In the analysis of survival data, the problems of competing risks arise frequently in medical applications where individuals fail from multiple causes. Semiparametric mixture regression models have become a prominent approach in competing risks analysis due to their flexibility and easy interpretation of resultant estimates. The literature presents several semiparametric methods on the estimations for mixture Cox proportional hazards models, but fewer works appear on the determination of the number of model components and the estimation of baseline hazard functions using kernel approaches.
View Article and Find Full Text PDFTaiwan J Obstet Gynecol
September 2010
Objective: To assess the associated risk factors for daytime urinary frequency among Taiwanese women aged = 60 years.
Materials And Methods: Daytime urinary frequency, defined by the International Continence Society, and its associated problems were evaluated, and medical history and sociodemographic variables were recorded. A total of 2,410 women were selected by a multistage random sampling method.
Taiwan J Obstet Gynecol
December 2009
Objective: To evaluate the prevalence of daytime urinary frequency among Taiwanese women aged 60 years and older.
Materials And Methods: There were an estimated 1.25 million female residents aged 60 years and over in Taiwan in 2000.