A variety of graphical approaches have been used to visually portray a
nd analyze temporal trends, especially annual rates of change, in dise
ase rates. In reviewing their own work, the authors have found that th
ey could improve on their graphical presentations by choosing an arith
metic or logarithmic scale according to the research question being ad
dressed, by selecting scaling ratios of the axes that allow one to det
ect specific rates of change, and by using uniform scaling ratios to f
acilitate comparisons across graphs. Different presentations of the sa
me data can result in different impressions. The authors used rates ov
er a 40-year period to illustrate the concepts involved and to investi
gate the portrayal of various rates of change. These principles extend
to the plotting of odds ratios or relative risks, where the choice of
an arithmetic rather than a logarithmic axis also can result in a mis
leading plot. The authors conclude that a graph should be designed and
studied with care, clearly reflect the truth, convey information, and
make a point without overemphasizing. For the particular problem addr
essed here, displaying temporal trends in disease rates, they see adva
ntages in justifiable uniformity. Attention to plotting techniques in
the epidemiologic and medical literature should be encouraged.