Chun-Chuan Chen

Statistics and Probability · 2023

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chun-Chuan Chen trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Karl J. Friston
  2. Thomas Schäfer

Papers from Chun-Chuan Chen's perspective

Ordered by how strongly the researchers Chun-Chuan Chen trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Power failure: why small sample size undermines the reliability of neuroscience (Nature Reviews Neuroscience)
  2. The Meaningfulness of Effect Sizes in Psychological Research: Differences Between Sub-Disciplines and the Impact of Potential Biases (Frontiers in Psychology)
  3. Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and ANOVAs (Frontiers in Psychology)
  4. The secret lives of experiments: Methods reporting in the fMRI literature (NeuroImage)
  5. Submodularity in Data Subset Selection and Active Learning
  6. Small sample sizes reduce the replicability of task-based fMRI studies (Communications Biology)
  7. The impact of the MIT-BIH Arrhythmia Database (IEEE Engineering in Medicine and Biology Magazine)
  8. Machine Learning in Medicine (Mach. Learn. under Resour. Constraints Vol. 3)
  9. No Free Lunch Theorem: A Review (Approximation and Optimization)
  10. The effect of machine learning regression algorithms and sample size on individualized behavioral prediction with functional connectivity features (NeuroImage)

Their papers