Compliance–adjusted intervention effects in survival data
Lois G. Kim
MRC Biostatistics Unit
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Ian R. White
MRC Biostatistics Unit
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Abstract. Survival data are most frequently analyzed by the intention-to-treat
principle. However, presenting a compliance-adjusted analysis alongside the
primary analysis can provide an insight into the effect of the treatment for
those individuals actually complying with their randomized intervention.
There are a number of methods for this type of analysis. Loeys and
Goetghebeur (2003) use proportional hazards techniques to provide an
estimate of the treatment effect for compliers when compliance is measured
on an all-or-nothing scale. This methodology is here made available through
a new Stata command, stcomply.
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Lois G. Kim, Ian R. White
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stcomply, compliance, proportional hazards
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