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Clinical and statistical considerations in personalized medicine /

"Personalized medicine has the potential to change the way we think about, identify, and manage health problems. In the pharmaceutical industry, it is already having an exciting impact on both clinical research and patient care. This impact will continue to grow as our understanding and technol...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Carini, Claudio (Editor ), Menon, Sandeep M. (Editor ), Chang, Mark (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boca Raton, FL : CRC Press/Taylor & Francis, 2014.
Colección:Chapman & Hall/CRC biostatistics series.
Temas:
Acceso en línea:Texto completo

MARC

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245 0 0 |a Clinical and statistical considerations in personalized medicine /  |c edited by Claudio Carini, Sandeep M. Menon, Mark Chang. 
264 1 |a Boca Raton, FL :  |b CRC Press/Taylor & Francis,  |c 2014. 
264 4 |c ©20 
300 |a 1 online resource (xvi, 358 pages) :  |b illustrations 
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490 1 |a Chapman & Hall/CRC biostatistics series 
520 |a "Personalized medicine has the potential to change the way we think about, identify, and manage health problems. In the pharmaceutical industry, it is already having an exciting impact on both clinical research and patient care. This impact will continue to grow as our understanding and technologies improve. With contributions from wellknown industry leaders in clinical development, this book covers the practical aspects of personalized medicine, focusing on issues that have direct application in the industry. Topics include designs for targeted therapy, adaptive designs, evidencebased adaptive statistical decisions, and design strategies for maximizing the efficiency of clinical oncology"--  |c Provided by publisher 
520 |a "Preface The successful utilization of biomarkers in clinical development and, indeed, realization of personalized medicine require a close collaboration among different stakeholders: clinicians, biostatisticians, regulators, commercial colleagues, and so on. For this reason, we invited experts from different fields of expertise to address the opportunities and challenges, and discuss recent advancements related to biomarkers and their translation into clinical development. The first four chapters discuss biomarker development from a clinical perspective ranging from introduction to biomarkers to recent advances in RNAi screens, epigenetics, and rare disease as targets for personalized medicine approaches. Chapters 5 through 10 are devoted to considerations from a statistical perspective, and the last chapter addresses the regulatory issues in biomarker utilization. A biomarker is a characteristic that can be objectively measured and evaluated as an indicator of a physiological as well as pathological process or response to a therapeutic intervention. Although there is nothing new about biomarkers such as glucose for diabetes and blood pressure for hypertension, the current focus on molecular biomarkers has taken the center stage in the development of molecular medicine. Molecular diagnostic technologies have enabled the discovery of molecular biomarkers and are assisting in the definition of the pathogenic mechanism of diseases. Biomarkers represent the basis of the development of diagnostic assays as well as the target for drug discovery. Biomarkers can help monitoring drugs effect in clinical trials as well as in clinical practice"--  |c Provided by publisher 
504 |a Includes bibliographical references and index. 
588 0 |a Print version record. 
505 0 |a Front Cover; Contents; Preface; Editors; Contributors; Chapter 1: Biomarkers for Drug Development: The Time Is Now!; Chapter 2: RNAi Screens: Triumphs and Tribulations; Chapter 3: Current Advances in Epigenetics; Chapter 4: Biomarkers and Precision Medicine: The Case of Rare Diseases; Chapter 5: Biomarker-Informed Adaptive Design; Chapter 6: Fitting the Dose: Adaptive Staggered Dose Design; Chapter 7: Evidence-Based Adaptive Statistical Decision and Design Strategies for; Chapter 8: Biomarker Identification in Clinical Trials; Chapter 9: Multiplicity in Pharmacogenomics. 
505 8 |a Chapter 10: Patient-Reported Outcomes in Personalized MedicineChapter 11: Regulatory Issues in Use of Biomarkers in Drug Development; Back Cover. 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Pharmacogenetics  |x Statistical methods. 
650 0 |a Pharmacogenetics  |x Mathematical models. 
650 0 |a Pharmacogenomics  |x Statistical methods. 
650 0 |a Pharmacogenomics  |x Mathematical models. 
650 0 |a Biochemical markers. 
650 2 |a Pharmacogenetics  |x methods 
650 2 |a Biostatistics 
650 2 |a Biomarkers 
650 6 |a Pharmacogénétique  |x Méthodes statistiques. 
650 6 |a Pharmacogénétique  |x Modèles mathématiques. 
650 6 |a Pharmacogénomique  |x Méthodes statistiques. 
650 6 |a Pharmacogénomique  |x Modèles mathématiques. 
650 6 |a Marqueurs biologiques. 
650 7 |a MATHEMATICS  |x Probability & Statistics  |x General.  |2 bisacsh 
650 7 |a MEDICAL  |x Internal Medicine.  |2 bisacsh 
650 7 |a MEDICAL  |x Pharmacology.  |2 bisacsh 
650 7 |a Biochemical markers  |2 fast 
700 1 |a Carini, Claudio,  |e editor. 
700 1 |a Menon, Sandeep M.,  |e editor. 
700 1 |a Chang, Mark,  |e editor. 
758 |i has work:  |a Clinical and statistical considerations in personalized medicine (Text)  |1 https://id.oclc.org/worldcat/entity/E39PCGFhkpBJf4X4rR8dPCM7BK  |4 https://id.oclc.org/worldcat/ontology/hasWork 
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830 0 |a Chapman & Hall/CRC biostatistics series. 
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