0jon8j_52
    Snippet: The experimental unit for analysis consisted of data collected from each individual piglet. One-way analysis of variance (ANOVA) and Kruskal-Wallis test were used in this study. ANOVA is a parametric statistical test to analyze the difference between group means, while the Kruskal Wallis test is a non-parametric analogue of ANOVA. ANOVA was used with variables that showed the following: normal distribution such as ADWG, PRRSV RNA, M. hyopneumonia.....
    Document: The experimental unit for analysis consisted of data collected from each individual piglet. One-way analysis of variance (ANOVA) and Kruskal-Wallis test were used in this study. ANOVA is a parametric statistical test to analyze the difference between group means, while the Kruskal Wallis test is a non-parametric analogue of ANOVA. ANOVA was used with variables that showed the following: normal distribution such as ADWG, PRRSV RNA, M. hyopneumoniae DNA, PCV2 DNA, PRRSV antibody titer, M. hyopneumoniae antibody titer, PCV2 antibody titer, and number of IFN-γ-SC. The Kruskal-Wallis test was performed for variables without a normal distribution such as clinical signs, macroscopic lung lesion scores, and microscopic lung lesion scores. When a significant difference existed between the groups, post hoc multiple comparison tests with Tukey's adjustment was conducted (t-test for ANOVA and Man-Whitney test for Krustal-Wallis analysis) to determine the significant differences between the pairwise groups. A value of P < 0.05 was considered significant.

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