Fast and covariate|adaptive method amplifies detection power in ...

Fast and covariate-adaptive method amplifies detection power in ...

Here we introduce AdaFDR, a fast and flexible method that adaptively learns the optimal p-value threshold from covariates to significantly ...

(PDF) Fast and covariate-adaptive method amplifies detection ...

PDF | Multiple hypothesis testing is an essential component of modern data science. In many settings, in addition to the p-value, ...

[PDF] Fast and covariate-adaptive method amplifies detection power ...

The authors develop AdaFDR, a new statistical method for multiple hypothesis testing that adaptively learns the decision threshold and amplifies the ...

Fast and covariate-adaptive method amplifies detection power in ...

Fast and covariate-adaptive method amplifies detection power in large-scale multiple hypothesis testing. Martin J. Zhang, Fei Xia, James Zou ...

Fast and covariate-adaptive method amplifies detection power in ...

Multiple hypothesis testing is an essential component of modern data science. In many settings, in addition to the p -value, additional covariates for each ...

Fast and covariate-adaptive method amplifies detection power in ...

AbstractMultiple hypothesis testing is an essential component of modern data science. In many settings, in addition to thep-value, additional covariates for ...

martinjzhang/adafdr - GitHub

Fast and covariate-adaptive method amplifies detection power in large-scale multiple hypothesis testing.

AdaFDR: a Fast, Powerful and Covariate-Adaptive ... - bioRxiv

Data-driven hypothesis weighting increases detection power in genome-scale multiple testing. Nat. methods 13, 577–580 (2016). 13. Ignatiadis ...

Covariate Powered Cross-Weighted Multiple Testing

... quickly drops below the nominal α and as a consequence, power ... covariate-adaptive method amplifies detection power in large-scale multiple hypothesis testing.

AdaFDR: a Fast, Powerful and Covariate-Adaptive Approach to ...

Data-driven hypothesis weighting increases detection power in genome-scale multiple testing. Nat. methods 13, 577–580 (2016). OpenUrlGoogle ...

Multiple testing with the structure‐adaptive Benjamini–Hochberg ...

Fast and covariate-adaptive method amplifies detection power in large-scale multiple hypothesis testing · Computer Science. Nature Communications · 2019.

A selective inference approach for false discovery rate control using ...

Zou, Fast and covariate-adaptive method amplifies detection power in large-scale multiple hypothesis testing. Nat. Commun. 10, 3433 (2019). Go to reference.

Covariate adaptive familywise error rate control for genome-wide ...

Data-driven hypothesis weighting increases detection power in genome-scale multiple testing ... Fast and covariate-adaptive method amplifies detection power in ...

Unlocking 66% Faster Experiments with Covariate Adjustment

Clustered Data: If we are interested in testing a feature that improves the customer experience, then the most intuitive unit of randomization ...

Weighted multiple testing procedures in genome-wide association ...

... Algorithm 1: a Optimization Algorithm ... Fast and covariate-adaptive method amplifies detection power in large-scale multiple hypothesis testing.

Covariate-adaptive FDR control methods increase the detection ...

Download scientific diagram | Covariate-adaptive FDR control methods increase the detection power based on the down-sampling analysis. The results are based ...

AdaPT-GMM: Powerful and robust covariate-assisted multiple testing

Fast and covariate-adaptive method amplifies detection power in large-scale multiple hypothesis testing. Nature Communications, 10, 12 2019 ...

Leveraging biological and statistical covariates improves the ...

Covariate-adaptive FDR control methods with informative covariates can significantly increase the detection power for EWAS. For sparse signals, IHW and CAMT ...

MultipleTesting.com: A tool for life science researchers for multiple ...

However, the method requires an estimation of ... Fast and covariate-adaptive method amplifies detection power in large-scale multiple hypothesis testing.

A practical guide to methods controlling false discoveries in ...

Data-driven hypothesis weighting increases detection power in genome-scale multiple testing. Nat Methods. 2016; 13:577–80. Article CAS ...