Matches in SemOpenAlex for { <https://semopenalex.org/work/W4286799693> ?p ?o ?g. }
Showing items 1 to 76 of
76
with 100 items per page.
- W4286799693 abstract "The need for rigorous and timely health and demographic summaries has provided the impetus for an explosion in geographic studies, with a common approach being the production of pixel-level maps, particularly in low and middle income countries. In this context, household surveys are a major source of data, usually with a two-stage cluster design with stratification by region and urbanicity. Accurate estimates are of crucial interest for precision public health policy interventions, but many current studies take a cavalier approach to acknowledging the sampling design, while presenting results at a fine geographic scale. In this paper we investigate the extent to which accounting for sample design can affect predictions at the aggregate level, which is usually the target of inference. We describe a simulation study in which realistic sampling frames are created for Kenya, based on population and demographic information, with a survey design that mimics a Demographic Health Survey (DHS). We compare the predictive performance of various commonly-used models. We also describe a cluster level model with a discrete spatial smoothing prior that has not been previously used, but provides reliable inference. We find that including stratification and cluster level random effects can improve predictive performance. Spatially smoothed direct (weighted) estimates were robust to priors and survey design. Continuous spatial models performed well in the presence of fine scale variation; however, these models require the most hand holding. Subsequently, we examine how the models perform on real data; specifically we model the prevalence of secondary education for women aged 20-29 using data from the 2014 Kenya DHS." @default.
- W4286799693 created "2022-07-24" @default.
- W4286799693 creator A5034764787 @default.
- W4286799693 creator A5050387864 @default.
- W4286799693 creator A5051644057 @default.
- W4286799693 creator A5069899021 @default.
- W4286799693 date "2019-10-14" @default.
- W4286799693 modified "2023-09-29" @default.
- W4286799693 title "Design- and Model-Based Approaches to Small-Area Estimation in a Low and Middle Income Country Context: Comparisons and Recommendations" @default.
- W4286799693 doi "https://doi.org/10.48550/arxiv.1910.06512" @default.
- W4286799693 hasPublicationYear "2019" @default.
- W4286799693 type Work @default.
- W4286799693 citedByCount "0" @default.
- W4286799693 crossrefType "posted-content" @default.
- W4286799693 hasAuthorship W4286799693A5034764787 @default.
- W4286799693 hasAuthorship W4286799693A5050387864 @default.
- W4286799693 hasAuthorship W4286799693A5051644057 @default.
- W4286799693 hasAuthorship W4286799693A5069899021 @default.
- W4286799693 hasBestOaLocation W42867996931 @default.
- W4286799693 hasConcept C105795698 @default.
- W4286799693 hasConcept C129963666 @default.
- W4286799693 hasConcept C144024400 @default.
- W4286799693 hasConcept C149782125 @default.
- W4286799693 hasConcept C149923435 @default.
- W4286799693 hasConcept C154945302 @default.
- W4286799693 hasConcept C162324750 @default.
- W4286799693 hasConcept C166957645 @default.
- W4286799693 hasConcept C183380357 @default.
- W4286799693 hasConcept C187736073 @default.
- W4286799693 hasConcept C205649164 @default.
- W4286799693 hasConcept C2776214188 @default.
- W4286799693 hasConcept C2779343474 @default.
- W4286799693 hasConcept C2908647359 @default.
- W4286799693 hasConcept C31972630 @default.
- W4286799693 hasConcept C33923547 @default.
- W4286799693 hasConcept C3770464 @default.
- W4286799693 hasConcept C41008148 @default.
- W4286799693 hasConcept C75373757 @default.
- W4286799693 hasConcept C96250715 @default.
- W4286799693 hasConceptScore W4286799693C105795698 @default.
- W4286799693 hasConceptScore W4286799693C129963666 @default.
- W4286799693 hasConceptScore W4286799693C144024400 @default.
- W4286799693 hasConceptScore W4286799693C149782125 @default.
- W4286799693 hasConceptScore W4286799693C149923435 @default.
- W4286799693 hasConceptScore W4286799693C154945302 @default.
- W4286799693 hasConceptScore W4286799693C162324750 @default.
- W4286799693 hasConceptScore W4286799693C166957645 @default.
- W4286799693 hasConceptScore W4286799693C183380357 @default.
- W4286799693 hasConceptScore W4286799693C187736073 @default.
- W4286799693 hasConceptScore W4286799693C205649164 @default.
- W4286799693 hasConceptScore W4286799693C2776214188 @default.
- W4286799693 hasConceptScore W4286799693C2779343474 @default.
- W4286799693 hasConceptScore W4286799693C2908647359 @default.
- W4286799693 hasConceptScore W4286799693C31972630 @default.
- W4286799693 hasConceptScore W4286799693C33923547 @default.
- W4286799693 hasConceptScore W4286799693C3770464 @default.
- W4286799693 hasConceptScore W4286799693C41008148 @default.
- W4286799693 hasConceptScore W4286799693C75373757 @default.
- W4286799693 hasConceptScore W4286799693C96250715 @default.
- W4286799693 hasLocation W42867996931 @default.
- W4286799693 hasLocation W42867996932 @default.
- W4286799693 hasOpenAccess W4286799693 @default.
- W4286799693 hasPrimaryLocation W42867996931 @default.
- W4286799693 hasRelatedWork W181698225 @default.
- W4286799693 hasRelatedWork W1985711056 @default.
- W4286799693 hasRelatedWork W1994221687 @default.
- W4286799693 hasRelatedWork W2066772307 @default.
- W4286799693 hasRelatedWork W2410123255 @default.
- W4286799693 hasRelatedWork W2896041930 @default.
- W4286799693 hasRelatedWork W309072737 @default.
- W4286799693 hasRelatedWork W3215800506 @default.
- W4286799693 hasRelatedWork W4312565838 @default.
- W4286799693 hasRelatedWork W2183433221 @default.
- W4286799693 isParatext "false" @default.
- W4286799693 isRetracted "false" @default.
- W4286799693 workType "article" @default.