Statistical Methods in Medical Research, Fourth Edition

✍ Scribed by P. Armitage, G. Berry, J.N.S. Matthews(auth.)

• Publisher: Wiley-Blackwell
• Year: 2001
• Tongue: English
• Leaves: 825
• Category: Library

✦ Synopsis

The explanation and implementation of statistical methods for the medical researcher or statistician remains an integral part of modern medical research. This book explains the use of experimental and analytical biostatistics systems. Its accessible style allows it to be used by the non-mathematician as a fundamental component of successful research.

Since the third edition, there have been many developments in statistical techniques. The fourth edition provides the medical statistician with an accessible guide to these techniques and to reflect the extent of their usage in medical research.

The new edition takes a much more comprehensive approach to its subject. There has been a radical reorganization of the text to improve the continuity and cohesion of the presentation and to extend the scope by covering many new ideas now being introduced into the analysis of medical research data. The authors have tried to maintain the modest level of mathematical exposition that characterized the earlier editions, essentially confining the mathematics to the statement of algebraic formulae rather than pursuing mathematical proofs.

Received the Highly Commended Certificate in the Public Health Category of the 2002 BMA Books Competition.Content:
Chapter 1 The Scope of Statistics (pages 1–7):
Chapter 2 Describing Data (pages 8–46):
Chapter 3 Probability (pages 47–82):
Chapter 4 Analysing Means and Proportions (pages 83–146):
Chapter 5 Analysing Variances, Counts and Other Measures (pages 147–164):
Chapter 6 Bayesian Methods (pages 165–186):
Chapter 7 Regression and Correlation (pages 187–207):
Chapter 8 Comparison of Several Groups (pages 208–235):
Chapter 9 Experimental Design (pages 236–271):
Chapter 10 Analysing Non?Normal Data (pages 272–311):
Chapter 11 Modelling Continuous Data (pages 312–377):
Chapter 12 Further Regression Models for a Continuous Response (pages 378–454):
Chapter 13 Multivariate Methods (pages 455–484):
Chapter 14 Modelling Categorical Data (pages 485–502):
Chapter 15 Empirical Methods for Categorical Data (pages 503–527):
Chapter 16 Further Bayesian Methods (pages 528–567):
Chapter 17 Survival Analysis (pages 568–590):
Chapter 18 Clinical Trials (pages 591–647):
Chapter 19 Statistical Methods in Epidemiology (pages 648–716):
Chapter 20 Laboratory Assays (pages 717–741):