Jessie K Edwards, Tiffany L Breger, Stephen R Cole, Paul N Zivich, Bonnie E Shook-Sa, Leah M Sadinski, Daniel Westreich, Andrew Edmonds, Catalina Ramirez, Igho Ofotokun, Seble G Kassaye, Todd T Brown, Deborah Konkle-Parker, Valentina Stosor, Robert Bolan, Sarah Krier, Deborah L Jones, Gypsyamber D'Souza, Mardge Cohen, Phyllis C Tien, Tonya Taylor, Kathryn Anastos, M Bradley Drummond, Michelle Floris-Moore
{"title":"多中心艾滋病队列研究和妇女跨机构艾滋病毒研究中的权利审查和死亡率。","authors":"Jessie K Edwards, Tiffany L Breger, Stephen R Cole, Paul N Zivich, Bonnie E Shook-Sa, Leah M Sadinski, Daniel Westreich, Andrew Edmonds, Catalina Ramirez, Igho Ofotokun, Seble G Kassaye, Todd T Brown, Deborah Konkle-Parker, Valentina Stosor, Robert Bolan, Sarah Krier, Deborah L Jones, Gypsyamber D'Souza, Mardge Cohen, Phyllis C Tien, Tonya Taylor, Kathryn Anastos, M Bradley Drummond, Michelle Floris-Moore","doi":"10.1097/EDE.0000000000001852","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Epidemiologists frequently employ right censoring to handle missing outcome, covariate, or exposure data incurred when participants have large gaps between study visits or stop attending study visits entirely. But, if participants who are censored are more or less likely to experience outcomes of interest than those not censored, such censoring could introduce bias in estimated measures.</p><p><strong>Methods: </strong>We examined how censoring after two consecutive missed visits may affect mortality results from the Multicenter AIDS Cohort Study (MACS) and Women's Interagency HIV Study (WIHS). MACS and WIHS provide linkages to vital statistics registries, such that mortality data were available for all participants, regardless of whether they attended study visits.</p><p><strong>Results: </strong>In a gold standard analysis that did not censor after two consecutive missed visits, 10-year mortality was 23% (95% CI: 22, 24) in MACS and 21% (95% CI: 20, 23) in WIHS. Estimated mortality was modestly reduced by 0-5% across subgroups when censoring at missed visits. Applying inverse probability of censoring weights partially removed this attenuation.</p><p><strong>Conclusions: </strong>While mortality was slightly elevated after two consecutive missed visits in MACS and WIHS, censoring at two consecutive missed visits did not substantially alter estimated mortality, particularly after applying inverse probability of censoring weights.</p>","PeriodicalId":11779,"journal":{"name":"Epidemiology","volume":" ","pages":""},"PeriodicalIF":4.7000,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Right censoring and mortality in the Multicenter AIDS Cohort Study and Women's Interagency HIV Study.\",\"authors\":\"Jessie K Edwards, Tiffany L Breger, Stephen R Cole, Paul N Zivich, Bonnie E Shook-Sa, Leah M Sadinski, Daniel Westreich, Andrew Edmonds, Catalina Ramirez, Igho Ofotokun, Seble G Kassaye, Todd T Brown, Deborah Konkle-Parker, Valentina Stosor, Robert Bolan, Sarah Krier, Deborah L Jones, Gypsyamber D'Souza, Mardge Cohen, Phyllis C Tien, Tonya Taylor, Kathryn Anastos, M Bradley Drummond, Michelle Floris-Moore\",\"doi\":\"10.1097/EDE.0000000000001852\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Epidemiologists frequently employ right censoring to handle missing outcome, covariate, or exposure data incurred when participants have large gaps between study visits or stop attending study visits entirely. But, if participants who are censored are more or less likely to experience outcomes of interest than those not censored, such censoring could introduce bias in estimated measures.</p><p><strong>Methods: </strong>We examined how censoring after two consecutive missed visits may affect mortality results from the Multicenter AIDS Cohort Study (MACS) and Women's Interagency HIV Study (WIHS). MACS and WIHS provide linkages to vital statistics registries, such that mortality data were available for all participants, regardless of whether they attended study visits.</p><p><strong>Results: </strong>In a gold standard analysis that did not censor after two consecutive missed visits, 10-year mortality was 23% (95% CI: 22, 24) in MACS and 21% (95% CI: 20, 23) in WIHS. Estimated mortality was modestly reduced by 0-5% across subgroups when censoring at missed visits. Applying inverse probability of censoring weights partially removed this attenuation.</p><p><strong>Conclusions: </strong>While mortality was slightly elevated after two consecutive missed visits in MACS and WIHS, censoring at two consecutive missed visits did not substantially alter estimated mortality, particularly after applying inverse probability of censoring weights.</p>\",\"PeriodicalId\":11779,\"journal\":{\"name\":\"Epidemiology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":4.7000,\"publicationDate\":\"2025-03-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Epidemiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1097/EDE.0000000000001852\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Epidemiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/EDE.0000000000001852","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
Right censoring and mortality in the Multicenter AIDS Cohort Study and Women's Interagency HIV Study.
Background: Epidemiologists frequently employ right censoring to handle missing outcome, covariate, or exposure data incurred when participants have large gaps between study visits or stop attending study visits entirely. But, if participants who are censored are more or less likely to experience outcomes of interest than those not censored, such censoring could introduce bias in estimated measures.
Methods: We examined how censoring after two consecutive missed visits may affect mortality results from the Multicenter AIDS Cohort Study (MACS) and Women's Interagency HIV Study (WIHS). MACS and WIHS provide linkages to vital statistics registries, such that mortality data were available for all participants, regardless of whether they attended study visits.
Results: In a gold standard analysis that did not censor after two consecutive missed visits, 10-year mortality was 23% (95% CI: 22, 24) in MACS and 21% (95% CI: 20, 23) in WIHS. Estimated mortality was modestly reduced by 0-5% across subgroups when censoring at missed visits. Applying inverse probability of censoring weights partially removed this attenuation.
Conclusions: While mortality was slightly elevated after two consecutive missed visits in MACS and WIHS, censoring at two consecutive missed visits did not substantially alter estimated mortality, particularly after applying inverse probability of censoring weights.
期刊介绍:
Epidemiology publishes original research from all fields of epidemiology. The journal also welcomes review articles and meta-analyses, novel hypotheses, descriptions and applications of new methods, and discussions of research theory or public health policy. We give special consideration to papers from developing countries.