Gehlbach's single-author volume handles much the same topics as those
that evidence-based medicine has dealt with. There are 13 chapters spread
over 296 pages. Study design and its variations, measurements, significance,
and interpretation occupy the bulk of the book. Five chapters deal with the
design and methods of data collection. The discussions are extensive, starting
with simple background, block diagrams of prospective and retrospective designs,
and liberal and repeated analyses of published articles and their merits and
weaknesses. One chapter, new to this edition, explains how before-and-after
trials or time-series trials are an alternative for "real-world" situations
in which randomized studies are difficult. Next are four chapters devoted
to statistical testing, the null hypothesis, confidence intervals, errors,
correlation, regression, sensitivity, specificity, and predictive values.
We find a good analysis of types of data sets, especially categorical and
continuous. The remainder of the book deals with risk and causation, their
measurement and interpretation. Introductory and concluding pages contain
general tips about reading articles, editorials, reviews, and letters.