The Statistical Analysis Failure Time Data

Counting Processes and Survival Analysis explores the martingale approach to the statistical analysis of counting processes, with an emphasis on the application of those methods to censored failure time data.

In survival analysis there has long been a need for models that goes beyond the Cox model as the proportional hazards assumption often fails in practice. This book studies and applies modern flexible regression models for survival data with a special focus on extensions of the Cox model and alternative models with the specific aim of describing time-varying effects of explanatory variables.

Authors: Tutz, Gerhard, Schmid, Matthias
Provides the first comprehensive overview of statistical methods for discrete failure times
Contains numerous examples and exercises that illustrate the presented methods Introduces novel methodology for model selection, nonparametric estimation and model evaluation that is new in the context of discrete failure analysis
Reproducible data through freely available R codes

Business Tools for Successful Execution. Apply economic theory and analytical tools to make effective business decisions.

What if you could explore your data to see the story behind the numbers? You can. Created by SAS for statistical discovery, every product in the JMP software suite is visual and interactive, comprehensive and extendible. No matter what your field, we have a product that will help you connect with your data - whether you are new to statistical analysis or are a seasoned statistician.
Your analytic options continue to expand with JMP 9. You get powerful new ways of understanding, visualizing and communicating what your data is telling you. And when you make JMP your analytic hub, you can leverage your other favorite tools: SAS, Excel and R. You can also incorporate geographic maps into your JMP visualizations. Plus, an updated interface on Microsoft Windows makes for a fresh user experience.

What if you could explore your data to see the story behind the numbers? You can. Created by SAS for statistical discovery, every product in the JMP software suite is visual and interactive, comprehensive and extendible. No matter what your field, we have a product that will help you connect with your data - whether you are new to statistical analysis or are a seasoned statistician.
Your analytic options continue to expand with JMP 9. You get powerful new ways of understanding, visualizing and communicating what your data is telling you. And when you make JMP your analytic hub, you can leverage your other favorite tools: SAS, Excel and R. You can also incorporate geographic maps into your JMP visualizations. Plus, an updated interface on Microsoft Windows makes for a fresh user experience.