Selected article for: "binary logistic regression and logistic regression"

Author: Tian, Yi-Ming; Dai, Fei-Yan; Huang, Si-Yang; Deng, Zu-Hong; Duan, Gang; Zhou, Dong-Hui; Yang, Jian-Fa; Weng, Ya-Biao; Zhu, Xing-Quan; Zou, Feng-Cai
Title: First report of Toxoplasma gondii seroprevalence in peafowls in Yunnan Province, Southwestern China
  • Document date: 2012_9_19
  • ID: 0sd5mhll_14
    Snippet: Differences in seroprevalence of infected peafowls between the age groups and among associated factors were analyzed using the binary logistic regression in SPSS (Release18.0 standard version, SPSS Inc., Chicago, Illinois) for Windows. A probability (P) value < 0.05 was considered as statistically significant between levels within factors and interactions. Odds-ratios (OR) with 95% confidence intervals based on likelihood ratio statistics are rep.....
    Document: Differences in seroprevalence of infected peafowls between the age groups and among associated factors were analyzed using the binary logistic regression in SPSS (Release18.0 standard version, SPSS Inc., Chicago, Illinois) for Windows. A probability (P) value < 0.05 was considered as statistically significant between levels within factors and interactions. Odds-ratios (OR) with 95% confidence intervals based on likelihood ratio statistics are reported. Table 1 ). Species of peafowl was not included in the statistical analysis due to the small number of green peafowls sampled. There was no significant difference in T. gondii seroprevalence between the adolescent birds (6.74%) and the adult birds (6.67%) (P > 0.05). Statistical analysis showed that peafowls originating from Kunming had significantly higher T. gondii seropositivity (31.08% of 74 samples) compared to the birds from Banna (5.91% of 203) (P = 0.014) ( Table 1 ). There was no statistical interaction between ages and regions (P > 0.05).

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