Literature DB >> 19137059

Simultaneous Confidence Intervals Based on the Percentile Bootstrap Approach.

Micha Mandel1, Rebecca A Betensky.   

Abstract

This note concerns the construction of bootstrap simultaneous confidence intervals (SCI) for m parameters. Given B bootstrap samples, we suggest an algorithm with complexity of O(mB log(B)). We apply our algorithm to construct a confidence region for time dependent probabilities of progression in multiple sclerosis and for coefficients in a logistic regression analysis. Alternative normal based simultaneous confidence intervals are presented and compared to the bootstrap intervals.

Entities:  

Year:  2008        PMID： 19137059      PMCID： PMC2440720          DOI： 10.1016/j.csda.2007.07.005

Source DB:  PubMed          Journal:  Comput Stat Data Anal        ISSN： 0167-9473            Impact factor:   1.681


  5 in total

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3.  Estimating Time to Event From Longitudinal Categorical Data: An Analysis of Multiple Sclerosis Progression.

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Journal:  J Am Stat Assoc       Date:  2007-12       Impact factor: 5.033

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Authors:  S A Gauthier; M Mandel; C R G Guttmann; B I Glanz; S J Khoury; R A Betensky; H L Weiner
Journal:  Neurology       Date:  2007-06-12       Impact factor: 9.910
  5 in total
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8.  The focus on sample quality: Influence of colon tissue collection on reliability of qPCR data.

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  8 in total

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