Tag Archives: Springer

The Cox Model and Its Applications

The Cox Model and Its Applications
The Cox Model and Its Applications

The Cox Model and Its Applications published in Springer Briefs in Statistics 2016. Written by Mikhail Nikulin and Hong-Dar Isaac Wu.

I enjoyed reading this book although it has no code examples. I think I can figure out the code from the precise equations.

Cox proportional hazards model is a type of survival analysis.  The proportional hazards model was put forward by Sir David Cox in 1972.

Chapter 2 covers the basic concepts for models. Including  classical parametric models and how to handle censored data.

Chapter 3 covers the cox proportional hazards model including tampered failure time model.

Chapter 5 is about Cross-effect Models of Survival Functions.

5.2 Parametric Weibull Regression with Hetroscedastic Shape parameter.

There are lots more models. I recommend reading the book with a card you have written on explaining in a way you understand the  definitions and symbols used in the book.

 

Applied Predictive Modeling

apppredictlearnMax Kuhn and Kjell Johnson; Applied Predictive Modeling published by Springer 2013

This is such a good book it has taken me awhile to work through the book.  All the while finding examples of why people should read the book.

The summary in 2.3 does a good job of explaining why this subject is so important. Easy to pick a model, hard to get it correct with reliable, trustworthy results.

I was asked what models were in the book. All the commonly used ones  like K-Nearest Neighbors, plus models like Multivariate Adaptive Regression Spines and Cubist Regression Trees for Regression Models.

Classification Models including Nearest Shrunken Centroid and Nonlinear Classification Models.

Well thought out examples with the R packages and example code.

Take your time and work through this book.