Literature DB >> 20051976

Statistics in experimental cerebrovascular research-comparison of two groups with a continuous outcome variable.

Peter Schlattmann1, Ulrich Dirnagl.   

Abstract

Part one of this mini-series on statistics in cerebrovascular research uses the simplest yet most common comparison in experimental research (two groups with a continuous outcome variable) to introduce the very basic concepts of statistical testing: a priori formulation of hypotheses and definition of planned statistical analysis, error considerations, and power analysis.

Mesh：

Year:  2010        PMID： 20051976      PMCID： PMC2949139          DOI： 10.1038/jcbfm.2009.266

Source DB:  PubMed          Journal:  J Cereb Blood Flow Metab        ISSN： 0271-678X            Impact factor:   6.200


  9 in total

1.  Toward evidence-based medical statistics. 1: The P value fallacy.

Authors:  S N Goodman
Journal:  Ann Intern Med       Date:  1999-06-15       Impact factor: 25.391

2.  Guidelines for the design and statistical analysis of experiments using laboratory animals.

Authors:  Michael F W Festing; Douglas G Altman
Journal:  ILAR J       Date:  2002

Review 3.  Standard deviations and standard errors.

Authors:  Douglas G Altman; J Martin Bland
Journal:  BMJ       Date:  2005-10-15

Review 4.  Size of treatment effects and their importance to clinical research and practice.

Authors:  Helena Chmura Kraemer; David J Kupfer
Journal:  Biol Psychiatry       Date:  2005-12-20       Impact factor: 13.382

Review 5.  Bench to bedside: the quest for quality in experimental stroke research.

Authors:  Ulrich Dirnagl
Journal:  J Cereb Blood Flow Metab       Date:  2006-03-08       Impact factor: 6.200

6.  Empirical evidence of bias in the design of experimental stroke studies: a metaepidemiologic approach.

Authors:  Nicolas A Crossley; Emily Sena; Jos Goehler; Jannekke Horn; Bart van der Worp; Philip M W Bath; Malcolm Macleod; Ulrich Dirnagl
Journal:  Stroke       Date:  2008-01-31       Impact factor: 7.914

7.  G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences.

Authors:  Franz Faul; Edgar Erdfelder; Albert-Georg Lang; Axel Buchner
Journal:  Behav Res Methods       Date:  2007-05

Review 8.  Reprint: Good laboratory practice: preventing introduction of bias at the bench.

Authors:  Malcolm R Macleod; Marc Fisher; Victoria O'Collins; Emily S Sena; Ulrich Dirnagl; Philip M W Bath; Alastair Buchan; Alistair Buchan; H Bart van der Worp; Richard J Traystman; Kazuo Minematsu; Geoffrey A Donnan; David W Howells
Journal:  J Cereb Blood Flow Metab       Date:  2008-09-17       Impact factor: 6.200

9.  Evidence for the efficacy of NXY-059 in experimental focal cerebral ischaemia is confounded by study quality.

Authors:  Malcolm R Macleod; H Bart van der Worp; Emily S Sena; David W Howells; Ulrich Dirnagl; Geoffrey A Donnan
Journal:  Stroke       Date:  2008-07-17       Impact factor: 7.914
  9 in total
  5 in total

Review 1.  Statistics in experimental cerebrovascular research: comparison of more than two groups with a continuous outcome variable.

Authors:  Peter Schlattmann; Ulrich Dirnagl
Journal:  J Cereb Blood Flow Metab       Date:  2010-06-23       Impact factor: 6.200

2.  Improving the quality of biomedical research: guidelines for reporting experiments involving animals.

Authors:  Ulrich Dirnagl; Martin Lauritzen
Journal:  J Cereb Blood Flow Metab       Date:  2011-01-05       Impact factor: 6.200

3.  Method parameters' impact on mortality and variability in rat stroke experiments: a meta-analysis.

Authors:  Jakob O Ström; Edvin Ingberg; Annette Theodorsson; Elvar Theodorsson
Journal:  BMC Neurosci       Date:  2013-04-01       Impact factor: 3.288

4.  Systematic survey of the design, statistical analysis, and reporting of studies published in the 2008 volume of the Journal of Cerebral Blood Flow and Metabolism.

Authors:  Hanna M Vesterinen; Hanna V Vesterinen; Kieren Egan; Amelie Deister; Peter Schlattmann; Malcolm R Macleod; Ulrich Dirnagl
Journal:  J Cereb Blood Flow Metab       Date:  2010-12-15       Impact factor: 6.200

5.  Method parameters' impact on mortality and variability in mouse stroke experiments: a meta-analysis.

Authors:  Edvin Ingberg; Hua Dock; Elvar Theodorsson; Annette Theodorsson; Jakob O Ström
Journal:  Sci Rep       Date:  2016-02-15       Impact factor: 4.379
  5 in total

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