In this work, we show how permutation methods can be applied to combination analyses
such as those that include multiple imaging modalities, multiple data acquisitions of the …

The external validity of causal findings is a focus of long-standing debates in the social
sciences. Although the issue has been extensively studied at the conceptual level, in …

Motivated by the practice of exploratory research, we formulate an approach to multiple
testing that reverses the conventional roles of the user and the multiple testing procedure …

We develop a statistical tool SNVer for calling common and rare variants in analysis of
pooled or individual next-generation sequencing (NGS) data. We formulate variant calling …

Motivation Combining P-values from multiple statistical tests is a common exercise in
bioinformatics. However, this procedure is non-trivial for dependent P-values. Here, we …

Studying sets of genomic features is increasingly popular in genomics, proteomics and
metabolomics since analyzing at set level not only creates a natural connection to biological …

Colorectal cancer (CRC) is one of the leading causes of cancer related deaths and the
search for prognostic biomarkers that might improve treatment decisions is warranted …

RNA sequencing studies with complex designs and transcript-resolution analyses involve
multiple hypotheses per gene; however, conventional approaches fail to control the false …

Conditional calibration for false discovery rate control under dependence Page 1 The Annals of
Statistics 2022, Vol. 50, No. 6, 3091–3118 https://doi.org/10.1214/21-AOS2137 © Institute of …

We explain the problem of selective inference in complex research using a recently
published study: a replicability study of the associations in order to reveal and establish risk …