Ebook: Analyzing Medical Data Using S-PLUS

Each chapter will consist of basic statistical theory, simple examples of S-PLUS code, more complex examples of S-PLUS code, and exercises. All data sets will be taken from genuine medical investigations and will be made available, if possible, on a web site. All examples will contain extensive graphical analysis to highlight one of the prime features of S-PLUS. The book would complement Venables and Ripley (VR). However, there is far less about the details of S-PLUS and probably less technical descriptions of techniques. The book concentrates solely on medical data sets trying to demonstrate the flexibility of S-PLUS and its huge advantages, particularly for applied medical statisticians.

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Each chapter will consist of basic statistical theory, simple examples of S-PLUS code, more complex examples of S-PLUS code, and exercises. All data sets will be taken from genuine medical investigations and will be made available, if possible, on a web site. All examples will contain extensive graphical analysis to highlight one of the prime features of S-PLUS. The book would complement Venables and Ripley (VR). However, there is far less about the details of S-PLUS and probably less technical descriptions of techniques. The book concentrates solely on medical data sets trying to demonstrate the flexibility of S-PLUS and its huge advantages, particularly for applied medical statisticians.

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Each chapter will consist of basic statistical theory, simple examples of S-PLUS code, more complex examples of S-PLUS code, and exercises. All data sets will be taken from genuine medical investigations and will be made available, if possible, on a web site. All examples will contain extensive graphical analysis to highlight one of the prime features of S-PLUS. The book would complement Venables and Ripley (VR). However, there is far less about the details of S-PLUS and probably less technical descriptions of techniques. The book concentrates solely on medical data sets trying to demonstrate the flexibility of S-PLUS and its huge advantages, particularly for applied medical statisticians.
Content:
Front Matter....Pages i-xii
Prologue: Medical Statistics....Pages 1-4
An Introduction to S-PLUS....Pages 5-36
Describing Data....Pages 37-61
Basic Inference....Pages 63-87
Scatterplots, Simple Regression and Smoothing....Pages 89-119
Analysis of Variance and Covariance....Pages 121-142
The Analysis of Longitudinal Data....Pages 143-156
More Graphics....Pages 157-177
Multiple Linear Regression....Pages 179-204
Generalized Linear Models I: Logistic Regression....Pages 205-222
Generalised linear models II: Poisson regression....Pages 223-242
Linear Mixed Models I....Pages 243-268
Linear Mixed Models II....Pages 269-289
Generalized Additive Models....Pages 291-303
Nonlinear models....Pages 305-326
Regression Trees....Pages 327-344
Survival Analysis I....Pages 345-359
Survival Analysis II: Cox’s Regression....Pages 361-379
Principal Components and Factor Analysis....Pages 381-400
Cluster Analysis....Pages 401-416
Back Matter....Pages 439-487
Discriminant Function Analysis....Pages 417-437

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Each chapter will consist of basic statistical theory, simple examples of S-PLUS code, more complex examples of S-PLUS code, and exercises. All data sets will be taken from genuine medical investigations and will be made available, if possible, on a web site. All examples will contain extensive graphical analysis to highlight one of the prime features of S-PLUS. The book would complement Venables and Ripley (VR). However, there is far less about the details of S-PLUS and probably less technical descriptions of techniques. The book concentrates solely on medical data sets trying to demonstrate the flexibility of S-PLUS and its huge advantages, particularly for applied medical statisticians.
Content:
Front Matter....Pages i-xii
Prologue: Medical Statistics....Pages 1-4
An Introduction to S-PLUS....Pages 5-36
Describing Data....Pages 37-61
Basic Inference....Pages 63-87
Scatterplots, Simple Regression and Smoothing....Pages 89-119
Analysis of Variance and Covariance....Pages 121-142
The Analysis of Longitudinal Data....Pages 143-156
More Graphics....Pages 157-177
Multiple Linear Regression....Pages 179-204
Generalized Linear Models I: Logistic Regression....Pages 205-222
Generalised linear models II: Poisson regression....Pages 223-242
Linear Mixed Models I....Pages 243-268
Linear Mixed Models II....Pages 269-289
Generalized Additive Models....Pages 291-303
Nonlinear models....Pages 305-326
Regression Trees....Pages 327-344
Survival Analysis I....Pages 345-359
Survival Analysis II: Cox’s Regression....Pages 361-379
Principal Components and Factor Analysis....Pages 381-400
Cluster Analysis....Pages 401-416
Back Matter....Pages 439-487
Discriminant Function Analysis....Pages 417-437
....