When analyzing categorical or ordinal data one often comes across sparse contingency tables. One of the biggest problems with this situation is due to the low power of tests for independencies between variables. In this paper, we propose a procedure, based on context-specific independencies, to increase the power of tests. The idea is to focus on subtables where the number of null cells is relatively low. In addition, including these kinds of independencies in the Union-Intersection procedure can provide comforting results. These results are shown in a simulative study of different scenarios.

How to increase the power of the test in sparse contingency tables: a simulation study

F. Nicolussi;
2023-01-01

Abstract

When analyzing categorical or ordinal data one often comes across sparse contingency tables. One of the biggest problems with this situation is due to the low power of tests for independencies between variables. In this paper, we propose a procedure, based on context-specific independencies, to increase the power of tests. The idea is to focus on subtables where the number of null cells is relatively low. In addition, including these kinds of independencies in the Union-Intersection procedure can provide comforting results. These results are shown in a simulative study of different scenarios.
2023
SIS2023 Book of the Short Papers
9788891935618
Context-specific independencies, sub-tables, union-intersection principle
File in questo prodotto:
File Dimensione Formato  
SIS23_Nicolussi.pdf

accesso aperto

Dimensione 455.84 kB
Formato Adobe PDF
455.84 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1248958
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact