Analyzing medical data using S-PLUS应用S-PLUS的医学数据分析 caj kindle 百度云 azw3 夸克云 下载 pdb pdf

This book covers a range of statistical methods useful in the analysis of medical data, from the simple to the sophisticated, and shows how they may be applied using the latest versions of S-PLUS and S-PLUS 6. In each chapter several sets of medical data are explored and analysed using a mixture of graphical and model fitting approaches. At the end of each chapter the S-PLUS * files are listed, enabling readers to reproduce all the analyses and graphics in the chapter. These * files can be downloaded from a web site. The aim of the book is to show how to use S-PLUS as a powerful environment for undertaking a variety of statistical analyses from simple inference to complex model fitting, and for providing informative graphics. All such methods are of increasing importance in handling data from a variety of medical investigations including epidemiological studies and clinical trials. The mix of real data examples and background theory make this book useful for students and researchers alike. For the former, exercises are provided at the end of each chapter to increase their fluency in using the command line language of the S-PLUS software. Professor Brian Everitt is Head of the Department of Biostatistics and Computing at the Institute of Psychiatry in London and Sophia Rabe-Hesketh is a senior lecturer in the same department. Professor Everitt is the author of over 30 books on statistics including two previously co-authored with Dr. Rabe-Hesketh.

1　An Introduction to S-PLUS

2 Describing Data

3 Basic Inference

4 Scatterplots,Simple Regression and Smoothing

5 Analysis of ariance and Covariance

6 The Analysis of Longitudinal Data

7 More Graphics

8 Multiple Linear Regression

9 Generalized Linear Models I:Logistic Regression

10 Generalised linear models II:Poisson regression

11 Linear Mixed Models I

12 Linear Mixed Models II

13 Generalized Additive Models

14 Nonlinear models

15 Regression trees

16 Survival Analysis I

17 Survival Analysis II:Cox's Regression

18 Principal Components and Factor Analysis

19 Cluster Analysis

20 Discriminant Function Analysis

A The S-PLUS GUI

B Answers to selected exerciese

References

Index

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书籍介绍

Each chapter consists of basic statistical theory, simple examples of S-PLUS code, plus more complex examples of S-PLUS code, and exercises. All data sets are taken from genuine medical investigations and will be available on a web site. The examples in the book contain extensive graphical analysis to highlight one of the prime features of S-PLUS. Written with few details of S-PLUS and less technical descriptions, the book concentrates solely on medical data sets, demonstrating the flexibility of S-PLUS and its huge advantages, particularly for applied medical statisticians.