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dc.contributor.authorIrala, Jokin dees_ES
dc.contributor.authorFernández-Crehuet Navajas, Rafaeles_ES
dc.contributor.authorSerrano del Castillo, Amparoes_ES
dc.date.accessioned2015
dc.date.available2015
dc.date.issued1997es_ES
dc.identifier.citationIrala, Jokin de,Fernández-Crehuet Navajas, Rafael,Serrano del Castillo, Amparo (1997) Abnormally wide confidence intervals in logistic regression: interpretation of statistical program results. Rev Panam Salud Publica;2(4) -,oct. 1997. Retrieved from http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S1020-49891997001000007&lng=pt&nrm=isoes_ES
dc.identifier.urihttp://www.scielosp.org/scielo.php?script=sci_arttext&pid=S1020-49891997001000007&lng=pt&nrm=isoes_ES
dc.identifier.urihttps://iris.paho.org/handle/10665.2/9017
dc.format.extenttabes_ES
dc.relation.ispartofseriesRev Panam Salud Publica;2(4),oct. 1997es_ES
dc.subjectIntervalos de Confiançaes_ES
dc.subjectModelos Logísticoses_ES
dc.subjectInterpretação Estatística de Dadospt_BR
dc.subjectSistemas de Informaçãopt_BR
dc.titleAbnormally wide confidence intervals in logistic regression: interpretation of statistical program resultses_ES
dc.typeJournal articlesen_US
dc.rights.holderPan American Health Organizationen_US
dc.description.notesThis study describes the behavior of eight statistical programs (BMDP, EGRET,IMP, 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 programsen_US


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