Article thumbnail

Towards Accurate Estimation of the Proportion of True Null Hypotheses in Multiple Testing

By Shu-Dong Zhang
Topics: Research Article
Publisher: Public Library of Science
OAI identifier:
Provided by: PubMed Central

To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.

Suggested articles


  1. (2002). A direct approach to false discovery rates.
  2. (2004). A statistical framework for the design of microarray experiments and effective detection of differential gene expression.
  3. (1995). Controlling the false discovery rate: a practical and powerful approach to multiple testing.
  4. (2004). Controlling the proportion of false positives in multiple dependent tests. Genetics 166: 611–619. Accurate Estimation of pi0
  5. (2005). Effect of pooling samples on the efficiency of comparative studies using microarrays.
  6. (2010). Estimating effect sizes in genome-wide association studies.
  7. (2003). Estimating the occurrence of false positives and false negatives in microarray studies by approximating and partitioning the empirical distribution of p-values.
  8. (2010). Estimating the proportion of equivalently expressed genes in microarray data based on transformed test statistics.
  9. (2003). Estimation of false discovery rates in multiple testing: Application to gene microarray data.
  10. (2004). Improving false discovery rate estimation.
  11. (2007). Re-sampling strategy to improve the estimation of number of null hypotheses in fdr control under strong correlation structures.
  12. (2003). Statistical significance for genomewide studies.
  13. (2004). Statistical Significance Threshold Criteria For Analysis of Microarray Gene Expression Data.