Evidence map›Paper›PMID 34853487›Full record

ArticleHistorical methods2020

Reconstruction of Birth Histories for the Study of Fertility in the United States, 1830-1910.

J David Hacker

Abstract read
In one paragraph

Article in Historical methods, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. The impact of US assimilation and allotment policy on American Indian mortality.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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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

1 author.

J David HackerUniversity of Minnesota, Department of History, College of Liberal Arts, 1110 Heller Hall/Del. Code 7062, 271 -- 19th Avenue South, Minneapolis, MN 55455.

Funding

Minnesota Population Center Science and Technical CoreP2CHD041023 · NICHD · UNIVERSITY OF MINNESOTA · PI THERESA LOUISE OSYPUK · 2016 to 2026
$4.3M
Spatial Analysis CoreR24HD041023 · NICHD · UNIVERSITY OF MINNESOTA TWIN CITIES · PI RUGGLES, STEVE · 2001 to 2016
$4.1M
Models of Demographic and Health Changes following Military ConflictR01HD082120 · NICHD · UNIVERSITY OF MINNESOTA · PI HACKER, J. DAVID · 2015 to 2019
$2.9M
NICHD NIH HHS P2C HD041023NICHD NIH HHS R01 HD082120NICHD NIH HHS R24 HD041023
6 · The paper itself

Abstract

This paper describes a method to reconstruct complete birth histories for women in the 1900 and 1910 U. S. census IPUMS samples. The method is an extension of an earlier method developed by Luther and Cho (1988). The basic method relies on the number of children ever born, number of children surviving, number of children coresident in the household and age-specific fertility rates for the population to probabilistically assign an "age" to deceased and unmatched children. Modifications include the addition of an iterative Poisson regression model to fine-tune age-specific fertility inputs. The potential of complete birth histories for the study of the U.S. fertility transition is illustrated with a few examples.

Identifiers

PMID34853487
PMCPMC8631723

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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.