A PERMUTATION PAIRED TEST ALLOWING FOR MISSING VALUES
Summary
The paper presents a paired test of the equality of two means, allowing for incomplete pairs. It is a permutation test depending on minimal distributional assumptions. The test may be performed on original data or after transformation of the data. Transformation to ranks is illustrated.
Citing Literature
Number of times cited according to CrossRef: 5
- Charles Quesada, Benjamin Pommier, Camille Fauchon, Claire Bradley, Christelle Créacʼh, Marion Murat, François Vassal, Roland Peyron, New procedure of high-frequency repetitive transcranial magnetic stimulation for central neuropathic pain, PAIN, 10.1097/j.pain.0000000000001760, 161, 4, (718-728), (2020).
- Burim Ramosaj, Lubna Amro, Markus Pauly, A cautionary tale on using imputation methods for inference in matched-pairs design, Bioinformatics, 10.1093/bioinformatics/btaa082, (2020).
- Daniel Gaigall, Testing marginal homogeneity of a continuous bivariate distribution with possibly incomplete paired data, Metrika, 10.1007/s00184-019-00742-5, (2019).
- Lubna Amro, Markus Pauly, Permuting incomplete paired data: a novel exact and asymptotic correct randomization test, Journal of Statistical Computation and Simulation, 10.1080/00949655.2016.1249871, 87, 6, (1148-1159), (2016).
- Fortunato Pesarin, Luigi Salmaso, References, Permutation Tests for Complex Data, undefined, (387-407), (2010).
