35 citations · 44 across the 8 of their papers we have counts for
5 papers · 1 filter
Multiple Testing Of Composite Null Hypotheses With High Dimensional Count Data: A Local False Discovery Rate Approach
Emmanuel Asare, Pratyaydipta Rudra, Joshua Habiger
High throughput sequencing technology is routinely used to generate high dimensional (HD) count data. One objective is to determine which variables are associated with a covariate…
Sensitivity Analysis for False Discovery Rate Estimation with Published p-Values
Tianyu Cao, Sangyoon Yi, Joshua Habiger
There is recent interest in estimating the false discovery rate (FDR) with published p-values. However, there is little formal research that addresses the manner and extent to whic…
Minimally Discrete and Minimally Randomized p-Values
Joshua Habiger, Pratyaydipta Rudra
In meta analysis, multiple hypothesis testing and many other methods, p-values are utilized as inputs and assumed to be uniformly distributed over the unit interval under the null…
Adaptive False Discovery Rate Control for Heterogeneous Data
Joshua D. Habiger
Efforts to develop more efficient multiple hypothesis testing procedures for false discovery rate (FDR) control have focused on incorporating an estimate of the proportion of true…
Compound p-Value Statistics for Multiple Testing Procedures
Joshua D. Habiger, Edsel A. Pena
Many multiple testing procedures make use of the p-values from the individual pairs of hypothesis tests, and are valid if the p-value statistics are independent and uniformly distr…