How to Find a Wombmate: Validation of an Algorithm to Identify Twin Pairs in Linked Birth/Infant Death Files
Linked Birth/Infant Death Files available from the National Center for Health Statistics identify an infant as a twin, but do not identify twin pairs. An algorithm based on maternal, paternal, and infant characteristics has been used to identify twin pairs, but the validity of this algorithm has nev...
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| Veröffentlicht in: | American journal of epidemiology 1994-03, Vol.139 (5), p.535-540 |
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| creator | Powers, William F. Kiely, John L. |
| description | Linked Birth/Infant Death Files available from the National Center for Health Statistics identify an infant as a twin, but do not identify twin pairs. An algorithm based on maternal, paternal, and infant characteristics has been used to identify twin pairs, but the validity of this algorithm has never been tested. The Missouri linked birth/infant death file from 1980 to 1990 identifies twin pairs by a sequence number. The authors tested the rate and accuracy with which the algorithm identified true pairs in the Missouri file and whether estimates of risk and possible risk factors calculated from pairs of twins identified by the algorithm agreed with these characteristics as calculated from known twin pairs. The algorithm identified 96% (8,273 of 8,620) of true pairs and one false pair. Despite incomplete pair identification, and even identification of a false pair, estimates from the subset identified by the algorithm generally agreed well with characteristics measured from all twin pairs. Nonetheless, incorporation of a multiple birth sequence number into Linked Birth/Infant Death Files would enhance their utility. |
| doi_str_mv | 10.1093/oxfordjournals.aje.a117038 |
| format | Article |
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An algorithm based on maternal, paternal, and infant characteristics has been used to identify twin pairs, but the validity of this algorithm has never been tested. The Missouri linked birth/infant death file from 1980 to 1990 identifies twin pairs by a sequence number. The authors tested the rate and accuracy with which the algorithm identified true pairs in the Missouri file and whether estimates of risk and possible risk factors calculated from pairs of twins identified by the algorithm agreed with these characteristics as calculated from known twin pairs. The algorithm identified 96% (8,273 of 8,620) of true pairs and one false pair. Despite incomplete pair identification, and even identification of a false pair, estimates from the subset identified by the algorithm generally agreed well with characteristics measured from all twin pairs. 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An algorithm based on maternal, paternal, and infant characteristics has been used to identify twin pairs, but the validity of this algorithm has never been tested. The Missouri linked birth/infant death file from 1980 to 1990 identifies twin pairs by a sequence number. The authors tested the rate and accuracy with which the algorithm identified true pairs in the Missouri file and whether estimates of risk and possible risk factors calculated from pairs of twins identified by the algorithm agreed with these characteristics as calculated from known twin pairs. The algorithm identified 96% (8,273 of 8,620) of true pairs and one false pair. Despite incomplete pair identification, and even identification of a false pair, estimates from the subset identified by the algorithm generally agreed well with characteristics measured from all twin pairs. Nonetheless, incorporation of a multiple birth sequence number into Linked Birth/Infant Death Files would enhance their utility.</description><subject>Algorithms</subject><subject>Biological and medical sciences</subject><subject>Databases, Factual</subject><subject>Epidemiologic Methods</subject><subject>Epidemiology</subject><subject>Female</subject><subject>General aspects</subject><subject>Humans</subject><subject>Infant</subject><subject>Infant Mortality</subject><subject>Infant, Newborn</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Methodology</subject><subject>Missouri - epidemiology</subject><subject>National Center for Health Statistics (U.S.)</subject><subject>Public health. Hygiene</subject><subject>Public health. Hygiene-occupational medicine</subject><subject>risk factors</subject><subject>twins</subject><subject>Twins - statistics & numerical data</subject><subject>United States</subject><issn>0002-9262</issn><issn>1476-6256</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1994</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>K30</sourceid><recordid>eNqFkU1vEzEQhlcIVNLCT0CyAPW26fhjvbu9lUBJaCQ4lIC4WJNdmzjdtYvtqO2_Z6sskeDCwRpL7zNja54se01hSqHmZ_7e-NBu_S447OIUt3qKlJbAqyfZhIpS5pIV8mk2AQCW10yy59lxjFsASusCjrKjihZClNUk6-b-jiRPLq1rCZJvvl_3mPQ5WWFnW0zWO-INQUcuup8-2LTpH_FFq12y5oFc31lHvqANkQyXpXU3uiXvbEibs4Uz6BJ5rzFthvmdji-yZ2b4sH451pPs6-WH69k8X37-uJhdLPNGCEh5XSEC6Iozges11GAaWbWgGaNA1waFLCpDTU0lbwrDNELNeIncQMONlpqfZKf7ubfB_9rpmFRvY6O7Dp32u6hKKVg9nP-CVFaUlVQM4Jt_wD_bV5SDlIWsWT1Q53uqCT7GoI26DbbH8KAoqEdz6m9zajCnRnND86vxid261-2hdVQ15G_HHGODnQnoGhsPmIBKCEYHLN9jNiZ9f4gx3ChZ8rJQ8-8_1Gp1xWerT1dqxX8DYC21rA</recordid><startdate>19940301</startdate><enddate>19940301</enddate><creator>Powers, William F.</creator><creator>Kiely, John L.</creator><general>Oxford University Press</general><general>School of Hygiene and Public Health of the Johns Hopkins University</general><scope>BSCLL</scope><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>HVZBN</scope><scope>K30</scope><scope>PAAUG</scope><scope>PAWHS</scope><scope>PAWZZ</scope><scope>PAXOH</scope><scope>PBHAV</scope><scope>PBQSW</scope><scope>PBYQZ</scope><scope>PCIWU</scope><scope>PCMID</scope><scope>PCZJX</scope><scope>PDGRG</scope><scope>PDWWI</scope><scope>PETMR</scope><scope>PFVGT</scope><scope>PGXDX</scope><scope>PIHIL</scope><scope>PISVA</scope><scope>PJCTQ</scope><scope>PJTMS</scope><scope>PLCHJ</scope><scope>PMHAD</scope><scope>PNQDJ</scope><scope>POUND</scope><scope>PPLAD</scope><scope>PQAPC</scope><scope>PQCAN</scope><scope>PQCMW</scope><scope>PQEME</scope><scope>PQHKH</scope><scope>PQMID</scope><scope>PQNCT</scope><scope>PQNET</scope><scope>PQSCT</scope><scope>PQSET</scope><scope>PSVJG</scope><scope>PVMQY</scope><scope>PZGFC</scope><scope>7U1</scope><scope>7U2</scope><scope>C1K</scope><scope>7X8</scope></search><sort><creationdate>19940301</creationdate><title>How to Find a Wombmate: Validation of an Algorithm to Identify Twin Pairs in Linked Birth/Infant Death Files</title><author>Powers, William F. ; Kiely, John L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c440t-98aa00e8324abb090fc68d0e22101bfa4658f1f9163c5f2ea09237a3f0c3fe6e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1994</creationdate><topic>Algorithms</topic><topic>Biological and medical sciences</topic><topic>Databases, Factual</topic><topic>Epidemiologic Methods</topic><topic>Epidemiology</topic><topic>Female</topic><topic>General aspects</topic><topic>Humans</topic><topic>Infant</topic><topic>Infant Mortality</topic><topic>Infant, Newborn</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Methodology</topic><topic>Missouri - epidemiology</topic><topic>National Center for Health Statistics (U.S.)</topic><topic>Public health. Hygiene</topic><topic>Public health. Hygiene-occupational medicine</topic><topic>risk factors</topic><topic>twins</topic><topic>Twins - statistics & numerical data</topic><topic>United States</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Powers, William F.</creatorcontrib><creatorcontrib>Kiely, John L.</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Periodicals Index Online Segment 24</collection><collection>Periodicals Index Online</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - West</collection><collection>Primary Sources Access (Plan D) - International</collection><collection>Primary Sources Access & Build (Plan A) - MEA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Midwest</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Northeast</collection><collection>Primary Sources Access (Plan D) - Southeast</collection><collection>Primary Sources Access (Plan D) - North Central</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Southeast</collection><collection>Primary Sources Access (Plan D) - South Central</collection><collection>Primary Sources Access & Build (Plan A) - UK / I</collection><collection>Primary Sources Access (Plan D) - Canada</collection><collection>Primary Sources Access (Plan D) - EMEALA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - North Central</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - South Central</collection><collection>Primary Sources Access & Build (Plan A) - International</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - International</collection><collection>Primary Sources Access (Plan D) - West</collection><collection>Periodicals Index Online Segments 1-50</collection><collection>Primary Sources Access (Plan D) - APAC</collection><collection>Primary Sources Access (Plan D) - Midwest</collection><collection>Primary Sources Access (Plan D) - MEA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Canada</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - UK / I</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - EMEALA</collection><collection>Primary Sources Access & Build (Plan A) - APAC</collection><collection>Primary Sources Access & Build (Plan A) - Canada</collection><collection>Primary Sources Access & Build (Plan A) - West</collection><collection>Primary Sources Access & Build (Plan A) - EMEALA</collection><collection>Primary Sources Access (Plan D) - Northeast</collection><collection>Primary Sources Access & Build (Plan A) - Midwest</collection><collection>Primary Sources Access & Build (Plan A) - North Central</collection><collection>Primary Sources Access & Build (Plan A) - Northeast</collection><collection>Primary Sources Access & Build (Plan A) - South Central</collection><collection>Primary Sources Access & Build (Plan A) - Southeast</collection><collection>Primary Sources Access (Plan D) - UK / I</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - APAC</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - MEA</collection><collection>Risk Abstracts</collection><collection>Safety Science and Risk</collection><collection>Environmental Sciences and Pollution Management</collection><collection>MEDLINE - Academic</collection><jtitle>American journal of epidemiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Powers, William F.</au><au>Kiely, John L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>How to Find a Wombmate: Validation of an Algorithm to Identify Twin Pairs in Linked Birth/Infant Death Files</atitle><jtitle>American journal of epidemiology</jtitle><addtitle>Am J Epidemiol</addtitle><date>1994-03-01</date><risdate>1994</risdate><volume>139</volume><issue>5</issue><spage>535</spage><epage>540</epage><pages>535-540</pages><issn>0002-9262</issn><eissn>1476-6256</eissn><coden>AJEPAS</coden><abstract>Linked Birth/Infant Death Files available from the National Center for Health Statistics identify an infant as a twin, but do not identify twin pairs. An algorithm based on maternal, paternal, and infant characteristics has been used to identify twin pairs, but the validity of this algorithm has never been tested. The Missouri linked birth/infant death file from 1980 to 1990 identifies twin pairs by a sequence number. The authors tested the rate and accuracy with which the algorithm identified true pairs in the Missouri file and whether estimates of risk and possible risk factors calculated from pairs of twins identified by the algorithm agreed with these characteristics as calculated from known twin pairs. The algorithm identified 96% (8,273 of 8,620) of true pairs and one false pair. Despite incomplete pair identification, and even identification of a false pair, estimates from the subset identified by the algorithm generally agreed well with characteristics measured from all twin pairs. Nonetheless, incorporation of a multiple birth sequence number into Linked Birth/Infant Death Files would enhance their utility.</abstract><cop>Cary, NC</cop><pub>Oxford University Press</pub><pmid>8154478</pmid><doi>10.1093/oxfordjournals.aje.a117038</doi><tpages>6</tpages></addata></record> |
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| ispartof | American journal of epidemiology, 1994-03, Vol.139 (5), p.535-540 |
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| source | MEDLINE; Oxford University Press Journals Digital Archive Legacy; Periodicals Index Online |
| subjects | Algorithms Biological and medical sciences Databases, Factual Epidemiologic Methods Epidemiology Female General aspects Humans Infant Infant Mortality Infant, Newborn Male Medical sciences Methodology Missouri - epidemiology National Center for Health Statistics (U.S.) Public health. Hygiene Public health. Hygiene-occupational medicine risk factors twins Twins - statistics & numerical data United States |
| title | How to Find a Wombmate: Validation of an Algorithm to Identify Twin Pairs in Linked Birth/Infant Death Files |
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