# Unsing and Understanding Medical Statistics

## Matthews, D.

1ª Edición Septiembre 2015

Inglés

Tapa dura

338 pags

500 gr

x x cm

### ISBN 9783318054583

### Editorial KARGER

Recíbelo en un plazo De 2 a 3 semanas

### Description

The fifth revised edition of this highly successful book presents the most
extensive enhancement since Using and Understanding Medical Statistics was first
published 30 years ago. Without question, the single greatest change has been
the inclusion of source code, together with selected output, for the award-winning,
open-source, statistical package known as R. This innovation has enabled the
authors to de-emphasize formulae and calculations, and let software do all of
the ‘heavy lifting’.

This edition also introduces readers to several graphical statistical tools,
such as Q-Q plots to check normality, residual plots for multiple regression
models, funnel plots to detect publication bias in a meta-analysis and Bland-Altman
plots for assessing agreement in clinical measurements. New examples that better
serve the expository goals have been added to a half-dozen chapters. In addition,
there are new sections describing exact confidence bands for the Kaplan-Meier
estimator, as well as negative binomial and zero-inflated Poisson regression
models for over-dispersed count data.

The end result is not only an excellent introduction to medical statistics,
but also an invaluable reference for every discerning reader of medical research
literature.

### Contents

Preface to the Fifth Edition

Prefaces to the Previous Editions

1 Basic Concepts

2 Tests of Significance

3 Fisher’s Test for 2 × 2 Contingency Tables

4 Approximate Significance Tests for Contingency Tables

5 Some Warnings concerning 2 × 2 Tables

6 Kaplan-Meier or ‘Actuarial’ Survival Curves

7 The Log-Rank or Mantel-Haenszel Test for Comparing Survival Curves

8 An Introduction to the Normal Distribution

9 Analyzing Normally Distributed Data

10 Linear Regression Models for Medical Data

11 Binary Logistic Regression

12 Regression Models for Count Data

13 Proportional Hazards Regression

14 The Analysis of Longitudinal Data

15 Analysis of Variance

16 Data Analysis

17 The Question of Sample Size

18 The Design of Clinical Trials

19 Further Comments regarding Clinical Trials

20 Meta-Analysis

21 Epidemiological Applications

22 Diagnostic Tests

23 Agreement and Reliability

References

Subject Index

Online Supplementary Material

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