Literature DB >> 23587691

Ironing out the statistical wrinkles in "ten ironic rules".

Martin A Lindquist1, Brian Caffo2, Ciprian Crainiceanu2.   

Abstract

The article "Ten ironic rules for non-statistical reviewers" (Friston, 2012) shares some commonly heard frustrations about the peer-review process that all researchers can identify with. Though we found the article amusing, we have some concerns about its description of a number of statistical issues. In this commentary we address these issues, as well as the premise of the article.
Copyright © 2013 Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23587691      PMCID: PMC3730443          DOI: 10.1016/j.neuroimage.2013.02.056

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  4 in total

Review 1.  Ten ironic rules for non-statistical reviewers.

Authors:  Karl Friston
Journal:  Neuroimage       Date:  2012-04-13       Impact factor: 6.556

Review 2.  Everything you never wanted to know about circular analysis, but were afraid to ask.

Authors:  Nikolaus Kriegeskorte; Martin A Lindquist; Thomas E Nichols; Russell A Poldrack; Edward Vul
Journal:  J Cereb Blood Flow Metab       Date:  2010-06-23       Impact factor: 6.200

3.  Correlations and Multiple Comparisons in Functional Imaging: A Statistical Perspective (Commentary on Vul et al., 2009).

Authors:  Martin A Lindquist; Andrew Gelman
Journal:  Perspect Psychol Sci       Date:  2009-05

4.  Cooperation between referees and authors increases peer review accuracy.

Authors:  Jeffrey T Leek; Margaret A Taub; Fernando J Pineda
Journal:  PLoS One       Date:  2011-11-09       Impact factor: 3.240

  4 in total
  21 in total

1.  Confidence and precision increase with high statistical power.

Authors:  Katherine S Button; John P A Ioannidis; Claire Mokrysz; Brian A Nosek; Jonathan Flint; Emma S J Robinson; Marcus R Munafò
Journal:  Nat Rev Neurosci       Date:  2013-07-03       Impact factor: 34.870

2.  Cross-validation and hypothesis testing in neuroimaging: An irenic comment on the exchange between Friston and Lindquist et al.

Authors:  Philip T Reiss
Journal:  Neuroimage       Date:  2015-04-25       Impact factor: 6.556

3.  The reliability paradox: Why robust cognitive tasks do not produce reliable individual differences.

Authors:  Craig Hedge; Georgina Powell; Petroc Sumner
Journal:  Behav Res Methods       Date:  2018-06

Review 4.  Neuroimaging of individual differences: A latent variable modeling perspective.

Authors:  Shelly R Cooper; Joshua J Jackson; Deanna M Barch; Todd S Braver
Journal:  Neurosci Biobehav Rev       Date:  2019-01-03       Impact factor: 8.989

5.  Autosomal Dominantly Inherited Alzheimer Disease: Analysis of genetic subgroups by Machine Learning.

Authors:  Diego Castillo-Barnes; Li Su; Javier Ramírez; Diego Salas-Gonzalez; Francisco J Martinez-Murcia; Ignacio A Illan; Fermin Segovia; Andres Ortiz; Carlos Cruchaga; Martin R Farlow; Chengjie Xiong; Neil R Graff-Radford; Peter R Schofield; Colin L Masters; Stephen Salloway; Mathias Jucker; Hiroshi Mori; Johannes Levin; Juan M Gorriz
Journal:  Inf Fusion       Date:  2020-01-07       Impact factor: 12.975

6.  Multimodal predictive modeling of individual treatment outcome in cocaine dependence with combined neuroimaging and behavioral predictors.

Authors:  Sean X Luo; Diana Martinez; Kenneth M Carpenter; Mark Slifstein; Edward V Nunes
Journal:  Drug Alcohol Depend       Date:  2014-07-10       Impact factor: 4.492

Review 7.  Attempted and successful compensation in preclinical and early manifest neurodegeneration - a review of task FMRI studies.

Authors:  Elisa Scheller; Lora Minkova; Mathias Leitner; Stefan Klöppel
Journal:  Front Psychiatry       Date:  2014-09-29       Impact factor: 4.157

8.  Potential reporting bias in fMRI studies of the brain.

Authors:  Sean P David; Jennifer J Ware; Isabella M Chu; Pooja D Loftus; Paolo Fusar-Poli; Joaquim Radua; Marcus R Munafò; John P A Ioannidis
Journal:  PLoS One       Date:  2013-07-25       Impact factor: 3.240

9.  Two distinct dynamic modes subtend the detection of unexpected sounds.

Authors:  Jean-Rémi King; Alexandre Gramfort; Aaron Schurger; Lionel Naccache; Stanislas Dehaene
Journal:  PLoS One       Date:  2014-01-27       Impact factor: 3.240

10.  Attention shifts the language network reflecting paradigm presentation.

Authors:  Kathrin Kollndorfer; Julia Furtner; Jacqueline Krajnik; Daniela Prayer; Veronika Schöpf
Journal:  Front Hum Neurosci       Date:  2013-11-25       Impact factor: 3.169

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