Abnormally wide confidence intervals in logistic regression: interpretation of statistical program results

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...

Full description

Bibliographic Details
Main Authors: Irala Jokin de, Fernandez-Crehuet Navajas Rafael, Serrano del Castillo Amparo
Format: Article in Journal/Newspaper
Language:English
Spanish
Portuguese
Published: Pan American Health Organization 1997
Subjects:
Medicine
R
Arctic medicine. Tropical medicine
RC955-962
Public aspects of medicine
RA1-1270
Arctic
Online Access:https://doaj.org/article/1dc328be2c8241d4be2cf8ab456fc5cb
Description
Summary: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.

Similar Items