Mark R Schultz
Statistics and Probability · 2014
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
- Statistics and Probability — 7 citations into it
- Molecular Biology — 5 citations into it
Whom Mark R Schultz trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Mark R Schultz's perspective
Ordered by how strongly the researchers Mark R Schultz trusts endorse each paper. Same corpus, a different order for every researcher.
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- Statistical significance for genomewide studies (Proceedings of the National Academy of Sciences of the United States of America)
- Empirical Bayes Analysis of a Microarray Experiment
- Time for some a priori thinking about post hoc testing
- A mixture model approach for the analysis of microarray gene expression data
- Foundations of Clinical Research: Applications to Practice
- Implementing false discovery rate control: increasing your power
- Rates of major depressive disorder and clinical outcomes following traumatic brain injury (Journal of the American Medical Association (JAMA))
- THE CONTROL OF THE FALSE DISCOVERY RATE IN MULTIPLE TESTING UNDER DEPENDENCY
- An improved Bonferroni procedure for multiple tests of significance