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Survival analysis is introduced as a method that avoids many of the statistical problems of other techniques because it treats time as the outcome. In survival analysis, probabilities are calculated not just for groups but also for individuals in a group. This is a major advantage for clinical work. This paper provides a basic introduction to nonparametric and semiparametric survival analysis using speech outcomes as examples. A brief discussion of potential conflicts between actuarial analysis and clinical intuition is also provided.<\/jats:p>","DOI":"10.1044\/jslhr.4202.432","type":"journal-article","created":{"date-parts":[[2014,7,29]],"date-time":"2014-07-29T21:09:12Z","timestamp":1406668152000},"page":"432-447","source":"Crossref","is-referenced-by-count":6,"title":["Tutorial"],"prefix":"10.1044","volume":"42","author":[{"given":"Frederic A.","family":"Gruber","sequence":"first","affiliation":[{"name":"University of Wisconsin-Madison"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1310","reference":[{"key":"e_1_3_2_2_1","doi-asserted-by":"crossref","first-page":"701","DOI":"10.1214\/aos\/1176344247","article-title":"Nonparametric inference for a family of counting processes","volume":"6","author":"Aalen O. 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