Assessing Significance in High-Throughput Experiments by Sequential Goodness of Fit and q-Value Estimation
2011
New Method for Multiple Hypothesis Testing
Sample size: 20
publication
Evidence: moderate
Author Information
Author(s): Antonio Carvajal-Rodriguez, Jacobo de Uña-Alvarez
Primary Institution: Universidad de Vigo
Hypothesis
Can the new SGoF+ method improve statistical power in multiple hypothesis testing?
Conclusion
The SGoF+ method shows improved statistical power compared to previous methods while controlling false discovery rates.
Supporting Evidence
- SGoF+ automatically sets the threshold for maximum power and minimum false non-discovery rate.
- Simulations showed that SGoF+ outperforms the original SGoF method.
- The method was tested on a dataset from a protein expression experiment.
Takeaway
This study created a new way to test many hypotheses at once, helping scientists find real effects without making too many mistakes.
Methodology
The study developed the SGoF+ method, a modification of the SGoF algorithm, to improve the detection of true effects in multiple testing scenarios.
Limitations
The method may still increase false discoveries when the number of tests is high.
Digital Object Identifier (DOI)
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