6 papers
Quasi-randomization-based inference for multivariate Mann-Whitney effects under random missingness
Dennis Dobler, Jörg-Tobias Kuhn, Lubna Amro +1
Marginal Mann-Whitney effects are widely used across various fields of research, and extensions of this estimand have been developed in many directions in statistical methodology.…
Incompletely observed nonparametric factorial designs with repeated measurements: A wild bootstrap approach
Lubna Amro, Frank Konietschke, Markus Pauly
In many life science experiments or medical studies, subjects are repeatedly observed and measurements are collected in factorial designs with multivariate data. The analysis of su…
Asymptotic based bootstrap approach for matched pairs with missingness in a single-arm
Lubna Amro, Markus Pauly, Burim Ramosaj
The issue of missing values is an arising difficulty when dealing with paired data. Several test procedures are developed in the literature to tackle this problem. Some of them are…
A cautionary tale on using imputation methods for inference in matched pairs design
Burim Ramosaj, Lubna Amro, Markus Pauly
Imputation procedures in biomedical fields have turned into statistical practice, since further analyses can be conducted ignoring the former presence of missing values. In particu…
Multiplication-Combination Tests for Incomplete Paired Data
Lubna Amro, Frank Konietschke, Markus Pauly
We consider statistical procedures for hypothesis testing of real valued functionals of matched pairs with missing values. In order to improve the accuracy of existing methods, we…
Permuting Incomplete Paired Data: A Novel Exact and Asymptotic Correct Randomization Test
Lubna Amro, Markus Pauly
Various statistical tests have been developed for testing the equality of means in matched pairs with missing values. However, most existing methods are commonly based on certain d…