A clinical trial conducted according to a schedule of interim analyses
written into the protocol, and stopped according to a predetermined r
ule, is known to statisticians as a sequential clinical trial. This me
thodology is becoming more widely used in trials concerning life-threa
tening diseases because of its ability to adjust the sample size to th
e emerging information on treatment efficacy. When treatments under co
mparison differ appreciably, small samples will be sufficient; for mor
e subtle differences larger numbers of patients need to be recruited.
Sequential methods have already been used in certain cancer clinical t
rials, and they are especially appropriate for such studies. In this p
aper the principles of sample size determination are reviewed, and the
essential aspects of designing sequential trials are described. The n
ecessity for a special form of statistical analysis following a sequen
tial trial is explained. and the consequences of early or late stoppin
g on the analysis are investigated. Compromises which have to be made
between the formal requirements of theory and the practical realities
of trial conduct are discussed.