Sample Size Impact on the Categorisation of Continuous Variables in Clinical Prediction

Barrio, Irantzu; Arostegui, Inmaculada; Rodríguez Álvarez, María Xosé

Abstract:

Recent advances in information technologies are generating a growth in the amount of available biomedical data. In this paper, we studied the impact sample size may have on the categorisation of a continuous predictor variable in a logistic regression setting. Two different approaches to categorise predictor variables were compared.

Year:

2017

Type of Publication:

Proceedings

Editor:

Elizabeth A. Ainsbury; M. Luz Calle; Elisabeth Cardis; Jochen Einbeck; Guadalupe Gómez; Pere Puig

Book:

Trends in Mathematics

ISBN:

978-3-319-55639-0

DOI:

https://doi.org/10.1007/978-3-319-55639-0_3