On estimating the proportion of true null hypotheses for false discovery rate controlling procedures in exploratory DNA microarray studies

2004 ◽  
Vol 47 (3) ◽  
pp. 611-637 ◽  
Author(s):  
Danh V. Nguyen
Keyword(s):  
False Discovery Rate ◽  
Dna Microarray ◽  
False Discovery ◽  
True Null Hypotheses ◽  
Microarray Studies

scholarly journals Bias in the estimation of false discovery rate in microarray studies

2005 ◽  
Vol 21 (20) ◽  
pp. 3865-3872 ◽  
Author(s):  
Y. Pawitan ◽  
K. R. K. Murthy ◽  
S. Michiels ◽  
A. Ploner
Keyword(s):  
False Discovery Rate ◽  
False Discovery ◽  
Microarray Studies

scholarly journals Biostatistics for Multiple Testing

2020 ◽  
Vol 63 (3) ◽  
pp. 97-100
Author(s):  
Jeong-Seok Choi
Keyword(s):  
False Discovery Rate ◽  
Error Rate ◽  
Null Hypothesis ◽  
Multiple Testing ◽  
Statistical Techniques ◽  
Testing Hypotheses ◽  
Family Wise Error Rate ◽  
False Discovery ◽  
The Family ◽  
True Null Hypotheses

Multiple testings are instances that contain simultaneous tests for more than one hypothesis. When multiple testings are conducted at the same time, it is more likely that the null hypothesis is rejected, even if the null hypothesis is correct. If individual hypothesis decisions are based on unadjusted <i>p</i>-values, it is usually more likely that some of the true null hypotheses will be rejected. In order to solve the multiple testing problems, various studies have attempted to increase the power by taking into account the family-wise error rate or false discovery rate and statistics required for testing hypotheses. This article discuss methods that account for the multiplicity issue and introduces various statistical techniques.

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
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