Resultado de la búsqueda
6 búsqueda de la palabra clave 'Infectious'
Refinar búsqueda Generar rss de la búsqueda
Link de la búsquedaModeling the Interplay Between Human Behavior and the Spread of Infectious Diseases / SpringerLink (Online service) ; Manfredi, Piero ; Alberto D'Onofrio (2013)
Título : Modeling the Interplay Between Human Behavior and the Spread of Infectious Diseases Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Manfredi, Piero ; Alberto D'Onofrio Editorial: New York, NY : Springer New York Fecha de publicación: 2013 Otro editor: Imprint: Springer Número de páginas: XIII, 329 p Il.: online resource ISBN/ISSN/DL: 978-1-4614-5474-8 Idioma : Inglés (eng) Palabras clave: Mathematics Immunology Chemometrics Health promotion Infectious diseases Biomathematics Physiological, Cellular and Medical Topics Math. Applications in Chemistry Promotion Disease Prevention Diseases Mathematical Computational Biology Clasificación: 51 Matemáticas Resumen: This volume summarizes the state-of-the-art in the fast growing research area of modeling the influence of information-driven human behavior on the spread and control of infectious diseases. In particular, it features the two main and inter-related “core” topics: behavioral changes in response to global threats, for example, pandemic influenza, and the pseudo-rational opposition to vaccines. The motivation comes from the fact that people are likely to change their behavior and their propensity to vaccinate themselves and their children based on information and rumors about the spread of a disease. As a consequence there is a feedback effect that may deeply affect the dynamics of epidemics and endemics. In order to make realistic predictions, modelers need to go beyond classical mathematical epidemiology to take these dynamic effects into account. With contributions from experts in this field, the book fills a void in the literature. It goes beyond classical texts, yet preserves the rationale of many of them by sticking to the underlying biology without compromising on scientific rigor. Epidemiologists, theoretical biologists, biophysicists, applied mathematicians, and PhD students will benefit from this book. However, it is also written for Public Health professionals interested in understanding models, and for advanced undergraduate students, since it only requires a working knowledge of mathematical epidemiology En línea: http://dx.doi.org/10.1007/978-1-4614-5474-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32258 Modeling the Interplay Between Human Behavior and the Spread of Infectious Diseases [documento electrónico] / SpringerLink (Online service) ; Manfredi, Piero ; Alberto D'Onofrio . - New York, NY : Springer New York : Imprint: Springer, 2013 . - XIII, 329 p : online resource.
ISBN : 978-1-4614-5474-8
Idioma : Inglés (eng)
Palabras clave: Mathematics Immunology Chemometrics Health promotion Infectious diseases Biomathematics Physiological, Cellular and Medical Topics Math. Applications in Chemistry Promotion Disease Prevention Diseases Mathematical Computational Biology Clasificación: 51 Matemáticas Resumen: This volume summarizes the state-of-the-art in the fast growing research area of modeling the influence of information-driven human behavior on the spread and control of infectious diseases. In particular, it features the two main and inter-related “core” topics: behavioral changes in response to global threats, for example, pandemic influenza, and the pseudo-rational opposition to vaccines. The motivation comes from the fact that people are likely to change their behavior and their propensity to vaccinate themselves and their children based on information and rumors about the spread of a disease. As a consequence there is a feedback effect that may deeply affect the dynamics of epidemics and endemics. In order to make realistic predictions, modelers need to go beyond classical mathematical epidemiology to take these dynamic effects into account. With contributions from experts in this field, the book fills a void in the literature. It goes beyond classical texts, yet preserves the rationale of many of them by sticking to the underlying biology without compromising on scientific rigor. Epidemiologists, theoretical biologists, biophysicists, applied mathematicians, and PhD students will benefit from this book. However, it is also written for Public Health professionals interested in understanding models, and for advanced undergraduate students, since it only requires a working knowledge of mathematical epidemiology En línea: http://dx.doi.org/10.1007/978-1-4614-5474-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32258 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar
Título : Modern Infectious Disease Epidemiology : Concepts, Methods, Mathematical Models, and Public Health Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Krämer, Alexander ; Kretzschmar, Mirjam ; Krickeberg, Klaus Editorial: New York, NY : Springer New York Fecha de publicación: 2010 Colección: Statistics for Biology and Health, ISSN 1431-8776 Número de páginas: XVI, 443 p Il.: online resource ISBN/ISSN/DL: 978-0-387-93835-6 Idioma : Inglés (eng) Palabras clave: Medicine Public health Health informatics Infectious diseases Epidemiology Biostatistics Statistics & Informatics for Life Sciences, Medicine, Sciences Diseases Clasificación: 51 Matemáticas Resumen: Hardly a day goes by without news headlines concerning infectious disease threats. Currently the spectre of a pandemic of influenza A|H1N1 is raising its head, and heated debates are taking place about the pro’s and con’s of vaccinating young girls against human papilloma virus. For an evidence-based and responsible communication of infectious disease topics to avoid misunderstandings and overreaction of the public, we need solid scientific knowledge and an understanding of all aspects of infectious diseases and their control. The aim of our book is to present the reader with the general picture and the main ideas of the subject. The book introduces the reader to methodological aspects of epidemiology that are specific for infectious diseases and provides insight into the epidemiology of some classes of infectious diseases characterized by their main modes of transmission. This choice of topics bridges the gap between scientific research on the clinical, biological, mathematical, social and economic aspects of infectious diseases and their applications in public health. The book will help the reader to understand the impact of infectious diseases on modern society and the instruments that policy makers have at their disposal to deal with these challenges. It is written for students of the health sciences, both of curative medicine and public health, and for experts that are active in these and related domains, and it may be of interest for the educated layman since the technical level is kept relatively low. The authors are internationally renowned experts in the field of infectious disease epidemiology. The editors come from different scientific backgrounds but have been devoted to research in infectious disease epidemiology for many years. Alexander Krämer is an internist and epidemiologist who co-founded the first School of Public Health in the German-speaking region of Europe at the University of Bielefeld. Mirjam Kretzschmar is a mathematician and epidemiologist with many contributions to mathematical modelling of infectious diseases and its applications for public health. Klaus Krickeberg is a mathematician with background in health information systems in developing countries Nota de contenido: I Challenges -- The Global Burden of Infectious Diseases -- Global Challenges of Infectious Disease Epidemiology -- EmergingEmerging infectious diseases and Re-emerging Infectious Diseases -- Infectious Disease Control Policies and the Role of Governmental and Intergovernmental Organisations -- II General concepts and methods -- Principles of Infectious Disease Epidemiology -- Social Risk Factors -- Molecular Typing and Clustering Analysis as a Tool for Epidemiology of Infectious Diseases -- Epidemiologic Surveillance -- Outbreak Investigations -- Geographic Information Systems -- Methods and Concepts of Epidemiology -- Mathematical Models in Infectious Disease Epidemiology -- Immunity to Infectious Diseases -- Principles and Practice of Vaccinology -- Health Economics of Infectious Diseases -- III Epidemiology of particular infectious diseases -- Airborne Transmission: Influenza and Tuberculosis -- Infectious Childhood Diarrhea in Developing Countries -- Bloodborne and Sexual Transmission: HIV/AIDS -- Blood Borne and Sexual Transmission: Hepatitis B and C -- Sexual Transmission: Chlamydia trachomatis -- Vector-Borne Transmission: Malaria, Dengue, and Yellow Fever -- Nosocomial Transmission: Methicillin-Resistant Staphylococcus aureus (MRSA) -- Infectious Diseases and Cancer: HPV En línea: http://dx.doi.org/10.1007/978-0-387-93835-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33527 Modern Infectious Disease Epidemiology : Concepts, Methods, Mathematical Models, and Public Health [documento electrónico] / SpringerLink (Online service) ; Krämer, Alexander ; Kretzschmar, Mirjam ; Krickeberg, Klaus . - New York, NY : Springer New York, 2010 . - XVI, 443 p : online resource. - (Statistics for Biology and Health, ISSN 1431-8776) .
ISBN : 978-0-387-93835-6
Idioma : Inglés (eng)
Palabras clave: Medicine Public health Health informatics Infectious diseases Epidemiology Biostatistics Statistics & Informatics for Life Sciences, Medicine, Sciences Diseases Clasificación: 51 Matemáticas Resumen: Hardly a day goes by without news headlines concerning infectious disease threats. Currently the spectre of a pandemic of influenza A|H1N1 is raising its head, and heated debates are taking place about the pro’s and con’s of vaccinating young girls against human papilloma virus. For an evidence-based and responsible communication of infectious disease topics to avoid misunderstandings and overreaction of the public, we need solid scientific knowledge and an understanding of all aspects of infectious diseases and their control. The aim of our book is to present the reader with the general picture and the main ideas of the subject. The book introduces the reader to methodological aspects of epidemiology that are specific for infectious diseases and provides insight into the epidemiology of some classes of infectious diseases characterized by their main modes of transmission. This choice of topics bridges the gap between scientific research on the clinical, biological, mathematical, social and economic aspects of infectious diseases and their applications in public health. The book will help the reader to understand the impact of infectious diseases on modern society and the instruments that policy makers have at their disposal to deal with these challenges. It is written for students of the health sciences, both of curative medicine and public health, and for experts that are active in these and related domains, and it may be of interest for the educated layman since the technical level is kept relatively low. The authors are internationally renowned experts in the field of infectious disease epidemiology. The editors come from different scientific backgrounds but have been devoted to research in infectious disease epidemiology for many years. Alexander Krämer is an internist and epidemiologist who co-founded the first School of Public Health in the German-speaking region of Europe at the University of Bielefeld. Mirjam Kretzschmar is a mathematician and epidemiologist with many contributions to mathematical modelling of infectious diseases and its applications for public health. Klaus Krickeberg is a mathematician with background in health information systems in developing countries Nota de contenido: I Challenges -- The Global Burden of Infectious Diseases -- Global Challenges of Infectious Disease Epidemiology -- EmergingEmerging infectious diseases and Re-emerging Infectious Diseases -- Infectious Disease Control Policies and the Role of Governmental and Intergovernmental Organisations -- II General concepts and methods -- Principles of Infectious Disease Epidemiology -- Social Risk Factors -- Molecular Typing and Clustering Analysis as a Tool for Epidemiology of Infectious Diseases -- Epidemiologic Surveillance -- Outbreak Investigations -- Geographic Information Systems -- Methods and Concepts of Epidemiology -- Mathematical Models in Infectious Disease Epidemiology -- Immunity to Infectious Diseases -- Principles and Practice of Vaccinology -- Health Economics of Infectious Diseases -- III Epidemiology of particular infectious diseases -- Airborne Transmission: Influenza and Tuberculosis -- Infectious Childhood Diarrhea in Developing Countries -- Bloodborne and Sexual Transmission: HIV/AIDS -- Blood Borne and Sexual Transmission: Hepatitis B and C -- Sexual Transmission: Chlamydia trachomatis -- Vector-Borne Transmission: Malaria, Dengue, and Yellow Fever -- Nosocomial Transmission: Methicillin-Resistant Staphylococcus aureus (MRSA) -- Infectious Diseases and Cancer: HPV En línea: http://dx.doi.org/10.1007/978-0-387-93835-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33527 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar
Título : Mathematical and Statistical Estimation Approaches in Epidemiology Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Chowell, Gerardo ; Hyman, James M ; Luís M. A. Bettencourt ; Castillo-Chavez, Carlos Editorial: Dordrecht : Springer Netherlands Fecha de publicación: 2009 Número de páginas: XIII, 363 p Il.: online resource ISBN/ISSN/DL: 978-90-481-2313-1 Idioma : Inglés (eng) Palabras clave: Mathematics Infectious diseases Epidemiology Probabilities Statistics Probability Theory and Stochastic Processes Biomedicine general Diseases for Life Sciences, Medicine, Health Sciences Clasificación: 51 Matemáticas Resumen: Mathematical and Statistical Estimation Approaches in Epidemiology compiles t- oretical and practical contributions of experts in the analysis of infectious disease epidemics in a single volume. Recent collections have focused in the analyses and simulation of deterministic and stochastic models whose aim is to identify and rank epidemiological and social mechanisms responsible for disease transmission. The contributions in this volume focus on the connections between models and disease data with emphasis on the application of mathematical and statistical approaches that quantify model and data uncertainty. The book is aimed at public health experts, applied mathematicians and sci- tists in the life and social sciences, particularly graduate or advanced undergraduate students, who are interested not only in building and connecting models to data but also in applying and developing methods that quantify uncertainty in the context of infectious diseases. Chowell and Brauer open this volume with an overview of the classical disease transmission models of Kermack-McKendrick including extensions that account for increased levels of epidemiological heterogeneity. Their theoretical tour is followed by the introduction of a simple methodology for the estimation of, the basic reproduction number,R . The use of this methodology 0 is illustrated, using regional data for 1918–1919 and 1968 in uenza pandemics Nota de contenido: The Basic Reproduction Number of Infectious Diseases: Computation and Estimation Using Compartmental Epidemic Models -- Stochastic Epidemic Modeling -- Two Critical Issues in Quantitative Modeling of Communicable Diseases: Inference of Unobservables and Dependent Happening -- The Chain of Infection, Contacts, and Model Parametrization -- The Effective Reproduction Number as a Prelude to Statistical Estimation of Time-Dependent Epidemic Trends -- Sensitivity of Model-Based Epidemiological Parameter Estimation to Model Assumptions -- An Ensemble Trajectory Method for Real-Time Modeling and Prediction of Unfolding Epidemics: Analysis of the 2005 Marburg Fever Outbreak in Angola -- Statistical Challenges in BioSurveillance -- Death Records from Historical Archives: A Valuable Source of Epidemiological Information -- Sensitivity Analysis for Uncertainty Quantification in Mathematical Models -- An Inverse Problem Statistical Methodology Summary -- The Epidemiological Impact of Rotavirus Vaccination Programs in the United States and Mexico -- Spatial and Temporal Dynamics of Rubella in Peru, 1997–2006: Geographic Patterns, Age at Infection and Estimation of Transmissibility -- The Role of Nonlinear Relapse on Contagion Amongst Drinking Communities En línea: http://dx.doi.org/10.1007/978-90-481-2313-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34133 Mathematical and Statistical Estimation Approaches in Epidemiology [documento electrónico] / SpringerLink (Online service) ; Chowell, Gerardo ; Hyman, James M ; Luís M. A. Bettencourt ; Castillo-Chavez, Carlos . - Dordrecht : Springer Netherlands, 2009 . - XIII, 363 p : online resource.
ISBN : 978-90-481-2313-1
Idioma : Inglés (eng)
Palabras clave: Mathematics Infectious diseases Epidemiology Probabilities Statistics Probability Theory and Stochastic Processes Biomedicine general Diseases for Life Sciences, Medicine, Health Sciences Clasificación: 51 Matemáticas Resumen: Mathematical and Statistical Estimation Approaches in Epidemiology compiles t- oretical and practical contributions of experts in the analysis of infectious disease epidemics in a single volume. Recent collections have focused in the analyses and simulation of deterministic and stochastic models whose aim is to identify and rank epidemiological and social mechanisms responsible for disease transmission. The contributions in this volume focus on the connections between models and disease data with emphasis on the application of mathematical and statistical approaches that quantify model and data uncertainty. The book is aimed at public health experts, applied mathematicians and sci- tists in the life and social sciences, particularly graduate or advanced undergraduate students, who are interested not only in building and connecting models to data but also in applying and developing methods that quantify uncertainty in the context of infectious diseases. Chowell and Brauer open this volume with an overview of the classical disease transmission models of Kermack-McKendrick including extensions that account for increased levels of epidemiological heterogeneity. Their theoretical tour is followed by the introduction of a simple methodology for the estimation of, the basic reproduction number,R . The use of this methodology 0 is illustrated, using regional data for 1918–1919 and 1968 in uenza pandemics Nota de contenido: The Basic Reproduction Number of Infectious Diseases: Computation and Estimation Using Compartmental Epidemic Models -- Stochastic Epidemic Modeling -- Two Critical Issues in Quantitative Modeling of Communicable Diseases: Inference of Unobservables and Dependent Happening -- The Chain of Infection, Contacts, and Model Parametrization -- The Effective Reproduction Number as a Prelude to Statistical Estimation of Time-Dependent Epidemic Trends -- Sensitivity of Model-Based Epidemiological Parameter Estimation to Model Assumptions -- An Ensemble Trajectory Method for Real-Time Modeling and Prediction of Unfolding Epidemics: Analysis of the 2005 Marburg Fever Outbreak in Angola -- Statistical Challenges in BioSurveillance -- Death Records from Historical Archives: A Valuable Source of Epidemiological Information -- Sensitivity Analysis for Uncertainty Quantification in Mathematical Models -- An Inverse Problem Statistical Methodology Summary -- The Epidemiological Impact of Rotavirus Vaccination Programs in the United States and Mexico -- Spatial and Temporal Dynamics of Rubella in Peru, 1997–2006: Geographic Patterns, Age at Infection and Estimation of Transmissibility -- The Role of Nonlinear Relapse on Contagion Amongst Drinking Communities En línea: http://dx.doi.org/10.1007/978-90-481-2313-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34133 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar
Título : Design and Analysis of Vaccine Studies Tipo de documento: documento electrónico Autores: Halloran, M. Elizabeth ; SpringerLink (Online service) ; Longini, Jr., Ira M ; Struchiner, Claudio J Editorial: New York, NY : Springer New York Fecha de publicación: 2010 Colección: Statistics for Biology and Health, ISSN 1431-8776 Número de páginas: XVIII, 390 p Il.: online resource ISBN/ISSN/DL: 978-0-387-68636-3 Idioma : Inglés (eng) Palabras clave: Medicine Health informatics Infectious diseases Epidemiology Statistics & Public Informatics Diseases for Life Sciences, Medicine, Sciences Clasificación: 51 Matemáticas Resumen: Widespread immunization has many different kinds of effects in individuals and populations, including in the unvaccinated individuals. The challenge is in understanding and estimating all of these effects. This book presents a unified conceptual framework of the different effects of vaccination at the individual and at the population level. The book covers many different vaccine effects, including vaccine efficacy for susceptibility, for disease, for post-infection outcomes, and for infectiousness. The book includes methods for evaluating indirect, total and overall effects of vaccination programs in populations. Topics include household studies, evaluating correlates of immune protection, and applications of casual inference. Material on concepts of infectious disease epidemiology, transmission models, casual inference, and vaccines provides background for the reader. This is the first book to present vaccine evaluation in this comprehensive conceptual framework. This book is intended for colleagues and students in statistics, biostatistics, epidemiology, and infectious diseases. Most essential concepts are described in simple language accessible to epidemiologists, followed by technical material accessible to statisticians. M. Elizabeth Halloran and Ira Longini are professors of biostatistics at the University of Washington and the Fred Hutchinson Cancer Research Center in Seattle. Claudio Struchiner is professor of epidemiology and biostatistics at the Brazilian School of Public Health of the Oswaldo Cruz Foundation in Rio de Janeiro. The authors are prominent researchers in the area. Halloran and Struchiner developed the study designs for dependent happenings to delineate indirect, total, and overall effects. Halloran has made contributions at the interface of epidemiological methods, causal inference, and transmission dynamics. Longini works in the area of stochastic processes applied to epidemiological infectious disease problems, specializing in the mathematical and statistical theory of epidemics. Struchiner has contributed to understanding the role of transmission in interpreting vaccine effects Nota de contenido: and Examples -- Overview of Vaccine Effects and Study Designs -- Immunology and Early Phase Trials -- Binomial and Stochastic Transmission Models -- and Deterministic Models -- Evaluating Protective Effects of Vaccination -- Modes of Action and Time-Varying VE -- Further Evaluation of Protective Effects -- Vaccine Effects on Post-Infection Outcomes -- Household-Based Studies -- Analysis of Households in Communities -- Analysis of Independent Households -- Assessing Indirect, Total, and Overall Effects -- Randomization and Baseline Transmission -- Surrogates of Protection En línea: http://dx.doi.org/10.1007/978-0-387-68636-3 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33498 Design and Analysis of Vaccine Studies [documento electrónico] / Halloran, M. Elizabeth ; SpringerLink (Online service) ; Longini, Jr., Ira M ; Struchiner, Claudio J . - New York, NY : Springer New York, 2010 . - XVIII, 390 p : online resource. - (Statistics for Biology and Health, ISSN 1431-8776) .
ISBN : 978-0-387-68636-3
Idioma : Inglés (eng)
Palabras clave: Medicine Health informatics Infectious diseases Epidemiology Statistics & Public Informatics Diseases for Life Sciences, Medicine, Sciences Clasificación: 51 Matemáticas Resumen: Widespread immunization has many different kinds of effects in individuals and populations, including in the unvaccinated individuals. The challenge is in understanding and estimating all of these effects. This book presents a unified conceptual framework of the different effects of vaccination at the individual and at the population level. The book covers many different vaccine effects, including vaccine efficacy for susceptibility, for disease, for post-infection outcomes, and for infectiousness. The book includes methods for evaluating indirect, total and overall effects of vaccination programs in populations. Topics include household studies, evaluating correlates of immune protection, and applications of casual inference. Material on concepts of infectious disease epidemiology, transmission models, casual inference, and vaccines provides background for the reader. This is the first book to present vaccine evaluation in this comprehensive conceptual framework. This book is intended for colleagues and students in statistics, biostatistics, epidemiology, and infectious diseases. Most essential concepts are described in simple language accessible to epidemiologists, followed by technical material accessible to statisticians. M. Elizabeth Halloran and Ira Longini are professors of biostatistics at the University of Washington and the Fred Hutchinson Cancer Research Center in Seattle. Claudio Struchiner is professor of epidemiology and biostatistics at the Brazilian School of Public Health of the Oswaldo Cruz Foundation in Rio de Janeiro. The authors are prominent researchers in the area. Halloran and Struchiner developed the study designs for dependent happenings to delineate indirect, total, and overall effects. Halloran has made contributions at the interface of epidemiological methods, causal inference, and transmission dynamics. Longini works in the area of stochastic processes applied to epidemiological infectious disease problems, specializing in the mathematical and statistical theory of epidemics. Struchiner has contributed to understanding the role of transmission in interpreting vaccine effects Nota de contenido: and Examples -- Overview of Vaccine Effects and Study Designs -- Immunology and Early Phase Trials -- Binomial and Stochastic Transmission Models -- and Deterministic Models -- Evaluating Protective Effects of Vaccination -- Modes of Action and Time-Varying VE -- Further Evaluation of Protective Effects -- Vaccine Effects on Post-Infection Outcomes -- Household-Based Studies -- Analysis of Households in Communities -- Analysis of Independent Households -- Assessing Indirect, Total, and Overall Effects -- Randomization and Baseline Transmission -- Surrogates of Protection En línea: http://dx.doi.org/10.1007/978-0-387-68636-3 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33498 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar
Título : Applying Quantitative Bias Analysis to Epidemiologic Data Tipo de documento: documento electrónico Autores: Lash, Timothy L ; SpringerLink (Online service) ; Fox, Matthew P ; Fink, Aliza K Editorial: New York, NY : Springer New York Fecha de publicación: 2009 Colección: Statistics for Biology and Health, ISSN 1431-8776 Número de páginas: XII, 192 p Il.: online resource ISBN/ISSN/DL: 978-0-387-87959-8 Idioma : Inglés (eng) Palabras clave: Medicine Public health Health informatics Infectious diseases Epidemiology Statistics Social sciences & Informatics for Life Sciences, Medicine, Sciences Methodology of the Diseases Clasificación: 51 Matemáticas Resumen: This text provides the first-ever compilation of bias analysis methods for use with epidemiologic data. It guides the reader through the planning stages of bias analysis, including the design of validation studies and the collection of validity data from other sources. Three chapters present methods for corrections to address selection bias, uncontrolled confounding, and classification errors. Subsequent chapters extend these methods to multidimensional bias analysis, probabilistic bias analysis, and multiple bias analysis. The text concludes with a chapter on presentation and interpretation of bias analysis results. Although techniques for bias analysis have been available for decades, these methods are considered difficult to implement. This text not only gathers the methods into one cohesive and organized presentation, it also explains the methods in a consistent fashion and provides customizable spreadsheets to implement the solutions. By downloading the spreadsheets (available at links provided in the text), readers can follow the examples in the text and then modify the spreadsheet to complete their own bias analyses. Readers without experience using quantitative bias analysis will be able to design, implement, and understand bias analyses that address the major threats to the validity of epidemiologic research. More experienced analysts will value the compilation of bias analysis methods and links to software tools that facilitate their projects. Timothy L. Lash is an Associate Professor of Epidemiology and Matthew P. Fox is an Assistant Professor in the Center for International Health and Development, both at the Boston University School of Public Health. Aliza K. Fink is a Project Manager at Macro International in Bethesda, Maryland. Together they have organized and presented many day-long workshops on the methods of quantitative bias analysis. In addition, they have collaborated on many papers that developed methods of quantitative bias analysis or used the methods in the data analysis Nota de contenido: Introduction, Objectives, and an Alternative -- A Guide to Implementing Quantitative Bias Analysis -- Data Sources for Bias Analysis -- Selection Bias -- Unmeasured and Unknown Confounders -- Misclassification -- Multidimensional Bias Analysis -- Probabilistic Bias Analysis -- Multiple Bias Modeling -- Presentation and Inference En línea: http://dx.doi.org/10.1007/978-0-387-87959-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33910 Applying Quantitative Bias Analysis to Epidemiologic Data [documento electrónico] / Lash, Timothy L ; SpringerLink (Online service) ; Fox, Matthew P ; Fink, Aliza K . - New York, NY : Springer New York, 2009 . - XII, 192 p : online resource. - (Statistics for Biology and Health, ISSN 1431-8776) .
ISBN : 978-0-387-87959-8
Idioma : Inglés (eng)
Palabras clave: Medicine Public health Health informatics Infectious diseases Epidemiology Statistics Social sciences & Informatics for Life Sciences, Medicine, Sciences Methodology of the Diseases Clasificación: 51 Matemáticas Resumen: This text provides the first-ever compilation of bias analysis methods for use with epidemiologic data. It guides the reader through the planning stages of bias analysis, including the design of validation studies and the collection of validity data from other sources. Three chapters present methods for corrections to address selection bias, uncontrolled confounding, and classification errors. Subsequent chapters extend these methods to multidimensional bias analysis, probabilistic bias analysis, and multiple bias analysis. The text concludes with a chapter on presentation and interpretation of bias analysis results. Although techniques for bias analysis have been available for decades, these methods are considered difficult to implement. This text not only gathers the methods into one cohesive and organized presentation, it also explains the methods in a consistent fashion and provides customizable spreadsheets to implement the solutions. By downloading the spreadsheets (available at links provided in the text), readers can follow the examples in the text and then modify the spreadsheet to complete their own bias analyses. Readers without experience using quantitative bias analysis will be able to design, implement, and understand bias analyses that address the major threats to the validity of epidemiologic research. More experienced analysts will value the compilation of bias analysis methods and links to software tools that facilitate their projects. Timothy L. Lash is an Associate Professor of Epidemiology and Matthew P. Fox is an Assistant Professor in the Center for International Health and Development, both at the Boston University School of Public Health. Aliza K. Fink is a Project Manager at Macro International in Bethesda, Maryland. Together they have organized and presented many day-long workshops on the methods of quantitative bias analysis. In addition, they have collaborated on many papers that developed methods of quantitative bias analysis or used the methods in the data analysis Nota de contenido: Introduction, Objectives, and an Alternative -- A Guide to Implementing Quantitative Bias Analysis -- Data Sources for Bias Analysis -- Selection Bias -- Unmeasured and Unknown Confounders -- Misclassification -- Multidimensional Bias Analysis -- Probabilistic Bias Analysis -- Multiple Bias Modeling -- Presentation and Inference En línea: http://dx.doi.org/10.1007/978-0-387-87959-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33910 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar Permalink
