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A Handbook of Statistical Analyses Using R

Torsten Hothorn and Brian S. Everitt
Publisher: 
Chapman & Hall/CRC
Publication Date: 
2014
Number of Pages: 
421
Format: 
Paperback
Edition: 
3
Price: 
64.95
ISBN: 
9781482204582
Category: 
Manual
[Reviewed by
Fernando Q. Gouvêa
, on
07/22/2014
]
See our review of the second edition. The authors have added three new chapters: on quantile regression, missing values, and Bayesian inference. There is also new material and new exercises in several of the chapters.

Introduction
Density Estimation
Analysis Using R
Summary of Findings
Final Comments

 

Recursive Partitioning
Introduction
Recursive Partitioning
Analysis Using R
Summary of Findings
Final Comments    

 

Scatterplot Smoothers and Additive Models
Introduction    
Scatterplot Smoothers and Generalised Additive Models    
Analysis Using R    
Summary of Findings
Final Comments

 

Survival Analysis
Introduction    
Survival Analysis    
Analysis Using R    
Summary of Findings
Final Comments    

 

Quantile Regression
Introduction    
Quantile Regression    
Analysis Using R    
Summary of Findings    
Final Comments    

 

Analysing Longitudinal Data I
Introduction    
Analysing Longitudinal Data    
Linear Mixed Effects Models    
Analysis Using R    
Prediction of Random Effects    
The Problem of Dropouts    
Summary of Findings    
Final Comments

 

Analysing Longitudinal Data II
Introduction    
Methods for Non-Normal Distributions    
Analysis Using R: GEE    
Analysis Using R: Random Effects
Summary of Findings    
Final Comments    

 

Simultaneous Inference and Multiple Comparisons
Introduction    
Simultaneous Inference and Multiple Comparisons    
Analysis Using R    
Summary of Findings    
Final Comments

 

Missing Values
Introduction    
The Problems of Missing Data    
Dealing with Missing Values    
Imputing Missing Values    
Analyzing Multiply Imputed Data    
Analysis Using R    
Summary of Findings    
Final Comments

 

Meta-Analysis
Introduction    
Systematic Reviews and Meta-Analysis    
Statistics of Meta-Analysis    
Analysis Using R    
Meta-Regression    
Publication Bias    
Summary of Findings    
Final Comments    

 

Bayesian Inference
Introduction    
Bayesian Inference    
Analysis Using R    
Summary of Findings    
Final Comments    

 

Principal Component Analysis
Introduction    
Principal Component Analysis    
Analysis Using R    
Summary of Findings    
Final Comments

 

Multidimensional Scaling
Introduction    
Multidimensional Scaling    
Analysis Using R    
Summary of Findings    
Final Comments    

 

Cluster Analysis
Introduction    
Cluster Analysis    
Analysis Using R    
Summary of Findings    
Final Comments

 

Bibliography

Index

Dummy View - NOT TO BE DELETED