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Table 1 Bayesian hierarchical models for the effects of annual precipitation on the relative risk of human West Nile virus in Mississippi, the United States.

From: Dry weather induces outbreaks of human West Nile virus infections

Model DIC ΔDIC Weight Mean and 95% CI of precip coefficient
c 326.77 76.73 0.00 NA
c + Precip 309.58 60.54 0.00 -0.014 (-0.020, -0.007)
c + Precip + UH 257.80 8.76 0.01 -0.008 (-0.020, 0.005)
c + Precip + UH + CH 249.58 0.54 0.43 -0.005 (-0.020, 0.008)
c + UH +CH 249.04 0.00 0.56 NA
  1. Note: letter c denotes constant; Precip is annual precipitation of the previous year; UH is uncorrelated heterogeneity; CH is the correlated heterogeneity modeled by conditional autocorrelative distribution; DIC is deviance information criterion; ΔDIC is the difference between the DIC of a candidate model and the lowest DIC; weight is equivalent to Akaike weight; and CI is credible interval.