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      Bootstrap confidence intervals: when, which, what? A practical guide for medical statisticians

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      Statistics in Medicine
      Wiley

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          Abstract

          Since the early 1980s, a bewildering array of methods for constructing bootstrap confidence intervals have been proposed. In this article, we address the following questions. First, when should bootstrap confidence intervals be used. Secondly, which method should be chosen, and thirdly, how should it be implemented. In order to do this, we review the common algorithms for resampling and methods for constructing bootstrap confidence intervals, together with some less well known ones, highlighting their strengths and weaknesses. We then present a simulation study, a flow chart for choosing an appropriate method and a survival analysis example. Copyright 2000 John Wiley & Sons, Ltd.

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          Author and article information

          Journal
          Statistics in Medicine
          Statist. Med.
          Wiley
          0277-6715
          1097-0258
          May 15 2000
          May 15 2000
          : 19
          : 9
          : 1141-1164
          Article
          10.1002/(SICI)1097-0258(20000515)19:9<1141::AID-SIM479>3.0.CO;2-F
          10797513
          3369c888-1c09-46a1-ab92-56f1d9254861
          © 2000

          http://doi.wiley.com/10.1002/tdm_license_1.1

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