Optimal sample size for multiple testing: The case of gene expression microarrays

Mathematics

• Microarray 82%
• Gene Expression 81%
• Multiple Comparisons 80%
• Multiple Testing 80%
• Sample Size 49%
• Expected Utility 34%
• Differential Expression 32%
• Loss Function 26%
• Decision problem 26%
• Gene 25%
• Valid 19%
• Markov Chain Monte Carlo Simulation 17%
• False Discovery Rate 16%
• Test of Hypothesis 16%
• Prior Probability 16%
• Statistical Power 16%
• Decision Rules 15%
• Probability Model 14%
• Conditioning 13%
• Sensitivity Analysis 13%
• Diagnostics 12%
• False 12%
• Model 12%
• Null hypothesis 12%
• Communication 11%
• Learning 11%
• Form 10%
• Experiment 9%
• Interpretation 9%
• Dependent 8%
• Simulation 8%
• Context 7%

Business & Economics

• Microarray 100%
• Gene Expression 90%
• Multiple Comparisons 90%
• Sample Size 88%
• Expected Utility 35%
• Loss Function 29%
• Gene 23%
• Monte Carlo Simulation 20%
• Statistical Power 17%
• Probability Model 16%
• Markov Chain Monte Carlo 15%
• Sampling 13%
• Conditioning 13%
• Diagnostics 12%
• Sensitivity Analysis 11%
• Hypothesis Test 11%
• Simulation 8%
• Experiment 7%
• Communication 7%