Open AccessPredictive Factors for Pelvic Organ Prolapse in Iranian Women’s, An Ordinal Logistic Approc
Author(s) -
Ashraf Direkvand-Moghadam,
Zeinab Ghazanfari,
Kourosh Sayehmiri
Publication year - 2014
Publication title -
journal of clinical and diagnostic research
Language(s) - English
Resource type - Journals
eISSN - 2249-782X
pISSN - 0973-709X
DOI - 10.7860/jcdr/2014/7261.3970
Subject(s) - logistic regression , ordinal regression , ordered logit , ordinal data , medicine , stage (stratigraphy) , body mass index , logistic model tree , binomial regression , statistics , obstetrics , mathematics , paleontology , biology
To investigate the predictors factors of Pelvic Organ Prolapse (POP) in Iranian women by using ordinal logistic regression.