Evidence map›Paper›PMID 29868228›Full record

ArticleGlobal health, epidemiology and genomics2018

Hyak mortality monitoring system: innovative sampling and estimation methods - proof of concept by simulation.

S J Clark, J Wakefield, T McCormick, M Ross

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Global health, epidemiology and genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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.

S J ClarkDepartment of Sociology, The Ohio State University, Columbus, Ohio, USA.
J WakefieldDepartment of Statistics, University of Washington Seattle, Washington, USA.
T McCormickDepartment of Statistics, University of Washington Seattle, Washington, USA.
M RossDepartment of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Funding

SPATIO-TEMPORAL EPIDEMIOLOGY: METHODS AND APPLICATIONSR01CA095994 · NCI · UNIVERSITY OF WASHINGTON · PI WAKEFIELD, JONATHAN C · 2005 to 2017
$1.6M
Predicting Impacts of Infectious Disease on Structure and Dynamics of PopulationsK01HD057246 · NICHD · UNIVERSITY OF WASHINGTON · PI CLARK, SAMUEL J · 2008 to 2012
$620k
Estimating vital rates in the developing world: A Bayesian process modeling approachK01HD078452 · NICHD · UNIVERSITY OF WASHINGTON · PI MCCORMICK, TYLER · 2015 to 2019
$611k
NCI NIH HHS R01 CA095994NICHD NIH HHS K01 HD057246NICHD NIH HHS K01 HD078452
6 · The paper itself

Abstract

Traditionally health statistics are derived from civil and/or vital registration. Civil registration in low- to middle-income countries varies from partial coverage to essentially nothing at all. Consequently the state of the art for public health information in low- to middle-income countries is efforts to combine or triangulate data from different sources to produce a more complete picture across both time and space -

Indexed as

data amalgamationHDSSMortality measurementsample surveysampling

Identifiers

PMID29868228
PMCPMC5870438

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.