scholarly journals False discovery rate, sensitivity and sample size for microarray studies

2005 ◽  
Vol 21 (13) ◽  
pp. 3017-3024 ◽  
Author(s):  
Y. Pawitan ◽  
S. Michiels ◽  
S. Koscielny ◽  
A. Gusnanto ◽  
A. Ploner
Keyword(s):  
Sample Size ◽  
False Discovery Rate ◽  
Rate Sensitivity ◽  
False Discovery ◽  
Microarray Studies

Evaluation of false discovery rate and power via sample size in microarray studies

2012 ◽  
Vol 39 (3) ◽  
pp. 489-500
Author(s):  
Jie Song ◽  
Herman W. Raadsma ◽  
Peter C. Thomson
Keyword(s):  
Sample Size ◽  
False Discovery Rate ◽  
False Discovery ◽  
Microarray Studies

scholarly journals Sample size reassessment for a two-stage design controlling the false discovery rate

2015 ◽  
Vol 14 (5) ◽  
Author(s):  
Sonja Zehetmayer ◽  
Alexandra C. Graf ◽  
Martin Posch
Keyword(s):  
Sample Size ◽  
False Discovery Rate ◽  
Effect Sizes ◽  
Rna Seq ◽  
Two Stage ◽  
Stage Design ◽  
False Discovery ◽  
Sample Size Calculations ◽  
Two Stage Design ◽  
High Uncertainty

AbstractSample size calculations for gene expression microarray and NGS-RNA-Seq experiments are challenging because the overall power depends on unknown quantities as the proportion of true null hypotheses and the distribution of the effect sizes under the alternative. We propose a two-stage design with an adaptive interim analysis where these quantities are estimated from the interim data. The second stage sample size is chosen based on these estimates to achieve a specific overall power. The proposed procedure controls the power in all considered scenarios except for very low first stage sample sizes. The false discovery rate (FDR) is controlled despite of the data dependent choice of sample size. The two-stage design can be a useful tool to determine the sample size of high-dimensional studies if in the planning phase there is high uncertainty regarding the expected effect sizes and variability.

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