Pages that link to "Item:Q2922550"
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The following pages link to How to analyze many contingency tables simultaneously in genetic association studies (Q2922550):
Displaying 17 items.
- New FDR bounds for discrete and heterogeneous tests (Q122244) (← links)
- Multiplicity- and dependency-adjusted \(p\)-values for control of the family-wise error rate (Q273827) (← links)
- Randomized \(p\)-values for multiple testing of composite null hypotheses (Q394102) (← links)
- Robust methods to detect disease-genotype association in genetic association studies: calculate \(p\)-values using exact conditional enumeration instead of simulated permutations or asymptotic approximations (Q482819) (← links)
- Simultaneous Bayesian analysis of contingency tables in genetic association studies (Q906232) (← links)
- On the usage of randomized p-values in the Schweder-Spjøtvoll estimator (Q2121448) (← links)
- Estimating the proportion of true null hypotheses under dependency: a marginal bootstrap approach (Q2189123) (← links)
- Controlling the false discovery exceedance for heterogeneous tests (Q2215957) (← links)
- On Benjamini-Hochberg procedure applied to mid \(p\)-values (Q2301044) (← links)
- Some contributions to practice of 2 × 2 contingency tables (Q5036617) (← links)
- Computing and approximating multivariate chi-square probabilities (Q5222404) (← links)
- False discovery rate estimation for large‐scale homogeneous discrete <i>p</i>‐values (Q5739294) (← links)
- Robust principal component analysis for compositional tables (Q5861494) (← links)
- Randomized ‐values for multiple testing and their application in replicability analysis (Q6068476) (← links)
- Online multiple testing with super-uniformity reward (Q6200910) (← links)
- Multiple testing of composite null hypotheses for discrete data using randomized \(p\)-values (Q6625423) (← links)
- Multiple testing of interval composite null hypotheses using randomized \(p\)-values (Q6640123) (← links)
