Back to search

Article

Weighted Multilevel Models for Malaria Indicator Survey

2020-08-06

Abstract excerpt

<h4>Background: </h4> The data generated from malaria indicator surveys have a multilevel structure where children or households are nested within cluster and this may result in dependent data. In a survey, clusters or units within clusters may be selected with unequal probabilities and often surveys are subjected to non-response. Modeling of these data must take into consideration these aspects as these could lea...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
1ff93ef7-da4f-5c9b-8d61-dbbe16097992
DOI
10.21203/rs.3.rs-53309/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Weighted Multilevel Models for Malaria Indicator SurveyDOI 10.21203/rs.3.rs-53309/v1
Bayesian Multilevel Analysis of Children Vaccination Coverage in EthiopiaSemantic proximity
Spatially Weighted Multinomial Modelling of Comorbidity of Anaemia and Malaria Among Under Five Children in NigeriaSemantic proximity
Factors influencing malaria infection in Rwanda 2010: a cross-sectional survey study using generalized structural equation modelingSemantic proximity
Older Children are at Increased Risk of Plasmodium Vivax in South-Central Ethiopia: A Cohort StudySemantic proximity
Spatial Heterogeneity and Factors Influencing Anemia and Severe Anemia among Under-5 Children in Ethiopia: Spatial and Multilevel AnalysisSemantic proximity
Agricultural Work, Malaria Prevalence, and Mediating Factors: A Cross-Sectional Analysis of Data from 15 Sub-Saharan African Countries to Inform Risk Stratification and Intervention PlanningSemantic proximity
Handling missing data in a composite outcome with partially observed components: Application in clustered paediatric routine data.Semantic proximity
How environmental, geographic, socio-demographic, and epidemiological indicators influence malaria prevalenceSemantic proximity
Agricultural Work, Malaria Prevalence, and Mediating Factors: A Cross-Sectional Analysis of Data from 15 Sub-Saharan African Countries to Inform Risk Stratification and Intervention PlanningSemantic proximity
Modelling for Anaemia and Malnutrition in Children Less Than Five Years of Age in Lesotho: A Case Study of a Cross-Sectional Dataset Using Multivariate Joint Model.Semantic proximity
Estimating malaria incidence from routine health facility-based surveillance data in UgandaSemantic proximity
Pediatric Malaria Incidence and Risk Mapping With and Without Clinical Data in Sussundenga Municipality, MozambiqueSemantic proximity
Select a neighboring publication to make it the new centre.