2 citations · 3 across the 4 of their papers we have counts for
4 papers · 1 filter
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…
Logistic regression with missing responses and predictors: a review of existing approaches and a case study
Susana Rafaela Martins, Jacobo de Uña-Álvarez, María del Carmen Iglesias-Pérez
In this work logistic regression when both the response and the predictor variables may be missing is considered. Several existing approaches are reviewed, including complete case…
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…
Improved -values for discrete uniform and homogeneous tests: a comparative study
Marta Cousido-Rocha, Jacobo de Uña-Álvarez, Sebastian Döhler
Large scale discrete uniform and homogeneous -values often arise in applications with multiple testing. For example, this occurs in genome wide association studies whenever a no…