Abnormally wide confidence intervals in logistic regression
Interpretation of statistical program results
Bibliographic Data
| ID | 14965386 |
|---|---|
| Authors | Jokin de Irala (0000-0002-7249-6581, corresponding author), Rafael Fernandez-Crehuet Navajas, Rafael Fernández‐Crehuet Navajas (Hospital Universitario Reina Sofía), Alvaro Castillo (0009-0007-8776-8002), Amparo Serrano del Castillo |
| Year | 1997 |
| Volume | 2 |
| Issue | 4 |
| Pages | 268-271 |
| Publication date | 1997-10-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Revista Panamericana de Salud Pública (JOURNAL) |
| Journal identifiers | ISSN: 1020-4989 • E-ISSN: 1680-5348 |
| Publisher | FapUNIFESP (SciELO) (PUBLISHER) |
| DOI | 10.1590/s1020-49891997001000007 |
| OpenAlex | W2157670024 |
| SCIELO_PID | S1020-49891997001000007 |
| Language | EN |
| Citations received | 7 |
| References cited | 3 |
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
Confidence interval · Data set · Econometrics · Interpretation (philosophy · Logistic regression · Programming language · Set (abstract data type · Statistics · Birth, Development, and Health · Computer Science · Mathematics
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| Unique citing works | 7 |
|---|---|
| Citations per year | 0.5 |
| Citation span | 2012 - 2026 (15) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 7 |