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:
Something Out of Nothing? The Influence of Double-Zero Studies in Meta-analysis of Adverse Events in Clinical Trials (this opens in a new tab)
Zhaohu Fan, Dungang Liu, Yuekie Chen & Nanhua ZhangIntegrative Analysis of Site-Specific Parameters with Nuisance Parameters on the Common Support (this opens in a new tab)
Ho Yi Alexis Ho, Shuoxun Xu & Xinzhou GuoThe Bayesian Group-Sequential Predictive Evidence Value Design for Phase II Clinical Trials with Binary Endpoints (this opens in a new tab)
Riko Kelter & Alexander SchnurrStatistical 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 SunOn 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
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.