Table 4 Predictor of cholera using training sample

From: Geospatial analysis of cholera patterns in Nigeria: findings from a cross-sectional study

Model Variables Entered Variables Removed Method
1 Surface water . Stepwise (Criteria: Probability-of-F-to-enter <= .050, Probability-of-F-to-remove > = .100).
  1. a. Dependent Variable: Cholera cases
  2. b. Models are based only on cases for which Approximately 75% of the cases (SAMPLE) = 1