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Inferences for the frailty parameter can be obtained by using output from Cox regression analyses. The computational burden is substantially less than that of the other approaches to estimation. The large sample behaviour of the estimator is studied and simulations show that the approximations are appropriate for use with realistic sample sizes. The methods are motivated by studies of familial associations in the natural history of diseases. Their practical utility is illustrated with sib pair data from Beaver Dam, Wisconsin.<\/jats:p>","DOI":"10.1111\/1467-9868.00388","type":"journal-article","created":{"date-parts":[[2003,3,12]],"date-time":"2003-03-12T19:37:44Z","timestamp":1047497864000},"page":"317-329","source":"Crossref","is-referenced-by-count":27,"title":["A Simple Estimator for a Shared Frailty Regression Model"],"prefix":"10.1093","volume":"65","author":[{"given":"Jason P.","family":"Fine","sequence":"first","affiliation":[{"name":"University of Wisconsin , Madison , USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David V.","family":"Glidden","sequence":"additional","affiliation":[{"name":"University of California , San Francisco , USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kristine E.","family":"Lee","sequence":"additional","affiliation":[{"name":"University of Wisconsin , Madison , USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2003,1,28]]},"reference":[{"key":"2023040803082640200_","doi-asserted-by":"crossref","first-page":"1100","DOI":"10.1214\/aos\/1176345976","article-title":"Cox's regression model for counting processes: a large sample study","volume":"10","author":"Andersen","year":"1982","journal-title":"Ann. 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