%0 Journal Article
%T Common pitfalls in statistical analysis: The perils of multiple testing
%A C. S. Pramesh
%A Marc Buyse
%A Priya Ranganathan
%J Archive of "Perspectives in Clinical Research".
%D 2016
%R 10.4103/2229-3485.179436
%X Multiple testing refers to situations where a dataset is subjected to statistical testing multiple times - either at multiple time-points or through multiple subgroups or for multiple end-points. This amplifies the probability of a false-positive finding. In this article, we look at the consequences of multiple testing and explore various methods to deal with this issue
%K Biostatistics
%K data interpretation
%K multiplicity
%K statistical significance
%U https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4840791/