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HERO ID
2316628
Reference Type
Journal Article
Title
Bootstrap confidence intervals: when, which, what? A practical guide for medical statisticians
Author(s)
Carpenter, J; Bithell, J
Year
2000
Is Peer Reviewed?
1
Journal
Statistics in Medicine
ISSN:
0277-6715
EISSN:
1097-0258
Volume
19
Issue
9
Page Numbers
1141-1164
Language
English
DOI
10.1002/(SICI)1097-0258(20000515)19:9<1141::AID-SIM479>3.0.CO;2-F
URL
http://www.tau.ac.il/~saharon/Boot/10.1.1.133.8405.pdf
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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. (C) 2000 John Wiley and Sons, Ltd.
Keywords
algorithm; article; computer program; practice guideline; statistical analysis; statistical model; survival; Algorithms; Birth Weight; Computer Simulation; Confidence Intervals; Drug Therapy; Humans; Infant; Infant, Newborn; Leukemia, Myelocytic, Acute; Models, Biological; Proportional Hazards Models; Randomized Controlled Trials; Recurrence; Remission Induction
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