Evidence map›Paper›PMID 26612972›Full record

ArticleJournal of the Royal Statistical Society. Series A, (Statistics in Society)2015

Bayesian Reconstruction of Two-Sex Populations by Age: Estimating Sex Ratios at Birth and Sex Ratios of Mortality.

Mark C Wheldon, Adrian E Raftery, Samuel J Clark, Patrick Gerland

Abstract read
In one paragraph

Article in Journal of the Royal Statistical Society. Series A, (Statistics in Society), 2015. 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.

Mark C WheldonAuckland University of Technology.
Adrian E RafteryUniversity of Washington.
Samuel J ClarkUniversity of Washington.
Patrick GerlandUnited Nations Population Division August 9, 2014.

Funding

Methods and Data CoreR24HD042828 · NICHD · UNIVERSITY OF WASHINGTON · PI TOLNAY, STEWART E · 2002 to 2016
$9.3M
Scientific/Technical CoreP2CHD042828 · NICHD · UNIVERSITY OF WASHINGTON · PI SARA R. CURRAN · 2017 to 2026
$6.3M
Statistical Methods for Population ProjectionsR01HD070936 · NICHD · UNIVERSITY OF WASHINGTON · PI RAFTERY, ADRIAN E · 2012 to 2021
$3.3M
Sexually Transmitted Infection Epidemics: Bayesian Prevalence & Size EstimateR01HD054511 · NICHD · UNIVERSITY OF WASHINGTON · PI RAFTERY, ADRIAN E · 2007 to 2016
$3.2M
Predicting Impacts of Infectious Disease on Structure and Dynamics of PopulationsK01HD057246 · NICHD · UNIVERSITY OF WASHINGTON · PI CLARK, SAMUEL J · 2008 to 2012
$620k
NICHD NIH HHS K01 HD057246NICHD NIH HHS P2C HD042828NICHD NIH HHS R01 HD054511NICHD NIH HHS R01 HD070936NICHD NIH HHS R24 HD042828
6 · The paper itself

Abstract

The original version of Bayesian reconstruction, a method for estimating age-specific fertility, mortality, migration and population counts of the recent past with uncertainty, produced estimates for female-only populations. Here we show how two-sex populations can be similarly reconstructed and probabilistic estimates of various sex ratio quantities obtained. We demonstrate the method by reconstructing the populations of India from 1971 to 2001, Thailand from 1960 to 2000, and Laos from 1985 to 2005. We found evidence that in India, sex ratio at birth exceeded its conventional upper limit of 1.06, and, further, increased over the period of study, with posterior probability above 0.9. In addition, almost uniquely, we found evidence that life expectancy at birth (

Indexed as

Bayesian hierarchical modelPopulation projectionSex ratio at birthSex ratio of mortalityTwo-sex modelVital Rates

Identifiers

PMID26612972
PMCPMC4657758

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.