Analyzing medical data using S-PLUS应用S-PLUS的医学数据分析 mobi 下载 网盘 caj lrf pdf txt 阿里云

This book covers a range of statistical methods useful in the ***ysis of medical data, from the *** to the sophisticated, and shows how they may be applied using the latest versi*** of S-PLUS and S-PLUS 6. In each chapter several sets of medical data are explored and ***ysed 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 ***yses 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 ***yses from *** 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 investigati*** 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

暂无相关内容，正在全力查找中

暂无出版社相关信息，正在全力查找中！

暂无相关书籍摘录，正在全力查找中！

在线阅读地址：Analyzing medical data using S-PLUS应用S-PLUS的医学数据分析在线阅读

在线听书地址：Analyzing medical data using S-PLUS应用S-PLUS的医学数据分析在线收听

在线购买地址：Analyzing medical data using S-PLUS应用S-PLUS的医学数据分析在线购买

暂无原文赏析，正在全力查找中！

书籍介绍

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