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Table 4 Effect of improved precision of SAM prevalence estimates and coverage estimates of the precision of the estimate of the incidence correction factor (K) using 2015 data from the Nigerian CMAM program

From: Improving estimates of the burden of severe acute malnutrition and predictions of caseload for programs treating severe acute malnutrition: experiences from Nigeria

 

Incidence correction factor (K)

Scenario

Point estimate

95% LCL

95% UCL

Relative precisiona

No change

11.66

5.94

22.10

139.59%

Reduce half-width of 95% CI for prevalence by 60%b

11.66

7.72

17.37

82.76%

Reduce half-width of 95% CI for coverage by 60%c

11.66

6.00

21.88

136.19%

  1. aRelative precision is calculated as \( \frac{95\% UCL-95\% LCL}{Point Estimate}\times 100 \). Smaller values indicate better precision
  2. bThis level of improvement is achievable using a PROBIT estimator with existing survey designs and survey data
  3. cThis level of improvement could only be achieved by a considerable increase in survey sample sizes