Abstract #300726

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JSM 2003 Abstract #300726
Activity Number: 276
Type: Invited
Date/Time: Tuesday, August 5, 2003 : 2:00 PM to 3:50 PM
Sponsor: Section on Teaching of Statistics in the Health Sciences
Abstract - #300726
Title: Resampling Methods: Not Just for Statisticians Anymore
Author(s): W. Robert Stephenson*+ and William M. Duckworth
Companies: Iowa State University and Iowa State University
Address: 327 Snedecor Hall, Ames, IA, 50011-1210,
Keywords: bootstrap ; jackknife ; teaching statistics ; health sciences
Abstract:

Resampling methods in statistics have been around for a long time. Forty years ago Tukey (1962) coined the term jackknife to describe a technique, attributed to Quenouille, that could be used to reduce bias and obtain approximate confidence intervals. About 15 years later, Efron (1979) introduced the "bootstrap" as a general method for estimating the sampling distribution of a statistic based on the observed data. Today the jackknife and the bootstrap, and other resampling methods, are common tools for the professional statistician. In spite of their usefulness, these methods have not gained acceptance in standard statistics courses except at the graduate level. Resampling methods can be made accessible to students at virtually every level. This paper will look at introducing resampling methods into statistics courses for health care professionals. We will present examples of course work that could be included in such courses. These examples will include motivation for resampling methods. Health care data will be used to illustrate the methods. We will also discuss what health care professionals should know about resampling methods when reading the current literature.

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