Statistics articles within Nature Materials

Featured

• Comment | 26 November 2018

  Avoiding common pitfalls in machine learning omic data science

  This Comment describes some of the common pitfalls encountered in deriving and validating predictive statistical models from high-dimensional data. It offers a fresh perspective on some key statistical issues, providing some guidelines to avoid pitfalls, and to help unfamiliar readers better assess the reliability and significance of their results.

  • Andrew E. Teschendorff

• Editorial | 23 January 2015

  Introducing editorial changes

  This year we will offer the option of double-blind peer review and introduce a reproducibility checklist for life sciences articles that helps authors adhere to data-reporting standards.