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Statistical Methods in Medical Research 4ed

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Preface to the fourth edition<br />

In the prefaces to the first three editions of this book, we set out our aims<br />

as follows: to gather together the majority of statistical techniques that are<br />

used at all frequently <strong>in</strong> medical research, and to describe them <strong>in</strong> terms accessible<br />

to the non-mathematician. We expressed a hope that the book would<br />

have two special assets, dist<strong>in</strong>guish<strong>in</strong>g it from other books on applied statistics:<br />

the use of examples selected almost entirely from medical research projects,<br />

and a choice of statistical topics reflect<strong>in</strong>g the extent of their usage <strong>in</strong> medical<br />

research.<br />

These aims are equally relevant for this new edition. The steady sales of<br />

the earlier editions suggest that there was a gap <strong>in</strong> the literature which this<br />

book has to some extent filled. Why then, the reader may ask, is a new edition<br />

needed? The answer is that medical statistics (or, synonymously, biostatistics) is<br />

an expand<strong>in</strong>g subject, with a cont<strong>in</strong>ually develop<strong>in</strong>g body of techniques, and<br />

a steadily grow<strong>in</strong>g number of practitioners, especially <strong>in</strong> medical research<br />

organizations and the pharmaceutical <strong>in</strong>dustry, play<strong>in</strong>g an <strong>in</strong>creas<strong>in</strong>gly <strong>in</strong>fluential<br />

role <strong>in</strong> medical research. New methods, new applications and chang<strong>in</strong>g<br />

attitudes call for a fresh approach to the exposition of our subject.<br />

The first three editions followed much the same <strong>in</strong>frastructure, with little<br />

change to the orig<strong>in</strong>al sequence of chaptersÐessentially an evolutionary<br />

approach to the <strong>in</strong>troduction of new topics. In plann<strong>in</strong>g this fourth edition<br />

we decided at an early stage that the structure previously adopted had<br />

already been stretched to its limits. Many topics previously added wherever<br />

they would most conveniently fit could be handled better by a more radical<br />

rearrangement. The chang<strong>in</strong>g face of the subject demanded new chapters<br />

for topics now be<strong>in</strong>g treated at much greater length, and several areas of<br />

methodology still under active development needed to be described much more<br />

fully.<br />

The pr<strong>in</strong>cipal changes from the third edition can be summarized as follows.<br />

. Material on descriptive statistics is brought together <strong>in</strong> Chapter 2, follow<strong>in</strong>g a<br />

very brief <strong>in</strong>troductory Chapter 1.<br />

. The basic results on sampl<strong>in</strong>g variation and <strong>in</strong>ference for means, proportions<br />

and other simple measures are presented, <strong>in</strong> Chapters 4 and 5, <strong>in</strong> a more<br />

homogeneous way. For example, the important results for a mean are treated<br />

together <strong>in</strong> §4.2, rather than be<strong>in</strong>g split, as before, across two chapters.<br />

ix

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