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Table 9 Logistic regression employing lagged [lag = 3 months] md to predict monthly MVEV test site status in the Pilbara

From: Application of satellite precipitation data to analyse and model arbovirus activity in the tropics

Variable Coefficient (SE) p Odds ratio (95%)
Intercept -2.759 (0.139) < 0.01 a  
Lagged md (× 100 mm) 1.597 (0.211) < 0.01 a 4.94 (3.29-7.53) b
  1. AIC: 479.11
  2. ROC AUC: 0.72
  3. a Significance
  4. bInterpretation: 100 mm increases in lagged mdincreased the odds of a site monthly testing positive to MVEV by a factor of 4.94 (95% CI 3.29 - 7.53)