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Statistical Methods in Medical Research 4ed

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310 Analys<strong>in</strong>g non-normal data<br />

mG ˆ antilog(E(log X)). If ln X is exactly normal (i.e. X has a log-normal<br />

distribution), with mean and standard deviation on the log scale of mL and sL,<br />

the geometric mean of X is exp…mL† whereas the arithmetic mean is exp<br />

…mL† exp…1 2 s2L †, which exceeds the geometric mean, as is always the case. As<br />

mL is the median of ln X, exp…mL† is also the median of X.<br />

Differences between arithmetic means on the log scale, for example differences<br />

between treatment groups, will estimate differences between logged geometric<br />

means; so, for example, when compar<strong>in</strong>g groups 1 and 2, the difference <strong>in</strong><br />

arithmetic means on the log scale will estimate<br />

log mG…Group 1† log mG…Group 2† ˆlog mG…Group 1†<br />

mG…Group 2† :<br />

Thus, the antilog of the differences of the arithmetic means on the log scale<br />

estimates a ratio of geometric means.<br />

While the antilogs of arithmetic means computed on the log scale are readily<br />

<strong>in</strong>terpreted, there is no straightforward <strong>in</strong>terpretation available for the antilog of<br />

the standard deviation of the log Xi. If confidence <strong>in</strong>tervals for geometric means<br />

or ratios of geometric means are required, then the usual confidence <strong>in</strong>tervals<br />

should be computed on the log scale. Tak<strong>in</strong>g antilogs of the ends of these<br />

<strong>in</strong>tervals will yield confidence <strong>in</strong>tervals on the orig<strong>in</strong>al scale or for the ratio.<br />

Example 10.10<br />

The treatment of some sk<strong>in</strong> diseases <strong>in</strong>volves expos<strong>in</strong>g patients to doses of ultraviolet<br />

radiation. Too high a dose of radiation will burn the patient, so before treatment<br />

commences it is important to expose small areas of sk<strong>in</strong> to <strong>in</strong>creas<strong>in</strong>g doses to establish<br />

at what dose a patient will burn. The m<strong>in</strong>imum dose which just causes redden<strong>in</strong>g of the<br />

sk<strong>in</strong> is known as the m<strong>in</strong>imum phototoxic dose, MPD (<strong>in</strong> J=cm 2 ). Data on MPD were<br />

collected from 51 patients with fair sk<strong>in</strong>s and from 44 patients with darker sk<strong>in</strong> (categorized<br />

us<strong>in</strong>g standard dermatological criteria): the data have k<strong>in</strong>dly been made available by<br />

Dr P.M. Farr. The mean and standard deviations are:<br />

Arithmetic mean (J=cm 2 ) Standard deviation (J=cm 2 )<br />

Fairer sk<strong>in</strong> 2 60 2 52<br />

Darker sk<strong>in</strong> 3 34 3 56<br />

While patients with fairer sk<strong>in</strong> appear to burn at lower doses, it is also clear that the data<br />

are far from normally distributed. Negative MPDs are impossible and the standard<br />

deviations are approximately equal to the means. This hampers formal assessment of<br />

the difference between the groups. Tak<strong>in</strong>g logarithms, to base 10, and comput<strong>in</strong>g means<br />

and standard deviations of the logged values gives the second and third columns of the<br />

follow<strong>in</strong>g table. MPD has been extensively studied and there is good external evidence

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