2 papers
stat.ME2023
Controlling the number of significant effects in multiple testing
Jacobo de Uña-Álvarez
In multiple testing several criteria to control for type I errors exist. The false discovery rate, which evaluates the expected proportion of false discoveries among the rejected n…
stat.ME2023
Testing for an ignorable sampling bias under random double truncation
Jacobo de Uña-Álvarez
In clinical and epidemiological research doubly truncated data often appear. This is the case, for instance, when the data registry is formed by interval sampling. Double truncatio…