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p53 has emerged as a key tumor suppressor and important target for novel cancer therapy. This book, written by world-leading p53 researchers including many of those who have shaped the field over the past 25 years, provides unique insights into the progress of the field and the prospects for better cancer diagnosis and therapy in the future.
Biostatistical Methods focuses on the assessment of risks and relative risks on the basis of clinical investigations. It develops basic concepts and derives biostatistical methods through both the application of classical mathematical statistical tools and more modern likelihood–based theories.
The processes of tumor metastasis, apoptosis and anti-tumor immune response are among the most complex yet rapidly advancing fields in the area of cancer research. This monograph, with its leading authorship, presents a comprehensive coverage of the recent advances in the various key concepts in these fundamental aspects of human cancer.
Describes the quantitative research process–framing analytical questions, developing a comprehensive outline, providing a roadmap for the reader, and accessing indispensable computer and program tools. Supplies end-of-chapter checklists, extensive examples, and biobliographies.
Handbook of Survival Analysis presents modern techniques and research problems in lifetime data analysis. This area of statistics deals with time-to-event data that is complicated by censoring and the dynamic nature of events occurring in time.With chapters written by leading researchers in the field, the handbook focuses on advances in survival analysis techniques, covering classical and Bayesian approaches. It gives a complete overview of the current status of survival analysis and should inspire further research in the field.
Using real data sets throughout, Survival Analysis in Medicine and Genetics introduces the latest methods for analyzing high-dimensional survival data. It provides thorough coverage of recent statistical developments in the medical and genetics fields.The text mainly addresses special concerns of the survival model. After covering the fundamentals, it discusses interval censoring, nonparametric and semiparametric hazard regression, multivariate survival data analysis, the sub-distribution method for competing risks data, the cure rate model, and Bayesian inference methods.
In this revised and expanded second edition, seasoned experts describe in step-by-step detail their best state-of-the-art techniques for studying neuronal cell death. These readily reproducible methods solve a wide variety of research problems, including the detection of the key proteins involved in neuronal apoptosis (Bax protein, cytochrome c, and caspases), the direct assessment of the role of pro-apoptotic proteins in neurons by viral infections and microinjections, and the detection of pro-apoptotic proteins in situ.
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