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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
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BMC Infectious Diseases

ISSN: 1471-2334

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