Clinical trials have two purposes -- to treat the patients in the
trial, and to obtain information which increases our understanding
of the disease and especially how patients respond to treatment.
Statistical design provides a means to achieve both these aims,
while statistical data analysis provides methods for extracting
useful information from the trial data. Recent advances in
statistical computing have enabled statisticians to implement very
rapidly a broad array of methods which previously were either
impractical or impossible. Biostatisticians are now able to provide
much greater support to medical researchers working in both
clinical and laboratory settings. As our collective toolkit of
techniques for analyzing data has grown, it has become increasingly
difficult for biostatisticians to keep up with all the developments
in our own field. Recent Advances in Clinical Trial Design and
Analysis brings together biostatisticians doing cutting-edge
research and explains some of the more recent developments in
biostatistics to clinicians and scientists who work in clinical
trials.
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