Novel Application of Statistical Methods to Identify New Urinary Incontinence Risk Factors

Novel Application of Statistical Methods to Identify New Urinary Incontinence Risk Factors

Longitudinal data for studying urinary incontinence (UI) risk factors are rare. Data from one study, the hallmark Medical, Epidemiological, and Social Aspects of Aging (MESA), have been analyzed in the past; however, repeated measures analyses that are crucial for analyzing longitudinal data have no...

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Bibliographic Details
Main Authors: Theophilus O. Ogunyemi, Mohammad-Reza Siadat, Suzan Arslanturk, Kim A. Killinger, Ananias C. Diokno
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:Advances in Urology
Online Access:http://dx.doi.org/10.1155/2012/276501
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