Ranking procedures for repeated measures designs with missing data: Estimation, testing and asymptotic theory

We develop purely nonparametric methods for the analysis of repeated measures designs with missing values. Hypotheses are formulated in terms of purely nonparametric treatment effects. In particular, data can have different shapes even under the null hypothesis and therefore, a solution to the nonpa...

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Detalles Bibliográficos
Autores principales: Rubarth, Kerstin, Pauly, Markus, Konietschke, Frank
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8721540/
https://www.ncbi.nlm.nih.gov/pubmed/34841991
http://dx.doi.org/10.1177/09622802211046389

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8721540/
https://www.ncbi.nlm.nih.gov/pubmed/34841991
http://dx.doi.org/10.1177/09622802211046389

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