eLife

Latest preprint reviews

1. We couldn't get details of this article at this time:
   10.1101/2023.11.17.567638

2. We couldn't get details of this article at this time:
   10.1101/2023.11.23.568442

3. We couldn't get details of this article at this time:
   10.1101/2023.11.20.567798

4. Insights in neuronal tuning: Navigating the statistical challenges of autocorrelation and missing variables

   This article has 2 authors:

   1. Fredrik Nevjen
   2. Benjamin Adric Dunn

   This article has been curated by 1 group:

   • Curated by eLife

     eLife assessment

     This study presents important new insights into how best to address common problems encountered in the statistical analysis of neural data, including those related to temporal autocorrelations and unknown variables. The authors show that certain approaches, including those using cross-validation and permutation tests, are better than others at controlling error rates, particularly false negatives. At present, the evidence presented is incomplete, including a lack of more rigorous theoretical justifications for the differences observed between the different approaches tested and a focus on p-values without considering effect sizes, but could be improved with substantial revisions that address these issues.

   Reviewed by eLife

5. Automating an insect biodiversity metric using distributed optical sensors: an evaluation across Kansas, USA cropping systems

   This article has 14 authors:

   1. Klas Rydhmer
   2. James O Eckberg
   3. Jonathan G Lundgren
   4. Samuel Jansson
   5. Laurence Still
   6. John E Quinn
   7. Ralph Washington
   8. Jesper Lemmich
   9. Thomas Nikolajsen
   10. Nikolaj Sheller
   11. Alex M Michels
   12. Michael M Bredeson
   13. Steven T Rosenzweig
   14. Emily N Bick

   This article has been curated by 1 group:

   • Curated by eLife

     eLife Assessment

     The authors propose a new methodology to survey insects, using new sensors and analytical capabilities that could be valuable for addressing urgent conservation challenges. While the results of the optical sensors appear to be comparable to those obtained with classical survey methodologies, current analyses are considered incomplete.

   Reviewed by eLife

6. We couldn't get details of this article at this time:
   10.1101/2023.10.12.562049

7. We couldn't get details of this article at this time:
   10.1101/2023.09.01.555799

8. We couldn't get details of this article at this time:
   10.1101/2023.10.18.562852

9. We couldn't get details of this article at this time:
   10.1101/2023.04.16.537028

10. We couldn't get details of this article at this time:
    10.1101/2023.08.14.553226