ABSTRACT

As indicated early in Chapter 1, an adaptive design is a design that allows

adaptations or modifications to some aspects of a trial after its initiation

without undermining the validity and integrity of the trial. The adapta-

tions may include, but are not limited to, sample-size reestimation, early

stopping for efficacy or futility, response-adaptive randomization, and drop-

ping inferior treatment groups. Adaptive designs usually require unblinding

data and invoke a dependent sampling procedure. Therefore, theory behind

adaptive design is much more complicated than that behind classical design.

Validity and integrity have been strongly debated from statistical, opera-

tional, and regulatory perspectives during the past several years. However,

despite different views, most scholars and practitioners believe that adap-

tive design could prove to be an efficient tool for drug development if used

properly. The issues of validity and integrity will be discussed in depth in

Chapter 28.