2 búsqueda de la palabra clave 'Oncology'

Fundamentals of Clinical Trials / Friedman, Lawrence M (2010)  

Público ISBD Título : Fundamentals of Clinical Trials Tipo de documento: documento electrónico Autores: Friedman, Lawrence M ; SpringerLink (Online service) ; Furberg, Curt D ; DeMets, David L Editorial: New York, NY : Springer New York Fecha de publicación: 2010 Otro editor: Imprint: Springer Número de páginas: XVIII, 445 p Il.: online resource ISBN/ISSN/DL: 978-1-4419-1586-3 Idioma : Inglés (eng) Palabras clave: Statistics  Cancer  research  Public  health  Oncology  Epidemiology  for  Life  Sciences,  Medicine,  Health  Sciences  Research Clasificación: 51 Matemáticas Resumen: This is the fourth edition of a very successful textbook on clinical trials methodology, written by three recognized experts who have long and extensive experience in all areas of clinical trials. Most chapters have been revised considerably from the third edition. A chapter on ethics has been added and topics such as noninferiority and adaptive designs now receive considerable discussion. There is much new material on adverse events, adherence, data monitoring, and issues in analysis. This book is intended for the clinical researcher who is interested in designing a clinical trial and developing a protocol. It is also of value to researchers and practitioners who must critically evaluate the literature of published clinical trials and assess the merits of each trial and the implications for the care and treatment of patients. The authors use numerous examples of published clinical trials from a variety of medical disciplines to illustrate the fundamentals. The text is organized sequentially from defining the question to trial closeout. One chapter is devoted to each of the critical areas to aid the clinical trial researcher. These areas include pre-specifying the scientific questions to be tested and appropriate outcome measures, determining the organizational structure, estimating an adequate sample size, specifying the randomization procedure, implementing the intervention and visit schedules for participant evaluation, establishing an interim data and safety monitoring plan, detailing the final analysis plan, and reporting the trial results according to the pre-specified objectives. Although a basic introductory statistics course is helpful in maximizing the benefit of this book, a researcher or practitioner with limited statistical background would still find most if not all the chapters understandable and helpful. While the technical material has been kept to a minimum, the statistician may still find the principles and fundamentals presented in this text useful. This book has been successfully used for teaching courses in clinical trial methodology Nota de contenido: to Clinical Trials -- Ethical Issues -- What Is the Question? -- Study Population -- Basic Study Design -- The Randomization Process -- Blindness -- Sample Size -- Baseline Assessment -- Recruitment of Study Participants -- Data Collection and Quality Control -- Assessing and Reporting Adverse Events -- Assessment of Health-Related Quality of Life -- Participant Adherence -- Survival Analysis -- Monitoring Response Variables -- Issues in Data Analysis -- Closeout -- Reporting and Interpreting of Results -- Multicenter Trials En línea: http://dx.doi.org/10.1007/978-1-4419-1586-3 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33598 Fundamentals of Clinical Trials [documento electrónico] / Friedman, Lawrence M ; SpringerLink (Online service) ; Furberg, Curt D ; DeMets, David L . - New York, NY : Springer New York : Imprint: Springer, 2010 . - XVIII, 445 p : online resource. ISBN : 978-1-4419-1586-3 Idioma : Inglés (eng) Palabras clave: Statistics  Cancer  research  Public  health  Oncology  Epidemiology  for  Life  Sciences,  Medicine,  Health  Sciences  Research Clasificación: 51 Matemáticas Resumen: This is the fourth edition of a very successful textbook on clinical trials methodology, written by three recognized experts who have long and extensive experience in all areas of clinical trials. Most chapters have been revised considerably from the third edition. A chapter on ethics has been added and topics such as noninferiority and adaptive designs now receive considerable discussion. There is much new material on adverse events, adherence, data monitoring, and issues in analysis. This book is intended for the clinical researcher who is interested in designing a clinical trial and developing a protocol. It is also of value to researchers and practitioners who must critically evaluate the literature of published clinical trials and assess the merits of each trial and the implications for the care and treatment of patients. The authors use numerous examples of published clinical trials from a variety of medical disciplines to illustrate the fundamentals. The text is organized sequentially from defining the question to trial closeout. One chapter is devoted to each of the critical areas to aid the clinical trial researcher. These areas include pre-specifying the scientific questions to be tested and appropriate outcome measures, determining the organizational structure, estimating an adequate sample size, specifying the randomization procedure, implementing the intervention and visit schedules for participant evaluation, establishing an interim data and safety monitoring plan, detailing the final analysis plan, and reporting the trial results according to the pre-specified objectives. Although a basic introductory statistics course is helpful in maximizing the benefit of this book, a researcher or practitioner with limited statistical background would still find most if not all the chapters understandable and helpful. While the technical material has been kept to a minimum, the statistician may still find the principles and fundamentals presented in this text useful. This book has been successfully used for teaching courses in clinical trial methodology Nota de contenido: to Clinical Trials -- Ethical Issues -- What Is the Question? -- Study Population -- Basic Study Design -- The Randomization Process -- Blindness -- Sample Size -- Baseline Assessment -- Recruitment of Study Participants -- Data Collection and Quality Control -- Assessing and Reporting Adverse Events -- Assessment of Health-Related Quality of Life -- Participant Adherence -- Survival Analysis -- Monitoring Response Variables -- Issues in Data Analysis -- Closeout -- Reporting and Interpreting of Results -- Multicenter Trials En línea: http://dx.doi.org/10.1007/978-1-4419-1586-3 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33598

Ejemplares

Signatura	Medio	Ubicación	Sub-localización	Sección	Estado
ningún ejemplar

Selected Topics in Cancer Modeling / SpringerLink (Online service) ; Elena Angelis ; Mark A. J. Chaplain ; Nicola Bellomo (2008)  

Público ISBD Título : Selected Topics in Cancer Modeling : Genesis, Evolution, Immune Competition, and Therapy Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Elena Angelis ; Mark A. J. Chaplain ; Nicola Bellomo Editorial: Boston : Birkhäuser Boston Fecha de publicación: 2008 Colección: Modeling and Simulation in Science, Engineering and Technology Número de páginas: XVI, 473 p. 140 illus Il.: online resource ISBN/ISSN/DL: 978-0-8176-4713-1 Idioma : Inglés (eng) Palabras clave: Mathematics  Health  informatics  Oncology  Applied  mathematics  Engineering  Mathematical  models  Biomathematics  Modeling  and  Industrial  Informatics  Computational  Biology  Physiological,  Cellular  Medical  Topics  Applications  of Clasificación: 51 Matemáticas Resumen: A major challenge in the modeling and simulation of tumor growth is the mathematical description of living matter, which is far more complex than a mathematical description of inert matter. One critical piece of this challenge is creating multiscale models that take into account subcellular, cellular, and macroscopic levels of cancer. The complexity of these different levels requires the development of new mathematical methods and ideas, which are examined in this work. Written by first-rate researchers in the field of mathematical biology, this collection of selected chapters offers a comprehensive overview of state-of-the-art mathematical methods and tools for modeling and analyzing cancer phenomena. Topics covered include: * Genetic and epigenetic pathways to colon cancer * A game theoretical perspective on the somatic evolution of cancer * Nonlinear modeling and simulation of tumor growth * Tumor cords and their response to anticancer agents * Modeling diffusely invading brain tumors * Multiphase models of tumor growth * Mathematical modeling of breast carcinogenesis * Predictive models in tumor immunology * Multiscale modeling of solid tumor growth Selected Topics in Cancer Modeling is an excellent reference for researchers, practitioners, and graduate students in applied mathematics, mathematical biology, and related fields. The book has an overall aim of quantitative, predictive mathematical modeling of solid tumor growth at all scales, from genetics all the way through to treatment therapy for patients Nota de contenido: Genetic and Epigenetic Pathways to Colon Cancer Relating Experimental Evidence with Modeling -- From Kinetic Theory for Active Particles to Modelling Immune Competition -- Towards Microscopic and Nonlocal Models of Tumour Invasion of Tissue -- Nonlinear Renewal Equations -- A Game Theoretical Perspective on the Somatic Evolution of cancer -- Nonlinear Modeling and Simulation of Tumor Growth -- Tumour Cords and Their Response to Anticancer Agents -- Modeling Diffusely Invading Brain Tumors An Individualized Approach to Quantifying Glioma Evolution and Response to Therapy -- Multiphase Models of Tumour Growth -- The Lymphatic Vascular System in Lymphangiogenesis Invasion and Metastasis A Mathematical Approach -- M for Invasion Morphology Mutation and the Microenvironment -- Methods of Stochastic Geometry and Related Statistical Problems in the Analysis and Therapy of Tumour Growth and Tumour Driven Angiogenesis -- Mathematical Modelling of Breast Carcinogenesis, Treatment with Surgery and Radiotherapy and Local Recurrence -- Predictive Models in Tumor Immunology -- Dynamically Adaptive Tumour Induced Angiogenesis The Impact of Flow on the Developing Capillary Plexus -- Dynamic Irregular Patterns and Invasive Wavefronts The Control of Tumour Growth by Cytotoxic T Lymphocytes -- Multiscale Modelling of Solid Tumour Growth En línea: http://dx.doi.org/10.1007/978-0-8176-4713-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34280 Selected Topics in Cancer Modeling : Genesis, Evolution, Immune Competition, and Therapy [documento electrónico] / SpringerLink (Online service) ; Elena Angelis ; Mark A. J. Chaplain ; Nicola Bellomo . - Boston : Birkhäuser Boston, 2008 . - XVI, 473 p. 140 illus : online resource. - (Modeling and Simulation in Science, Engineering and Technology) . ISBN : 978-0-8176-4713-1 Idioma : Inglés (eng) Palabras clave: Mathematics  Health  informatics  Oncology  Applied  mathematics  Engineering  Mathematical  models  Biomathematics  Modeling  and  Industrial  Informatics  Computational  Biology  Physiological,  Cellular  Medical  Topics  Applications  of Clasificación: 51 Matemáticas Resumen: A major challenge in the modeling and simulation of tumor growth is the mathematical description of living matter, which is far more complex than a mathematical description of inert matter. One critical piece of this challenge is creating multiscale models that take into account subcellular, cellular, and macroscopic levels of cancer. The complexity of these different levels requires the development of new mathematical methods and ideas, which are examined in this work. Written by first-rate researchers in the field of mathematical biology, this collection of selected chapters offers a comprehensive overview of state-of-the-art mathematical methods and tools for modeling and analyzing cancer phenomena. Topics covered include: * Genetic and epigenetic pathways to colon cancer * A game theoretical perspective on the somatic evolution of cancer * Nonlinear modeling and simulation of tumor growth * Tumor cords and their response to anticancer agents * Modeling diffusely invading brain tumors * Multiphase models of tumor growth * Mathematical modeling of breast carcinogenesis * Predictive models in tumor immunology * Multiscale modeling of solid tumor growth Selected Topics in Cancer Modeling is an excellent reference for researchers, practitioners, and graduate students in applied mathematics, mathematical biology, and related fields. The book has an overall aim of quantitative, predictive mathematical modeling of solid tumor growth at all scales, from genetics all the way through to treatment therapy for patients Nota de contenido: Genetic and Epigenetic Pathways to Colon Cancer Relating Experimental Evidence with Modeling -- From Kinetic Theory for Active Particles to Modelling Immune Competition -- Towards Microscopic and Nonlocal Models of Tumour Invasion of Tissue -- Nonlinear Renewal Equations -- A Game Theoretical Perspective on the Somatic Evolution of cancer -- Nonlinear Modeling and Simulation of Tumor Growth -- Tumour Cords and Their Response to Anticancer Agents -- Modeling Diffusely Invading Brain Tumors An Individualized Approach to Quantifying Glioma Evolution and Response to Therapy -- Multiphase Models of Tumour Growth -- The Lymphatic Vascular System in Lymphangiogenesis Invasion and Metastasis A Mathematical Approach -- M for Invasion Morphology Mutation and the Microenvironment -- Methods of Stochastic Geometry and Related Statistical Problems in the Analysis and Therapy of Tumour Growth and Tumour Driven Angiogenesis -- Mathematical Modelling of Breast Carcinogenesis, Treatment with Surgery and Radiotherapy and Local Recurrence -- Predictive Models in Tumor Immunology -- Dynamically Adaptive Tumour Induced Angiogenesis The Impact of Flow on the Developing Capillary Plexus -- Dynamic Irregular Patterns and Invasive Wavefronts The Control of Tumour Growth by Cytotoxic T Lymphocytes -- Multiscale Modelling of Solid Tumour Growth En línea: http://dx.doi.org/10.1007/978-0-8176-4713-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34280

Ejemplares

Signatura	Medio	Ubicación	Sub-localización	Sección	Estado
ningún ejemplar