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Table 2 Monte Carlo maximum likelihood estimates and 95% confidence intervals for the binomial logistic model fitted to 2016 GMIS under 5 malaria prevalence data

From: Geostatistical analysis and mapping of malaria risk in children under 5 using point-referenced prevalence data in Ghana

Term Estimate 95% confidence interval
Intercept − 1.733 (− 2.625, − 0.841)
Residence (R) 0.473 (0.095, 0.852)
Age 0.212 (0.128, 0.297)
IRS − 0.239 (− 0.703, 0.226)
Wealth index − 0.357 (− 0.500, -0.214)
Mothers educ. − 0.145 (− 0.276, -0.015)
\(\sigma ^2\) 0.983 (0.652, 1.480)
\(\phi\) 12.819 (8.043, 20.430)
  1. The scale parameter \(\phi\) has units in kilometres