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Whereas the shared frailty model is widely applied, the correlated frailty model has gained attention because it elevates the restriction of unobserved factors to act similar within clusters. Estimating frailty models is not straightforward due to various types of censoring. In this paper, we study the behavior of the bivariate\u2010correlated gamma frailty model for type I interval\u2010censored data, better known as current status data. We show that applying a shared rather than a correlated frailty model to cross\u2010sectionally collected serological data on hepatitis A and B leads to biased estimates for the baseline hazard and variance parameters. Copyright \u00a9 2009 John Wiley &amp; Sons, Ltd.<\/jats:p>","DOI":"10.1002\/sim.3660","type":"journal-article","created":{"date-parts":[[2009,7,10]],"date-time":"2009-07-10T02:49:37Z","timestamp":1247194177000},"page":"2785-2800","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":28,"title":["The correlated and shared gamma frailty model for bivariate current status data: An illustration for cross\u2010sectional serological data"],"prefix":"10.1002","volume":"28","author":[{"given":"N.","family":"Hens","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"A.","family":"Wienke","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M.","family":"Aerts","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"G.","family":"Molenberghs","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2009,7,9]]},"reference":[{"key":"e_1_2_1_2_2","volume-title":"The Statistical Analysis of Interval\u2010censored Failure Time Data","author":"Sun J","year":"2005"},{"key":"e_1_2_1_3_2","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1097\u20100258(19970430)16:8<833::AID\u2010SIM538>3.0.CO;2\u20102"},{"key":"e_1_2_1_4_2","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1989.10478873"},{"key":"e_1_2_1_5_2","doi-asserted-by":"publisher","DOI":"10.2307\/2061224"},{"key":"e_1_2_1_6_2","doi-asserted-by":"publisher","DOI":"10.2307\/1914140"},{"key":"e_1_2_1_7_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4612-1304-8"},{"key":"e_1_2_1_8_2","volume-title":"Modelling Survival Data","author":"Therneau T","year":"2000"},{"key":"e_1_2_1_9_2","doi-asserted-by":"publisher","DOI":"10.1007\/978\u20100\u2010387\u201072835\u20103"},{"key":"e_1_2_1_10_2","doi-asserted-by":"publisher","DOI":"10.1111\/1467\u20109876.00233"},{"key":"e_1_2_1_11_2","doi-asserted-by":"publisher","DOI":"10.1002\/sim.1197"},{"key":"e_1_2_1_12_2","first-page":"1023","article-title":"A profile likelihood theory for the correlated gamma\u2010frailty model with current status family data","volume":"17","author":"Chang I","year":"2007","journal-title":"Statistica Sinica"},{"key":"e_1_2_1_13_2","doi-asserted-by":"publisher","DOI":"10.1002\/sim.3089"},{"key":"e_1_2_1_14_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0895-7177(99)00119-3"},{"key":"e_1_2_1_15_2","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007393405966"},{"key":"e_1_2_1_16_2","doi-asserted-by":"publisher","DOI":"10.1198\/106186006X96854"},{"key":"e_1_2_1_17_2","doi-asserted-by":"publisher","DOI":"10.1002\/sim.3153"},{"key":"e_1_2_1_18_2","doi-asserted-by":"publisher","DOI":"10.1080\/08898489509525394"},{"key":"e_1_2_1_19_2","unstructured":"IachineIA YashinAI.Identifiability of bivariate frailty models based on additive independent components. 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