Literature DB >> 10797513

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

J Carpenter1, J Bithell.   

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.

Mesh:

Year:  2000        PMID: 10797513     DOI: 10.1002/(sici)1097-0258(20000515)19:9<1141::aid-sim479>3.0.co;2-f

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  386 in total

1.  Estimating the prevalence of mental and somatic disorders in the community: aims and methods of the German National Health Interview and Examination Survey.

Authors:  Frank Jacobi; Hans-Ulrich Wittchen; Christoph Hölting; Sieghard Sommer; Roselind Lieb; Michael Höfler; Hildegard Pfister
Journal:  Int J Methods Psychiatr Res       Date:  2002       Impact factor: 4.035

2.  Predicting cardiac arrest on the wards: a nested case-control study.

Authors:  Matthew M Churpek; Trevor C Yuen; Michael T Huber; Seo Young Park; Jesse B Hall; Dana P Edelson
Journal:  Chest       Date:  2011-11-03       Impact factor: 9.410

3.  Reporting recommendations for tumor marker prognostic studies (REMARK): explanation and elaboration.

Authors:  Douglas G Altman; Lisa M McShane; Willi Sauerbrei; Sheila E Taube
Journal:  BMC Med       Date:  2012-05-29       Impact factor: 8.775

4.  Reporting Recommendations for Tumor Marker Prognostic Studies (REMARK): explanation and elaboration.

Authors:  Douglas G Altman; Lisa M McShane; Willi Sauerbrei; Sheila E Taube
Journal:  PLoS Med       Date:  2012-05-29       Impact factor: 11.069

5.  Resampling approach for determination of the method for reference interval calculation in clinical laboratory practice.

Authors:  Igor Y Pavlov; Andrew R Wilson; Julio C Delgado
Journal:  Clin Vaccine Immunol       Date:  2010-06-16

6.  Computerized method for evaluating diagnostic image quality of calcified plaque images in cardiac CT: validation on a physical dynamic cardiac phantom.

Authors:  Martin King; Zachary Rodgers; Maryellen L Giger; Dianna M E Bardo; Amit R Patel
Journal:  Med Phys       Date:  2010-11       Impact factor: 4.071

7.  White and gray matter damage in primary progressive MS: The chicken or the egg?

Authors:  Benedetta Bodini; Declan Chard; Daniel R Altmann; Daniel Tozer; David H Miller; Alan J Thompson; Claudia Wheeler-Kingshott; Olga Ciccarelli
Journal:  Neurology       Date:  2015-12-16       Impact factor: 9.910

8.  Challenges in Predicting Recurrence After Resection of Node-Negative Non-Small Cell Lung Cancer.

Authors:  Lucas W Thornblade; Michael S Mulligan; Katherine Odem-Davis; Billanna Hwang; Rachel L Waworuntu; Erika M Wolff; Larry Kessler; Douglas E Wood; Farhood Farjah
Journal:  Ann Thorac Surg       Date:  2018-07-19       Impact factor: 4.330

9.  Evaluation of weight change and hypoglycaemia as mediators in the association between insulin use and death.

Authors:  Jea Young Min; Amber J Hackstadt; Marie R Griffin; Robert A Greevy; Jonathan Chipman; Carlos G Grijalva; Adriana M Hung; Christianne L Roumie
Journal:  Diabetes Obes Metab       Date:  2019-08-29       Impact factor: 6.577

10.  Applying an Instance-specific Model to Longitudinal Clinical Data for Prediction.

Authors:  Emily Watt; James W Sayre; Alex A T Bui
Journal:  Proc IEEE Int Conf Healthc Inform Imaging Syst Biol       Date:  2011-10-27
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