Making complex methods more accessible to applied researchers without an advanced mathematical background, the authors present the essence of new techniques ava
Missing data pose challenges to real-life data analysis. Simple ad-hoc fixes, like deletion or mean imputation, only work under highly restrictive conditions, w
Survival Analysis Using S: Analysis of Time-to-Event Data is designed as a text for a one-semester or one-quarter course in survival analysis for upper-level or
Survival Analysis for Bivariate Truncated Data provides readers with a comprehensive review on the existing works on survival analysis for truncated data, mainl
Contains additional discussion and examples on left truncationas well as material on more general censoring and truncationpatterns. Introduces the martingale an