Understanding Biostatistics ( Statistics in Practice )

Publication series :Statistics in Practice

Author: Anders Källén  

Publisher: John Wiley & Sons Inc‎

Publication year: 2011

E-ISBN: 9781119992684

P-ISBN(Hardback):  9780470666364

Subject: Q-332 biological mathematics

Language: ENG

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Description

Understanding Biostatistics looks at the fundamentals of biostatistics, using elementary statistics to explore the nature of statistical tests.

This book is intended to complement first-year statistics and biostatistics textbooks. The main focus here is on ideas, rather than on methodological details. Basic concepts are illustrated with representations from history, followed by technical discussions on what different statistical methods really mean. Graphics are used extensively throughout the book in order to introduce mathematical formulae in an accessible way.

Key features:

  • Discusses confidence intervals and p-values in terms of confidence functions.
  • Explains basic statistical methodology represented in terms of graphics rather than mathematical formulae, whilst highlighting the mathematical basis of biostatistics.
  • Looks at problems of estimating parameters in statistical models and looks at the similarities between different models.
  • Provides an extensive discussion on the position of statistics within the medical scientific process.
  • Discusses distribution functions, including the Guassian distribution and its importance in biostatistics.

This book will be useful for biostatisticians with little mathematical background as well as those who want to understand the connections in biostatistics and mathematical issues.

Chapter

Contents

pp.:  1 – 7

Preface

pp.:  7 – 11

3 Study design and the bias issue

pp.:  43 – 71

4 The anatomy of a statistical test

pp.:  71 – 99

5 Learning about parameters, and some notes on planning

pp.:  99 – 133

6 Empirical distribution functions

pp.:  133 – 163

7 Correlation and regression in bivariate distributions

pp.:  163 – 191

8 How to compare the outcome in two groups

pp.:  191 – 223

9 Least squares, linear models and beyond

pp.:  223 – 259

10 Analysis of dose response

pp.:  259 – 287

11 Hazards and censored data

pp.:  287 – 303

12 From the log-rank test to the Cox proportional hazards model

pp.:  303 – 331

13 Remarks on some estimation methods

pp.:  331 – 357

Index

pp.:  357 – 385

LastPages

pp.:  385 – 392

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