title: [Unconditioned logistic regression and sample size: a bibliographic review].
abstract: Unconditioned logistic regression is a highly useful risk prediction method in epidemiology. This article reviews the different solutions provided by different authors concerning the interface between the calculation of the sample size and the use of logistics regression. Based on the knowledge of the information initially provided, a review is made of the customized regression and predictive constriction phenomenon, the design of an ordinal exposition with a binary output, the event of interest per variable concept, the indicator variables, the classic Freeman equation, etc. Some skeptical ideas regarding this subject are also included.
authors.affiliation: Centro de Salud Pilas, Unidad de Apoyo a la Investigación, Hospitales Universitarios Virgen del Rocío, Sevilla.
authors.forename: Manuel
authors.initials: M
authors.lastname: Ortega Calvo
authors.forename: Aurelio
authors.initials: A
authors.lastname: Cayuela Domínguez
mesh_terms: D016015:Logistic Models; D018401:Sample Size