ArticlePopulation studies2016
Bayesian population reconstruction of female populations for less developed and more developed countries.
Article in Population studies, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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Who cites it
5 citing papers in PubMed.
- Routine data for malaria morbidity estimation in Africa: challenges and prospects.BMC medicine · 2020Article
- Mortality, morbidity, and risk factors in China and its provinces, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017.Lancet (London, England) · 2019 · on this mapArticle
- Population and fertility by age and sex for 195 countries and territories, 1950-2017: a systematic analysis for the Global Burden of Disease Study 2017.Lancet (London, England) · 2018Article
- Bayesian demography 250 years after Bayes.Population studies · 2016Review
- Probabilistic population forecasting: Short to very long-term.International journal of forecastingArticle
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
We show that Bayesian population reconstruction, a recent method for estimating past populations by age, works for data of widely varying quality. Bayesian reconstruction simultaneously estimates age-specific population counts, fertility rates, mortality rates, and net international migration flows from fragmentary data, while formally accounting for measurement error. As inputs, Bayesian reconstruction uses initial bias-reduced estimates of standard demographic variables. We reconstruct the female populations of three countries: Laos, a country with little vital registration data where population estimation depends largely on surveys; Sri Lanka, a country with some vital registration data; and New Zealand, a country with a highly developed statistical system and good quality vital registration data. In addition, we extend the method to countries without censuses at regular intervals. We also use it to assess the consistency of results between model life tables and available census data, and hence to compare different model life table systems.
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Registered trials
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