Evidence map›Paper›PMID 25580082›Full record

ArticleDemographic research2014

Joint Probabilistic Projection of Female and Male Life Expectancy.

Adrian E Raftery, Nevena Lalic, Patrick Gerland

Abstract read
In one paragraph

Article in Demographic research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Probabilistic Projection of Subnational Life Expectancy.Journal of official statistics · 2021
    Article
  5. Article
  6. Article
  7. Article
  8. Article
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  11. Article
  12. Journal of statistical software · 2016
    Article
  13. Use and Communication of Probabilistic Forecasts.Statistical analysis and data mining · 2016
    Article
  14. Probabilistic population projections with migration uncertainty.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  15. Review
  16. Bayesian Reconstruction of Two-Sex Populations by Age: Estimating Sex Ratios at Birth and Sex Ratios of Mortality.Journal of the Royal Statistical Society. Series A, (Statistics in Society) · 2015
    Article
  17. Article
  18. Article
  19. Bayesian Population Projections for the United Nations.Statistical science : a review journal of the Institute of Mathematical Statistics · 2014
    Article
  20. Bayesian probabilistic population projections for all countries.Proceedings of the National Academy of Sciences of the United States of America · 2012
    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

3 authors.

Adrian E RafteryDepartments of Statistics and Sociology, University of Washington, Seattle, Washington, USA.
Nevena LalicInstitutional Research, University of Washington, Seattle, Washington, USA.
Patrick GerlandUnited Nations Population Division, Population Estimates and Projection Section, New York, New York, USA.

Funding

Methods and Data CoreR24HD042828 · NICHD · UNIVERSITY OF WASHINGTON · PI TOLNAY, STEWART E · 2002 to 2016
$9.3M
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
NICHD NIH HHS R01 HD054511NICHD NIH HHS R01 HD070936NICHD NIH HHS R24 HD042828
6 · The paper itself

Abstract

backgroundThe United Nations (UN) produces population projections for all countries every two years. These are used by international organizations, governments, the private sector and researchers for policy planning, for monitoring development goals, as inputs to economic and environmental models, and for social and health research. The UN is considering producing fully probabilistic population projections, for which joint probabilistic projections of future female and male life expectancy at birth are needed.

objectiveWe propose a methodology for obtaining joint probabilistic projections of female and male life expectancy at birth.

methodsWe first project female life expectancy using a one-sex method for probabilistic projection of life expectancy. We then project the gap between female and male life expectancy. We propose an autoregressive model for the gap in a future time period for a particular country, which is a function of female life expectancy and a

resultsWe evaluated our model using out-of-sample projections for the period 1995-2010, and found that our method performed better than several possible alternatives.

conclusionsWe find that the average gap between female and male life expectancy has been increasing for female life expectancy below 75, and decreasing for female life expectancy above 75. Our projections of the gap are lower than the UN's 2008 projections for most countries and so lead to higher projections of male life expectancy.

Identifiers

PMID25580082
PMCPMC4287237

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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.