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20032011
most citedProbabilities of spurious connections in gene networks: Application to expression time series

26 citations · 221 across the 19 of their papers we have counts for

collaborators

19 papers

q-bio.GN2011★ 19 cited

Empirical Bayes estimation of posterior probabilities of enrichment

Zhenyu Yang, Zuojing Li, David R. Bickel

To interpret differentially expressed genes or other discovered features, researchers conduct hypothesis tests to determine which biological categories such as those of the Gene On…

stat.ME2011★ 18 cited

Resolving conflicts between statistical methods by probability combination: Application to empirical Bayes analyses of genomic data

David R. Bickel

In the typical analysis of a data set, a single method is selected for statistical reporting even when equally applicable methods yield very different results. Examples of equally…

math.ST2011★ 13 cited

Controlling the degree of caution in statistical inference with the Bayesian and frequentist approaches as opposite extremes

David R. Bickel

In statistical practice, whether a Bayesian or frequentist approach is used in inference depends not only on the availability of prior information but also on the attitude taken to…

stat.ME2011★ 11 cited

Simple estimators of false discovery rates given as few as one or two p-values without strong parametric assumptions

David R. Bickel

Multiple comparison procedures that control a family-wise error rate or false discovery rate provide an achieved error rate as the adjusted p-value for each hypothesis tested. Howe…

stat.ME2011★ 3 cited

Small-scale inference: Empirical Bayes and confidence methods for as few as a single comparison

David R. Bickel

By restricting the possible values of the proportion of null hypotheses that are true, the local false discovery rate (LFDR) can be estimated using as few as one comparison. The pr…

math.ST2011★ 16 cited

Measuring support for a hypothesis about a random parameter without estimating its unknown prior

David R. Bickel

For frequentist settings in which parameter randomness represents variability rather than uncertainty, the ideal measure of the support for one hypothesis over another is the diffe…