Evidence map›Paper›PMID 41348276›Full record

ArticleEuropean journal of population = Revue europeenne de demographie2025

Analysing Biases in Genealogies Using Demographic Microsimulation.

Liliana P Calderón-Bernal, Diego Alburez-Gutierrez, Emilio Zagheni

Abstract read
In one paragraph

Article in European journal of population = Revue europeenne de demographie, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Liliana P Calderón-BernalMax Planck Institute for Demographic Research, Rostock, Germany. calderonbernal@demogr.mpg.de.ORCID http://orcid.org/0009-0002-7629-9718
Diego Alburez-GutierrezMax Planck Institute for Demographic Research, Rostock, Germany.ORCID http://orcid.org/0000-0002-9823-5179
Emilio ZagheniMax Planck Institute for Demographic Research, Rostock, Germany.ORCID http://orcid.org/0000-0002-7660-8368

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An incomplete understanding of biases affecting the representativeness of genealogies has hindered their full exploitation. We report on a series of experiments on synthetic populations assessing how structural biases in ascendant genealogies affect the accuracy of demographic estimates. Using the SOCSIM microsimulation programme and Swedish fertility and mortality data (1751-2022), we analyse three biases: lineage survival, limited coverage of collateral kin, and selective omission. Comparing demographic measures from 'fully recorded' and 'bias-infused' synthetic populations, we find that across the period, including only direct ancestors can underestimate total fertility rate (TFR) ([Formula: see text]) and overestimate life expectancy at birth ([Formula: see text]) ([Formula: see text]), mainly due to missing infant, child, and some young adult deaths. Including direct ancestors' offspring shifts TFR to overestimation ([Formula: see text]) while improving mortality estimation across all ages, with [Formula: see text] overestimation reduced to [Formula: see text]. Our study shows that completeness of family trees is essential for obtaining accurate demographic estimates from genealogies.

Indexed as

BiasesGenealogiesHistorical demographyKinshipMicrosimulation

Identifiers

PMID41348276
PMCPMC12686277

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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.