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- W2054818395 abstract "Multiple hypothesis testing often encounters composite nulls and intractable alternative distributions. In this case, using p-values that are defined as maximum significance levels over all null distributions (“pmax”) often leads to very conservative testing. We propose constructing p-values via maximization under linear constraints imposed by data’s empirical distribution, and show that these p-values allow the false discovery rate (FDR) to be controlled with substantially more power than pmax." @default.
- W2054818395 created "2016-06-24" @default.
- W2054818395 creator A5044791174 @default.
- W2054818395 date "2010-01-01" @default.
- W2054818395 modified "2023-09-26" @default.
- W2054818395 title "Multiple hypothesis testing on composite nulls using constrained p-values" @default.
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- W2054818395 doi "https://doi.org/10.1214/08-ejs318" @default.
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