Literature DB >> 15921036

Repeated looks at accumulating data: to correct or not to correct?

Ingeborg van der Tweel1.   

Abstract

Sequential analysis is a statistical way of analysing cumulative data. Its goal is to come to a decision as soon as enough evidence is reached for one or another hypothesis. In this article three different statistical approaches, the frequentist, the Bayesian and the likelihood approach, are discussed in relation to sequential analysis. In particular, the less known likelihood approach is elucidated.

Mesh:

Year:  2005        PMID: 15921036     DOI: 10.1007/s10654-005-0540-y

Source DB:  PubMed          Journal:  Eur J Epidemiol        ISSN: 0393-2990            Impact factor:   8.082


  3 in total

Review 1.  Likelihood methods for measuring statistical evidence.

Authors:  Jeffrey D Blume
Journal:  Stat Med       Date:  2002-09-15       Impact factor: 2.373

2.  Interim analysis: the alpha spending function approach.

Authors:  D L DeMets; K K Lan
Journal:  Stat Med       Date:  1994 Jul 15-30       Impact factor: 2.373

3.  A multiple testing procedure for clinical trials.

Authors:  P C O'Brien; T R Fleming
Journal:  Biometrics       Date:  1979-09       Impact factor: 2.571

  3 in total
  1 in total

1.  Neural processing of emotional-intensity predicts emotion regulation choice.

Authors:  Roni Shafir; Ravi Thiruchselvam; Gaurav Suri; James J Gross; Gal Sheppes
Journal:  Soc Cogn Affect Neurosci       Date:  2016-08-13       Impact factor: 3.436

  1 in total

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