4 citations · 4 across the 3 of their papers we have counts for
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stat.ME2026
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…
stat.ME2026
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…
stat.ME2014
A procedure to detect general association based on concentration of ranks
Pratyaydipta Rudra, Fred A. Wright
In modern high-throughput applications, it is important to identify pairwise associations between variables, and desirable to use methods that are powerful and sensitive to a varie…