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Statistical Methods in Medical Research 4ed

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group could be assigned to a patient who dropped out. In the analysis, a broad<br />

categorical response category should then <strong>in</strong>clude all patients with that score or<br />

worse. Treatment groups are then compared by the Mann±Whitney test (§10.3).<br />

Devices of this type may be useful, even unavoidable, if crucial responses are<br />

miss<strong>in</strong>g, but they <strong>in</strong>volve the sacrifice of <strong>in</strong>formation, and estimation may be<br />

biased. The best solution is to avoid withdrawals as far as possible by careful<br />

advance plann<strong>in</strong>g.<br />

Compliance<br />

The term compliance may imply adherence to all the protocol requirements. In<br />

drug trials it usually refers more specifically to the <strong>in</strong>gestion of the drug at the<br />

prescribed times and <strong>in</strong> the prescribed quantities.<br />

The effects of non-compliance <strong>in</strong> the broad sense have been discussed throughout<br />

this section. They are multifarious and difficult to quantify. Nevertheless,<br />

attempts have been made to model non-compliance <strong>in</strong> some very simple situations,<br />

which we describe below. The aim here is to estimate the effect of noncompliance<br />

on treatment comparisons, and hence to go beyond an ITT approach<br />

to the estimation of treatment effects.<br />

The narrower sense of drug compliance is somewhat more amenable to<br />

modell<strong>in</strong>g, s<strong>in</strong>ce the proportion of the scheduled amount of drug that was<br />

actually taken can often be estimated by patient reports, counts of returned<br />

tablets, serum concentrations, etc. Models for this situation are described<br />

later.<br />

A simple model for non-compliance is described by Sommer and Zeger<br />

(1991) and attributed by them to Tarwotjo et al. (1987). It relates to a trial of<br />

an active treatment aga<strong>in</strong>st a control, with a b<strong>in</strong>ary outcome of success or failure.<br />

Non-compliers may form part of each group, but are likely to form different<br />

proportions and to be different <strong>in</strong> prognostic characteristics. The analysis concentrates<br />

on the subgroup of compliers <strong>in</strong> the treatment group. The proportion<br />

of successes <strong>in</strong> this subgroup is observed, and the aim of the analysis is to<br />

estimate the proportion of successes that would have been observed <strong>in</strong> that<br />

subgroup if those patients had received the control treatment. The key assumption<br />

is that this proportion is the same (apart from random error) as the<br />

proportion of successes observed <strong>in</strong> the control group. The calculations are<br />

illustrated <strong>in</strong> Example 18.1.<br />

Example 18.1<br />

18.6 Protocol departures 609<br />

Table 18.1 shows results from a trial of vitam<strong>in</strong> A supplementation to reduce mortality<br />

over an 8-month period among preschool children <strong>in</strong> rural Indonesia, reported by<br />

Tarwotjo et al. (1987) and discussed by Sommer and Zeger (1991).

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