Variance estimation for effective coverage measures: A simulation study
Sara Sauer, Thomas W. Pullum, Wenjuan Wang, Lindsay Mallick, Hannah H. Leslie
Abstract
Background Effective coverage research is increasing rapidly in global health and development, as researchers use a range of measures and combine data sources to adjust coverage for the quality of services received. However, most estimates of effective coverage that combine data sources are reported only as point estimates, which may be due to the challenge of calculating the variance for a composite measure. In this paper, we evaluate three methods to quantify the uncertainty in the estimation of effective coverage.
Topics & Concepts
Confidence intervalStatisticsSample size determinationPoint estimationCoverage probabilityVariance (accounting)Parametric statisticsRange (aeronautics)Exact statisticsComputer scienceSample (material)EconometricsMathematicsComposite materialBusinessMaterials scienceChemistryAccountingChromatographyGlobal Maternal and Child HealthHealthcare Policy and ManagementHealthcare Systems and Reforms