Statistics in Biosciences - Open Access Articles

Statistics in Biosciences publishes open access articles that are freely available online. Recent open access articles in the journal include:

• Statistical Learning of Large-Scale Genetic Data: How to Run a Genome-Wide Association Study of Gene-Expression Data Using the 1000 Genomes Project Data (this opens in a new tab)
  Anton Sugolov, Eric Emmenegger, Andrew D. Paterson & Lei Sun

• On Estimation of the Effect Lag of Predictors and Prediction in a Functional Linear Model (this opens in a new tab)
  Haiyan Liu, Georgios Aivaliotis, Vijay Kumar & Jeanine Houwing-Duistermaat

• Bivariate Analysis by Birth Weight and Gestational Age by Bayesian Distributional Regression with Copulas
  Jonathan Rathjens, Arthur Kolbe, Jürgen Hölzer, Katja Ickstadt & Nadja Klein

• Building an Enhanced Publication Ecosystem for Statistical Innovation (this opens in a new tab)
  Hongkai Ji

• A Comparison of Statistical Methods for Studying Interactions of Chemical Mixtures
  Debamita Kundu, Sungduk Kim, Mary H. Ward & Paul S. Albert
  
  View All Open Access Articles in Statistics in Biosciences (this opens in a new tab)

If you are interested in publishing an open access article in Statistics in Biosciences, learn more about Springer's Open Choice (this opens in a new tab) program and also Springer's Compact Agreements (this opens in a new tab) with participating countries and institutions that cover open access costs for authors.