Literature DB >> 32434857

Consideration of Sample Size in Neuroscience Studies.

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Abstract

Year:  2020        PMID： 32434857      PMCID： PMC7244197          DOI： 10.1523/JNEUROSCI.0866-20.2020

Source DB:  PubMed          Journal:  J Neurosci        ISSN： 0270-6474            Impact factor:   6.167


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  8 in total

Review 1.  Sample size planning for statistical power and accuracy in parameter estimation.

Authors:  Scott E Maxwell; Ken Kelley; Joseph R Rausch
Journal:  Annu Rev Psychol       Date:  2008       Impact factor: 24.137

2.  Preregistered Direct Replications in Psychological Science.

Authors:  D Stephen Lindsay
Journal:  Psychol Sci       Date:  2017-08-09

Review 3.  Power failure: why small sample size undermines the reliability of neuroscience.

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:  2013-04-10       Impact factor: 34.870

4.  Analytical Transparency and Reproducibility in Human Neuroimaging Studies.

Authors:  Marina Picciotto
Journal:  J Neurosci       Date:  2018-04-04       Impact factor: 6.167

5.  Science is not a signal detection problem.

Authors:  Brent M Wilson; Christine R Harris; John T Wixted
Journal:  Proc Natl Acad Sci U S A       Date:  2020-03-03       Impact factor: 11.205

6.  Small is beautiful: In defense of the small-N design.

Authors:  Philip L Smith; Daniel R Little
Journal:  Psychon Bull Rev       Date:  2018-12

7.  Estimation for Better Inference in Neuroscience.

Authors:  Robert J Calin-Jageman; Geoff Cumming
Journal:  eNeuro       Date:  2019-08-01

8.  Why most published research findings are false.

Authors:  John P A Ioannidis
Journal:  PLoS Med       Date:  2005-08-30       Impact factor: 11.613
  8 in total
  5 in total

1.  Questionable Research Practices, Low Statistical Power, and Other Obstacles to Replicability: Why Preclinical Neuroscience Research Would Benefit from Registered Reports.

Authors:  Randall J Ellis
Journal:  eNeuro       Date:  2022-08-03

2.  Bayesian inference of population prevalence.

Authors:  Robin Aa Ince; Angus T Paton; Jim W Kay; Philippe G Schyns
Journal:  Elife       Date:  2021-10-06       Impact factor: 8.713

3.  A Primer on Constructing Plasticity Phenotypes to Classify Experience-Dependent Development of the Visual Cortex.

Authors:  Justin L Balsor; Dezi Ahuja; David G Jones; Kathryn M Murphy
Journal:  Front Cell Neurosci       Date:  2020-08-27       Impact factor: 5.505

4.  Age-specific modulation of intermuscular beta coherence during gait before and after experimentally induced fatigue.

Authors:  Paulo Cezar Rocha Dos Santos; Claudine J C Lamoth; Fabio Augusto Barbieri; Inge Zijdewind; Lilian Teresa Bucken Gobbi; Tibor Hortobágyi
Journal:  Sci Rep       Date:  2020-09-28       Impact factor: 4.379

5.  A Systematic, Open-Science Framework for Quantification of Cell-Types in Mouse Brain Sections Using Fluorescence Microscopy.

Authors:  Juan C Sanchez-Arias; Micaël Carrier; Simona D Frederiksen; Olga Shevtsova; Chloe McKee; Emma van der Slagt; Elisa Gonçalves de Andrade; Hai Lam Nguyen; Penelope A Young; Marie-Ève Tremblay; Leigh Anne Swayne
Journal:  Front Neuroanat       Date:  2021-12-06       Impact factor: 3.856
  5 in total

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