Regression analysis for current status data using the EM algorithm - McMahan, Christopher S.; Wang, Lianming; Tebbs, Joshua M. (Statistics in medicine, 2013)
Keywords: African Americans - statistics & numerical data; Algorithms; Bayes Theorem; Computer Simulation; data augmentation; European Continental Ancestry Group - statistics & numerical data; Female; Humans; Incidence; Leiomyoma - diagnostic imaging; Leiomyoma - epidemiology; Likelihood Functions; Mathematical functions; Mathematical models; maximum likelihood; monotone splines; North Carolina - epidemiology; Poisson Distribution; Pregnancy; Pregnancy Complications, Neoplastic - diagnostic imaging; Pregnancy Complications, Neoplastic - epidemiology; Pregnancy Trimester, First; proportional hazards model; Proportional Hazards Models; proportional odds model; Prospective Studies; Regression Analysis; semiparametric regression; Simulation; survival analysis; Tennessee - epidemiology; Texas - epidemiology; Ultrasonography; monotone splines; data augmentation; survival analysis; proportional hazards model; maximum likelihood; semiparametric regression; proportional odds model