Patricia Amurrio

Experimental Agriculture · 2016

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

Whom Patricia Amurrio trusts

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

  1. Joseph Hilbe (in Statistics and Probability)

Papers from Patricia Amurrio's perspective

Ordered by how strongly the researchers Patricia Amurrio trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Data Analysis Using Regression and Multilevel/Hierarchical Models
  2. Why We (Usually) Don't Have to Worry About Multiple Comparisons
  3. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  4. Robust Locally Weighted Regression and Smoothing Scatterplots
  5. Size, power and false discovery rates
  6. THE CONTROL OF THE FALSE DISCOVERY RATE IN MULTIPLE TESTING UNDER DEPENDENCY
  7. A weakly informative default prior distribution for logistic and other regression models
  8. Conservative prior distributions for variance parameters in hierarchical models
  9. Type S error rates for classical and Bayesian single and multiple comparison procedures (Computational statistics (Zeitschrift))
  10. MICE: Multivariate Imputation by Chained Equations in R

Their papers