Evidence map›Paper›PMID 29888316›Full record

ArticleSpatial demography2016

Influence of Demographic and Health Survey Point Displacements on Raster-Based Analyses.

Carolina Perez-Heydrich, Joshua L Warren, Clara R Burgert, Michael E Emch

Abstract read
In one paragraph

Article in Spatial demography, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

  1. Article
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  6. Investigating Seasonal Agriculture, Contraceptive Use, and Pregnancy in Burkina Faso.The Professional geographer : the journal of the Association of American Geographers · 2023
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  18. Land use and household energy dynamics in Malawi.Environmental research letters : ERL [Web site] · 2016
    Article
  19. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Carolina Perez-HeydrichDepartment of Biological Sciences, Meredith College, Raleigh, NC, USA.
Joshua L WarrenDepartment of Biostatistics, Yale School of Public Health, Yale University, New Haven, CT, USA.
Clara R BurgertICF International, Rockville, MD, USA.
Michael E EmchDepartment of Geography, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

Funding

UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa A. Troester · 2001 to 2026
$36.3M
Biostatstics for Research in Environmental HealthT32ES007018 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel, Rebecca Fry · 1985 to 2026
$31.3M
NIEHS NIH HHS P30 ES010126NIEHS NIH HHS T32 ES007018
6 · The paper itself

Abstract

With this paper we explore the sensitivity of study results to spatial displacements associated with Demographic and Health Survey (DHS) data in research that integrates ancillary raster data. Through simulation studies, we found that the impact of DHS point displacements on raster-based analyses can be moderated through the generation of covariates representing average values from neighborhood buffers. Additionally, raster surface characteristics (i.e., spatial smoothness) were found to affect the extent of bias introduced through point displacements. Although simple point extraction produced unbiased estimates in analyses involving smooth continuous surfaces, it is not recommended in analyses that involve categorical raster surfaces.

Identifiers

PMID29888316
PMCPMC5993452

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.