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A cure model has two components: incidence which indicates whether the event could eventually occur and latency which denotes when the event will occur given the subject is susceptible to the event. In this paper, we propose a semi\u2010parametric cure model in which covariates can affect both the incidence and the latency. A logistic regression model is proposed for the incidence, and the latency is determined by an accelerated failure time regression model with unspecified error distribution. An EM algorithm is developed to fit the model. The procedure is applied to a data set of tonsil cancer patients treated with radiation therapy. Copyright \u00a9 2002 John Wiley &amp; Sons, Ltd.<\/jats:p>","DOI":"10.1002\/sim.1260","type":"journal-article","created":{"date-parts":[[2002,10,10]],"date-time":"2002-10-10T13:30:15Z","timestamp":1034256615000},"page":"3235-3247","source":"Crossref","is-referenced-by-count":94,"title":["A semi\u2010parametric accelerated failure time cure model"],"prefix":"10.1002","volume":"21","author":[{"given":"Chin\u2010Shang","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jeremy M. 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