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

@article{Carpenter2000, 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 {\copyright} 2000 John Wiley \& Sons, Ltd.}, address = {Medical Statistics Unit, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, U.K.; Department of Statistics, 1 South Parks Road, Oxford, OX1 3TG, U.K.}, author = {Carpenter, James and Bithell, John}, citeulike-article-id = {4115728}, citeulike-linkout-0 = {http://dx.doi.org/10.1002/(SICI)1097-0258(20000515)19:9%3C1141::AID-SIM479%3E3.0.CO;2-F}, citeulike-linkout-1 = {http://www3.interscience.wiley.com/cgi-bin/abstract/72001167/ABSTRACT}, doi = {10.1002/(SICI)1097-0258(20000515)19:9%3C1141::AID-SIM479%3E3.0.CO;2-F}, journal = {Statistics in Medicine}, keywords = {data\_analysis}, number = {9}, pages = {1141--1164}, posted-at = {2009-04-13 14:06:10}, priority = {5}, title = {Bootstrap confidence intervals: when, which, what? A practical guide for medical statisticians}, url = {http://dx.doi.org/10.1002/(SICI)1097-0258(20000515)19:9%3C1141::AID-SIM479%3E3.0.CO;2-F}, volume = {19}, year = {2000} }

TY - JOUR ID - Carpenter2000 L3 - citeulike-article-id:4115728 N2 - 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. IS - 9 JF - Statistics in Medicine AD - Medical Statistics Unit, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, U.K.; Department of Statistics, 1 South Parks Road, Oxford, OX1 3TG, U.K. EP - 1164 TI - Bootstrap confidence intervals: when, which, what? A practical guide for medical statisticians VL - 19 SP - 1141 KW - data_analysis AU - Carpenter, James AU - Bithell, John PY - 2000/// UR - http://dx.doi.org/10.1002/(SICI)1097-0258(20000515)19:9%3C1141::AID-SIM479%3E3.0.CO;2-F ER -