Tutorial: survival analysis--a statistic for clinical, efficacy, and theoretical applications.
Current demands for increased research attention to therapeutic efficacy, efficiency, and also for improved developmental models call for analysis of longitudinal outcome data. Statistical treatment of longitudinal speech and language data is difficult, but there is a family of statistical techniques in common use in medicine, actuarial science, manufacturing, and sociology that has not been used in speech or language research. 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.
Gruber
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University of Wisconsin-Madison, USA. gruberfa@hal.lamar.edu
D002648:Child; D002675:Child, Preschool; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D007806:Language Disorders / Q000628:therapy*; D008137:Longitudinal Studies; D015233:Models, Statistical; D012189:Retrospective Studies; D013064:Speech Disorders / Q000628:therapy*; D018709:Statistics, Nonparametric; D013997:Time Factors; D016896:Treatment Outcome