Literature DB >> 12293397

Analysis of the human sex ratio by using overdispersion models.

J K Lindsey, P M Altham.   

Abstract

Data from nineteenth-century Germany are reanalyzed to determine how the probability for having a child of each sex changes with family size. The data, collected by A. Geissler, concern some 1 million birth registrations and 3.7 million births occurring in Saxony between 1876 and 1885. Three models are fitted to the data. "The multiplicative and beta-binomial models provide similar fits, substantially better than that of the double-binomial model. All models show that both the probability that the child is a boy and the dispersion are greater in larger families. There is also some indication that a point probability mass is needed for families containing children uniquely of one sex." excerpt

Entities:  

Keywords:  Demographic Factors; Developed Countries; Europe; Family And Household; Family Characteristics; Family Size; Germany; Historical Survey; Models, Theoretical; Population; Population Characteristics; Research Methodology; Sex Distribution; Sex Factors; Sex Ratio; Western Europe

Mesh:

Year:  1998        PMID: 12293397     DOI: 10.1111/1467-9876.00103

Source DB:  PubMed          Journal:  J R Stat Soc Ser C Appl Stat        ISSN: 0035-9254            Impact factor:   1.864


  2 in total

1.  The global male-bias in sex ratio at birth is sustained by the sex ratio genotypes of replacement offspring.

Authors:  Corry Gellatly
Journal:  Genetica       Date:  2019-08-07       Impact factor: 1.082

2.  Analysis of overdispersed count data: application to the Human Papillomavirus Infection in Men (HIM) Study.

Authors:  J-H Lee; G Han; W J Fulp; A R Giuliano
Journal:  Epidemiol Infect       Date:  2011-08-30       Impact factor: 2.451

  2 in total

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