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dc.contributor.authorAnand, Natashaen_US
dc.date.accessioned2016-03-03T19:20:54Z
dc.date.available2016-03-03T19:20:54Z
dc.date.issued2014
dc.identifier.urihttps://hdl.handle.net/2144/15045
dc.description.abstractBACKGROUND: Uterine fibroids affect a quarter of the female population. The advent of minimally invasive gynecological surgery has revolutionized fibroid removal. The aims of this study were to analyze the variables correlated to myomectomies and establish predictive variable models. METHODS: From 2007 to 2009, 966 patients underwent myomectomy. 30 variables surrounding the myomectomies were analyzed. All variables were transformed into categorical variable and analyzed for normal distribution. The variables were cross-tabulated and analyzed for correlation using a Pearson Chi-Square statistic. Correlated variables underwent multinomial logistic regression analysis to obtain predictive models. Conclusion: A complete examination of all types of myomectomies support existing relationships between variables and provide novel correlations and predictions.en_US
dc.language.isoen_US
dc.subjectObstetricsen_US
dc.subjectFibroiden_US
dc.subjectMyomaen_US
dc.subjectMyomectomyen_US
dc.subjectRobotic myomectomyen_US
dc.subjectLaparoscopic myomectomyen_US
dc.titleMyomectomy: a retrospective analysis of myomectomies conducted at Brigham and Women's Hospital from 2009-2012en_US
dc.typeThesis/Dissertationen_US
dc.date.updated2016-01-22T18:57:43Z
etd.degree.nameMaster of Scienceen_US
etd.degree.levelmastersen_US
etd.degree.disciplineMedical Sciencesen_US
etd.degree.grantorBoston Universityen_US


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