Survival model application for analysis of neonatal length of stay
- PMID: 32403896
- PMCID: PMC7462824
- DOI: 10.3345/cep.2019.01508
Survival model application for analysis of neonatal length of stay
Conflict of interest statement
No potential conflict of interest relevant to this article was reported.
Figures
Comment on
-
Evaluation of goodness of fit of semiparametric and parametric models in analysis of factors associated with length of stay in neonatal intensive care unit.Clin Exp Pediatr. 2020 Sep;63(9):361-367. doi: 10.3345/cep.2019.00437. Epub 2020 Jun 10. Clin Exp Pediatr. 2020. PMID: 32517423 Free PMC article.
References
-
- Khan SA, Khosa SK. Generalized log-logistic proportional hazard model with applications in survival analysis. J Stat Distrib App. 2016 doi: 10.1186/s40488-016-0054-z. - DOI
-
- Ravangard R, Arab M, Rashidian A, Akbarisari A, Zare A, Zeraati H. Comparison of the results of Cox proportional hazards model and parametric models in the study of length of stay in a tertiary teaching hospital in Tehran, Iran. Acta Med Iran. 2011;49:650–8. - PubMed
-
- Reza GM, Nasim V, Zeynab M. Semi-parametric Cox regression for factors affecting hospitalization length. Daneshvar Med. 2012;18:23–30.
Publication types
LinkOut - more resources
Full Text Sources
