Simpson’s Paradox: Examples

Simpson’s paradox is very prevalent in many areas. It characterizes the inconsistency between the conditional and marginal interpretations of the data. In this paper, we illustrate through some examples how the Simpson’s paradox can happen in continuous, categorical, and time-to-event data.

Detalles Bibliográficos
Autores principales: WANG, Bokai, WU, Pan, KWAN, Brian, TU, Xin M., FENG, Changyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Shanghai Municipal Bureau of Publishing 2018
Materias:
Biostatistics in Psychiatry (44)
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5936043/
https://www.ncbi.nlm.nih.gov/pubmed/29736137
http://dx.doi.org/10.11919/j.issn.1002-0829.218026
Descripción
Sumario:Simpson’s paradox is very prevalent in many areas. It characterizes the inconsistency between the conditional and marginal interpretations of the data. In this paper, we illustrate through some examples how the Simpson’s paradox can happen in continuous, categorical, and time-to-event data.

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