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multiple_testing [2010/05/30 21:54]
jdopazo
multiple_testing [2010/05/30 21:55] (current)
jdopazo
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 Addressing multiple testing properly is a rather complex problem. Many of the conventional correction methods (e.g. [[http://​en.wikipedia.org/​wiki/​Bonferroni_correction|Bonferroni or Sidak]]) are based on the consideration that a p-value should be adjusted by multiplying a reasonable significant threshold (e.g. p< 0.05) for the number of tests performed to obtain a new threshold. Whenever many thousands of tests are performed the original assumption risks to be too conservative. ​ Addressing multiple testing properly is a rather complex problem. Many of the conventional correction methods (e.g. [[http://​en.wikipedia.org/​wiki/​Bonferroni_correction|Bonferroni or Sidak]]) are based on the consideration that a p-value should be adjusted by multiplying a reasonable significant threshold (e.g. p< 0.05) for the number of tests performed to obtain a new threshold. Whenever many thousands of tests are performed the original assumption risks to be too conservative. ​
  
-In the context of multiple independent tests (one per gene or one per annotation) it is considered as more appropriate to control the proportion of errors among the identified functional terms whose differences among groups of genes or proteins cannot be attributed to chance instead. The expectation of this proportion is the False Discovery Rate (FDR). Different procedures offer strong control of the FDR under independence and some specific types of positive dependence of the tests statistics (Benjamini and Hochberg, 1995), or under arbitrary dependency of test statistics (Westfall and Young, 1993).+In the context of multiple independent tests (one per gene or one per annotation) it is considered as more appropriate to control the proportion of errors among the identified functional terms whose differences among groups of genes or proteins cannot be attributed to chance instead. The expectation of this proportion is the False Discovery Rate ([[http://​en.wikipedia.org/​wiki/​False_discovery_rate|FDR]]). Different procedures offer strong control of the FDR under independence and some specific types of positive dependence of the tests statistics (Benjamini and Hochberg, 1995), or under arbitrary dependency of test statistics (Westfall and Young, 1993).
  
multiple_testing.txt ยท Last modified: 2010/05/30 21:55 by jdopazo
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