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Intervalos de confianza anormalmente amplios en regresión logística

Interpretación de resultados de programas estadísticos

Bibliographic Data

ID14966883
AuthorsJokin de Irala (0000-0002-7249-6581, University of Córdoba, corresponding author), Rafael Fernandez-Crehuet Navajas, Rafael Fernández‐Crehuet Navajas (Hospital Universitario Reina Sofía), Alvaro Castillo (0009-0007-8776-8002, University of Córdoba), Amparo Serrano del Castillo
Year1997
Volume1
Issue3
Pages230-234
Publication date1997-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueRevista Panamericana de Salud Pública (JOURNAL)
Journal identifiersISSN: 1020-4989 • E-ISSN: 1680-5348
PublisherFapUNIFESP (SciELO) (PUBLISHER)
DOI10.1590/s1020-49891997000300010
PMID9162592
OpenAlexW2164892085
SCIELO_PIDS1020-49891997000300010
LanguageES
Citations received1

This study describes the behavior of eight statistical programs (BMDP, EGRET, JMP, SAS, SPSS, STATA, STATISTIX, and SYSTAT) when performing a logistic regression with a simulated data set that contains a numerical problem created by the presence of a cell value equal to zero. The programs respond in different ways to this problem. Most of them give a warning, although many simultaneously present incorrect results, among which are confidence intervals that tend toward infinity. Such results can mislead the user. Various guidelines are offered for detecting these problems in actual analyses, and users are reminded of the importance of critical interpretation of the results of statistical programs

Humanities · Economics of Agriculture and Food Markets · Food Security and Health in Diverse Populations · Mathematics · Nutritional Studies and Diet · Philosophy

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Unique citing works1
Citations per year0.33
Citation span2023 - 2023 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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