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

      Statistics in Medicine

      Algorithms, Secondary Prevention, Remission Induction, Randomized Controlled Trials as Topic, Proportional Hazards Models, Models, Biological, drug therapy, Leukemia, Myeloid, Acute, growth & development, Infant, Newborn, Infant, Humans, statistics & numerical data, Drug Therapy, Confidence Intervals, Computer Simulation, Birth Weight

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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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          Most cited references 15

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          An Introduction to the Bootstrap

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            The Jackknife, the Bootstrap and Other Resampling Plans

             Bradley Efron (1982)
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              Linear Statistical Inference and its Applications

               C. Rao (1973)
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                Author and article information

                Journal
                10797513

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