Frailty modeling for clustered survival data: an application to birth interval in Bangladesh

The present work demonstrates an application of random effects model for analyzing birth intervals that are clustered into geographical regions. Observations from the same cluster are assumed to be correlated because usually they share certain unobserved characteristics between them. Ignoring the co...

Full description

Saved in:
Bibliographic Details
Published in:Journal of applied statistics 2013-12, Vol.40 (12), p.2670-2680
Main Authors: Mahmood, Sharif, Zainab, Begum, Latif, A.H.M. Mahbub
Format: Article
Language:English
Subjects:
Applied statistics
Birth
birth interval
Births
Clustering
correlated survival data
Correlation
Correlation analysis
Demographics
Demography
Intervals
Mathematical models
Parameter estimation
proportional hazards model
random effects model
residual maximum likelihood
Socioeconomic factors
Studies
Survival
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c368t-e5a27e4f14eb599b45a572538f5fa6a2bb212a5a293d6cebc8a555a28b0fadc03
cites cdi_FETCH-LOGICAL-c368t-e5a27e4f14eb599b45a572538f5fa6a2bb212a5a293d6cebc8a555a28b0fadc03
container_end_page 2680
container_issue 12
container_start_page 2670
container_title Journal of applied statistics
container_volume 40
creator Mahmood, Sharif
Zainab, Begum
Latif, A.H.M. Mahbub
description The present work demonstrates an application of random effects model for analyzing birth intervals that are clustered into geographical regions. Observations from the same cluster are assumed to be correlated because usually they share certain unobserved characteristics between them. Ignoring the correlations among the observations may lead to incorrect standard errors of the estimates of parameters of interest. Beside making the comparisons between Cox's proportional hazards model and random effects model for analyzing geographically clustered time-to-event data, important demographic and socioeconomic factors that may affect the length of birth intervals of Bangladeshi women are also reported in this paper.
doi_str_mv 10.1080/02664763.2013.825702
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1464562815</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1464562815</sourcerecordid><originalsourceid>FETCH-LOGICAL-c368t-e5a27e4f14eb599b45a572538f5fa6a2bb212a5a293d6cebc8a555a28b0fadc03</originalsourceid><addsrcrecordid>eNp9kE1LAzEQhoMoWKv_wEPAi5et-dhkt15ExaogeNGbEGaz2RpJk5pkK_337lK9eBAGhoHnHWYehE4pmVFSkwvCpCwryWeMUD6rmagI20MTyiUpiOBsH01GpBiZQ3SU0gchpKaCT9DbIoJ1eYtXoTXO-iXuQsTa9SmbaFqc-rixG3C4hQyXGDyG9dpZDdkGj3PAjY35HVs_4CNmPb4Bv3TQmvR-jA46cMmc_PQpel3cvdw-FE_P94-310-F5rLOhRHAKlN2tDSNmM-bUoComOB1JzqQwJqGUQYDNOet1KbRNQgxjHVDOmg14VN0vtu7juGzNymrlU3aOAfehD4pWspSSDZ-PEVnf9CP0Ec_XDdQ5Vi04gNV7igdQ0rRdGod7QriVlGiRuXqV7kalaud8iF2tYtZP1hcwVeIrlUZti7ELoLXNin-74Zvb9aIHA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1441441173</pqid></control><display><type>article</type><title>Frailty modeling for clustered survival data: an application to birth interval in Bangladesh</title><source>Business Source Ultimate【Trial: -2024/12/31】【Remote access available】</source><source>Taylor and Francis Science and Technology Collection</source><creator>Mahmood, Sharif ; Zainab, Begum ; Latif, A.H.M. Mahbub</creator><creatorcontrib>Mahmood, Sharif ; Zainab, Begum ; Latif, A.H.M. Mahbub</creatorcontrib><description>The present work demonstrates an application of random effects model for analyzing birth intervals that are clustered into geographical regions. Observations from the same cluster are assumed to be correlated because usually they share certain unobserved characteristics between them. Ignoring the correlations among the observations may lead to incorrect standard errors of the estimates of parameters of interest. Beside making the comparisons between Cox's proportional hazards model and random effects model for analyzing geographically clustered time-to-event data, important demographic and socioeconomic factors that may affect the length of birth intervals of Bangladeshi women are also reported in this paper.</description><identifier>ISSN: 0266-4763</identifier><identifier>EISSN: 1360-0532</identifier><identifier>DOI: 10.1080/02664763.2013.825702</identifier><language>eng</language><publisher>Abingdon: Taylor &amp; Francis</publisher><subject>Applied statistics ; Birth ; birth interval ; Births ; Clustering ; correlated survival data ; Correlation ; Correlation analysis ; Demographics ; Demography ; Intervals ; Mathematical models ; Parameter estimation ; proportional hazards model ; random effects model ; residual maximum likelihood ; Socioeconomic factors ; Studies ; Survival</subject><ispartof>Journal of applied statistics, 2013-12, Vol.40 (12), p.2670-2680</ispartof><rights>2013 Taylor &amp; Francis 2013</rights><rights>Copyright Taylor &amp; Francis Ltd. 2013</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c368t-e5a27e4f14eb599b45a572538f5fa6a2bb212a5a293d6cebc8a555a28b0fadc03</citedby><cites>FETCH-LOGICAL-c368t-e5a27e4f14eb599b45a572538f5fa6a2bb212a5a293d6cebc8a555a28b0fadc03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Mahmood, Sharif</creatorcontrib><creatorcontrib>Zainab, Begum</creatorcontrib><creatorcontrib>Latif, A.H.M. Mahbub</creatorcontrib><title>Frailty modeling for clustered survival data: an application to birth interval in Bangladesh</title><title>Journal of applied statistics</title><description>The present work demonstrates an application of random effects model for analyzing birth intervals that are clustered into geographical regions. Observations from the same cluster are assumed to be correlated because usually they share certain unobserved characteristics between them. Ignoring the correlations among the observations may lead to incorrect standard errors of the estimates of parameters of interest. Beside making the comparisons between Cox's proportional hazards model and random effects model for analyzing geographically clustered time-to-event data, important demographic and socioeconomic factors that may affect the length of birth intervals of Bangladeshi women are also reported in this paper.</description><subject>Applied statistics</subject><subject>Birth</subject><subject>birth interval</subject><subject>Births</subject><subject>Clustering</subject><subject>correlated survival data</subject><subject>Correlation</subject><subject>Correlation analysis</subject><subject>Demographics</subject><subject>Demography</subject><subject>Intervals</subject><subject>Mathematical models</subject><subject>Parameter estimation</subject><subject>proportional hazards model</subject><subject>random effects model</subject><subject>residual maximum likelihood</subject><subject>Socioeconomic factors</subject><subject>Studies</subject><subject>Survival</subject><issn>0266-4763</issn><issn>1360-0532</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNp9kE1LAzEQhoMoWKv_wEPAi5et-dhkt15ExaogeNGbEGaz2RpJk5pkK_337lK9eBAGhoHnHWYehE4pmVFSkwvCpCwryWeMUD6rmagI20MTyiUpiOBsH01GpBiZQ3SU0gchpKaCT9DbIoJ1eYtXoTXO-iXuQsTa9SmbaFqc-rixG3C4hQyXGDyG9dpZDdkGj3PAjY35HVs_4CNmPb4Bv3TQmvR-jA46cMmc_PQpel3cvdw-FE_P94-310-F5rLOhRHAKlN2tDSNmM-bUoComOB1JzqQwJqGUQYDNOet1KbRNQgxjHVDOmg14VN0vtu7juGzNymrlU3aOAfehD4pWspSSDZ-PEVnf9CP0Ec_XDdQ5Vi04gNV7igdQ0rRdGod7QriVlGiRuXqV7kalaud8iF2tYtZP1hcwVeIrlUZti7ELoLXNin-74Zvb9aIHA</recordid><startdate>20131201</startdate><enddate>20131201</enddate><creator>Mahmood, Sharif</creator><creator>Zainab, Begum</creator><creator>Latif, A.H.M. Mahbub</creator><general>Taylor &amp; Francis</general><general>Taylor &amp; Francis Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>H8D</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20131201</creationdate><title>Frailty modeling for clustered survival data: an application to birth interval in Bangladesh</title><author>Mahmood, Sharif ; Zainab, Begum ; Latif, A.H.M. Mahbub</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c368t-e5a27e4f14eb599b45a572538f5fa6a2bb212a5a293d6cebc8a555a28b0fadc03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Applied statistics</topic><topic>Birth</topic><topic>birth interval</topic><topic>Births</topic><topic>Clustering</topic><topic>correlated survival data</topic><topic>Correlation</topic><topic>Correlation analysis</topic><topic>Demographics</topic><topic>Demography</topic><topic>Intervals</topic><topic>Mathematical models</topic><topic>Parameter estimation</topic><topic>proportional hazards model</topic><topic>random effects model</topic><topic>residual maximum likelihood</topic><topic>Socioeconomic factors</topic><topic>Studies</topic><topic>Survival</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mahmood, Sharif</creatorcontrib><creatorcontrib>Zainab, Begum</creatorcontrib><creatorcontrib>Latif, A.H.M. Mahbub</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Journal of applied statistics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mahmood, Sharif</au><au>Zainab, Begum</au><au>Latif, A.H.M. Mahbub</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Frailty modeling for clustered survival data: an application to birth interval in Bangladesh</atitle><jtitle>Journal of applied statistics</jtitle><date>2013-12-01</date><risdate>2013</risdate><volume>40</volume><issue>12</issue><spage>2670</spage><epage>2680</epage><pages>2670-2680</pages><issn>0266-4763</issn><eissn>1360-0532</eissn><abstract>The present work demonstrates an application of random effects model for analyzing birth intervals that are clustered into geographical regions. Observations from the same cluster are assumed to be correlated because usually they share certain unobserved characteristics between them. Ignoring the correlations among the observations may lead to incorrect standard errors of the estimates of parameters of interest. Beside making the comparisons between Cox's proportional hazards model and random effects model for analyzing geographically clustered time-to-event data, important demographic and socioeconomic factors that may affect the length of birth intervals of Bangladeshi women are also reported in this paper.</abstract><cop>Abingdon</cop><pub>Taylor &amp; Francis</pub><doi>10.1080/02664763.2013.825702</doi><tpages>11</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0266-4763
ispartof Journal of applied statistics, 2013-12, Vol.40 (12), p.2670-2680
issn 0266-4763
1360-0532
language eng
recordid cdi_proquest_miscellaneous_1464562815
source Business Source Ultimate【Trial: -2024/12/31】【Remote access available】; Taylor and Francis Science and Technology Collection
subjects Applied statistics
Birth
birth interval
Births
Clustering
correlated survival data
Correlation
Correlation analysis
Demographics
Demography
Intervals
Mathematical models
Parameter estimation
proportional hazards model
random effects model
residual maximum likelihood
Socioeconomic factors
Studies
Survival
title Frailty modeling for clustered survival data: an application to birth interval in Bangladesh
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T23%3A02%3A32IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Frailty%20modeling%20for%20clustered%20survival%20data:%20an%20application%20to%20birth%20interval%20in%20Bangladesh&rft.jtitle=Journal%20of%20applied%20statistics&rft.au=Mahmood,%20Sharif&rft.date=2013-12-01&rft.volume=40&rft.issue=12&rft.spage=2670&rft.epage=2680&rft.pages=2670-2680&rft.issn=0266-4763&rft.eissn=1360-0532&rft_id=info:doi/10.1080/02664763.2013.825702&rft_dat=%3Cproquest_cross%3E1464562815%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c368t-e5a27e4f14eb599b45a572538f5fa6a2bb212a5a293d6cebc8a555a28b0fadc03%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1441441173&rft_id=info:pmid/&rfr_iscdi=true