A Limited Dependent Variable Model for Heritability Estimation with Non-Random Ascertained Samples.
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| Title: | A Limited Dependent Variable Model for Heritability Estimation with Non-Random Ascertained Samples. |
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| Authors: | Bechger, Timo M., Boomsma, Dorret I., Koning, Henk |
| Source: | Behavior Genetics. Mar2002, Vol. 32 Issue 2, p145. 7p. |
| Subjects: | Statistical sampling, Asthma, Inference (Logic) |
| Abstract: | In a questionnaire study, a random sample of Dutch families was asked whether they suffered from asthma and related symptoms. From these families, a selected sample was invited to come to the hospital for further phenotyping. Families were selected if at least one family member reported a history of asthma and the twins were 18 years of age or older. Not all families that were thus selected volunteered, leaving us with a fraction of the original sample. The aim of this paper is to describe a limited dependent variable model that can be used in such situations in order to obtain estimates that are representative of the population from which the sample was originally drawn. The model is a linear (DeFries-Fulker) regression model corrected for sample selection. This correction is possible when (some of) the characteristics that determine whether subjects volunteer (or not) are known for all subjects, including those that did not volunteer. The questionnaire study is of interest by itself but serves mainly to provide a concrete illustration of our method. The present model is used to analyze the data and the results are compared to those obtained with other methods: raw (or direct) likelihood estimation, multiple imputation, and sample weighting. Throughout, Rubin's general theory of inference with missing data serves as an integrating framework. [ABSTRACT FROM AUTHOR] |
| Copyright of Behavior Genetics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 11304970 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A Limited Dependent Variable Model for Heritability Estimation with Non-Random Ascertained Samples. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Bechger%2C+Timo+M%2E%22">Bechger, Timo M.</searchLink><br /><searchLink fieldCode="AR" term="%22Boomsma%2C+Dorret+I%2E%22">Boomsma, Dorret I.</searchLink><br /><searchLink fieldCode="AR" term="%22Koning%2C+Henk%22">Koning, Henk</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Behavior+Genetics%22">Behavior Genetics</searchLink>. Mar2002, Vol. 32 Issue 2, p145. 7p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Statistical+sampling%22">Statistical sampling</searchLink><br /><searchLink fieldCode="DE" term="%22Asthma%22">Asthma</searchLink><br /><searchLink fieldCode="DE" term="%22Inference+%28Logic%29%22">Inference (Logic)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In a questionnaire study, a random sample of Dutch families was asked whether they suffered from asthma and related symptoms. From these families, a selected sample was invited to come to the hospital for further phenotyping. Families were selected if at least one family member reported a history of asthma and the twins were 18 years of age or older. Not all families that were thus selected volunteered, leaving us with a fraction of the original sample. The aim of this paper is to describe a limited dependent variable model that can be used in such situations in order to obtain estimates that are representative of the population from which the sample was originally drawn. The model is a linear (DeFries-Fulker) regression model corrected for sample selection. This correction is possible when (some of) the characteristics that determine whether subjects volunteer (or not) are known for all subjects, including those that did not volunteer. The questionnaire study is of interest by itself but serves mainly to provide a concrete illustration of our method. The present model is used to analyze the data and the results are compared to those obtained with other methods: raw (or direct) likelihood estimation, multiple imputation, and sample weighting. Throughout, Rubin's general theory of inference with missing data serves as an integrating framework. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Behavior Genetics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=11304970 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1023/A:1015257908396 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 7 StartPage: 145 Subjects: – SubjectFull: Statistical sampling Type: general – SubjectFull: Asthma Type: general – SubjectFull: Inference (Logic) Type: general Titles: – TitleFull: A Limited Dependent Variable Model for Heritability Estimation with Non-Random Ascertained Samples. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Bechger, Timo M. – PersonEntity: Name: NameFull: Boomsma, Dorret I. – PersonEntity: Name: NameFull: Koning, Henk IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2002 Type: published Y: 2002 Identifiers: – Type: issn-print Value: 00018244 Numbering: – Type: volume Value: 32 – Type: issue Value: 2 Titles: – TitleFull: Behavior Genetics Type: main |
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