Medical Statistics A Textbook For The Health Sciences 5th Stephen J Walters by Stephen J. Walters, Michael J. Campbell, David Machin 9781119423645, 1119423643 instant download after payment.

It is more than 13 years since the last edition of Medical Statistics: A
Textbook for the Health Sciences was published and it has proven to be
popular. This preface outlines the major changes and updates made since
that edition was published.
All the chapters have been revised and updated. With simpler statistical
methods it is useful to be able to carry out an analysis for oneself, to help
fully understand its usefulness and its limitations. However, with the advent
of public domain software for the analysis of data, ever more complex
statistical methods are available to the researcher. These advanced methods
have been incorporated in many elementary medical statistics syllabuses. A
student today needs to understand the application and limitations of these
methods to be able to fully evaluate articles in many main stream medical
journals. To this end we have introduced new chapters on diagnostic tests,
linear modelling, logistic modelling and a further one covering briefly more
advanced topics such as random effects modelling and Poisson regression.
At all times the emphasis is on understanding why such techniques should
be used, their limitations, and how the results of such analyses are to be
displayed.
Since the last edition, medical statistics has faced a number of challenges.
One of the main ones is the problem of replication. A study is published,
with a significant P‐value, but another study addressing the same research
question fails to replicate this result. This can often cause consternation
amongst among readers of research. We discuss this issue in Chapter 18 on
Meta‐analysis. A related issue is the mis‐use of P‐values. This has been a
major discussion point in the research community and we include this in
our coverage of P‐values in Chapter 6.