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Books > Medicine > Clinical & internal medicine > Diseases & disorders > Oncology
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Statistical Methods for Survival Trial Design - With Applications to Cancer Clinical Trials Using R (Hardcover)
Loot Price: R3,393
Discovery Miles 33 930
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Statistical Methods for Survival Trial Design - With Applications to Cancer Clinical Trials Using R (Hardcover)
Series: Chapman & Hall/CRC Biostatistics Series
Expected to ship within 12 - 17 working days
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Statistical Methods for Survival Trial Design: With Applications to
Cancer Clinical Trials Using R provides a thorough presentation of
the principles of designing and monitoring cancer clinical trials
in which time-to-event is the primary endpoint. Traditional cancer
trial designs with time-to-event endpoints are often limited to the
exponential model or proportional hazards model. In practice,
however, those model assumptions may not be satisfied for long-term
survival trials. This book is the first to cover comprehensively
the many newly developed methodologies for survival trial design,
including trial design under the Weibull survival models;
extensions of the sample size calculations under the proportional
hazard models; and trial design under mixture cure models, complex
survival models, Cox regression models, and competing-risk models.
A general sequential procedure based on the sequential conditional
probability ratio test is also implemented for survival trial
monitoring. All methodologies are presented with sufficient detail
for interested researchers or graduate students.
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