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Unfortunately, regulatory, privacy, and propriety concerns made sharing of raw data impossible, even if de\u2010identified. Therefore, this article describes an approach to extraction and analysis of aggregate time\u2010to\u2010event data from ICOR. Data extraction is based on obtaining a survival probability and variance estimate for each unique combination of the explanatory variables at each distinct event time for each registry. The extraction procedure allows for a great deal of flexibility; models can be specified after the data have been collected, for example, modeling of interaction effects and selection of subgroups of patients based on their values on the explanatory variables. Our analysis models are adapted from models presented elsewhere \u2013 but allowing for censoring in the calculation of the correlation between serial survival probabilities and using the square root of the covariance matrix to transform the data to avoid computational problems in model estimation. Simulations and a real\u2010data example are provided with strengths and limitations of the approach discussed. Copyright \u00a9 2015 John Wiley &amp; Sons, Ltd.<\/jats:p>","DOI":"10.1002\/jrsm.1159","type":"journal-article","created":{"date-parts":[[2015,6,29]],"date-time":"2015-06-29T23:28:56Z","timestamp":1435620536000},"page":"347-356","source":"Crossref","is-referenced-by-count":11,"title":["Meta\u2010analysis of survival curve data using distributed health data networks: application to hip arthroplasty studies of the International Consortium of Orthopaedic Registries"],"prefix":"10.1002","volume":"6","author":[{"given":"Guy","family":"Cafri","sequence":"first","affiliation":[{"name":"Surgical Outcomes and Analysis Kaiser Permanente  Oakland CA USA"},{"name":"Department of Psychiatry UCSD  San Diego CA USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Samprit","family":"Banerjee","sequence":"additional","affiliation":[{"name":"Department of Healthcare Policy and Research Weill Cornell Medical College  New York NY USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Art","family":"Sedrakyan","sequence":"additional","affiliation":[{"name":"Department of Healthcare Policy and Research Weill Cornell Medical College  New York NY USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liz","family":"Paxton","sequence":"additional","affiliation":[{"name":"Surgical Outcomes and Analysis Kaiser Permanente  Oakland CA USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ove","family":"Furnes","sequence":"additional","affiliation":[{"name":"The Norwegian Arthroplasty Register, Department of Orthopaedic Surgery Haukeland University Hospital  Bergen Norway"},{"name":"Department of Surgical Sciences University of Bergen  Bergen Norway"},{"name":"Locus of Registry Based Epidemiology, Faculty of Medicine University of Bergen  Bergen Norway"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stephen","family":"Graves","sequence":"additional","affiliation":[{"name":"Australian Orthopaedic Association National Joint Replacement Registry  Adelaide Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Danica","family":"Marinac\u2010Dabic","sequence":"additional","affiliation":[{"name":"Office of Surveillance and Biometrics, Center for Device and Radiological Health FDA  Silver Spring MD USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2015,6,29]]},"reference":[{"key":"e_1_2_7_2_1","first-page":"141","article-title":"An empirical transition matrix for nonhomogeneous markov chains based on censored observations","volume":"5","author":"Aalen OO","year":"1978","journal-title":"Scandanavian Journal of Statistics"},{"key":"e_1_2_7_3_1","doi-asserted-by":"publisher","DOI":"10.4135\/9781412993869"},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.1002\/sim.3311"},{"volume-title":"Annual Report","year":"2010","author":"Australian Orthopaedic Association National Joint Replacement Registry (AOANJRR)","key":"e_1_2_7_5_1"},{"key":"e_1_2_7_6_1","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1097-0258(19981130)17:22<2537::AID-SIM953>3.0.CO;2-C"},{"key":"e_1_2_7_7_1","doi-asserted-by":"publisher","DOI":"10.1002\/9780470743386"},{"key":"e_1_2_7_8_1","doi-asserted-by":"publisher","DOI":"10.1097\/MLR.0b013e3181d9919f"},{"key":"e_1_2_7_9_1","unstructured":"Center for Devices and Radiological Health U.S. Food and Drug Administration (FDA).2012.Strengthening Our National System for Medical Device Postmarket Surveillance. 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