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Fundamental Mathematics For Epidemiology Study
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Book Synopsis Fundamental Mathematics for Epidemiology Study by : Ray M. Merrill
Download or read book Fundamental Mathematics for Epidemiology Study written by Ray M. Merrill and published by Jones & Bartlett Learning. This book was released on 2018-09-05 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the first of its kind, this book reviews fundamental math concepts and procedures for epidemiology. Students will learn how to connect the math principles and procedures to the epidemiologic study designs. They will also will gain opportunities to apply the math principles to real-life problems and case studies.
Download or read book Epidemiology written by Mark Woodward and published by Chapman and Hall/CRC. This book was released on 2004-11-29 with total page 872 pages. Available in PDF, EPUB and Kindle. Book excerpt: Building an up-to-date understanding of the methodologies that can be used to shape public health policies, Epidemiology: Study Design and Data Analysis, Second Edition encompasses the study of epidemiology from the observation of associations between risk factors and disease to the use of practical, data-supported analyses. It presents study designs commonly used for a wide range of purposes, and covers the spectrum of statistical principles and analytical tools used in epidemiological research, such as techniques used in report writing, descriptive analyses, statistical models and synthesis of evidence. New Material in This Edition Includes: Systematic evaluation Meta-analysis Regression dilution Case-cohort studies Case-crossover studies Pooled logistic regression Companion Web site containing data sets for examples and exercises, SAS and Stata code for examples, a sample size calculator, and a SAS floating absolute risk macro The second edition of a popular textbook, this book emphasizes quantitative and design aspects of epidemiological research. The author favors the use of basic mathematics and practical methods over complicated mathematical proofs, making this an ideal textbook that is comprehensive yet accessible to graduate students in epidemiology, statistics, public health studies, and/or medical research.
Book Synopsis Clinical Epidemiology & Evidence-Based Medicine by : David L. Katz
Download or read book Clinical Epidemiology & Evidence-Based Medicine written by David L. Katz and published by SAGE. This book was released on 2001-08-21 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using clinical examples and citing liberally from the peer-reviewed literature, this book shows how statistical priniciples can improve medical decisions.
Book Synopsis Fundamentals of Epidemiology by : Lauren Christiansen-Lindquist, PhD, MPH
Download or read book Fundamentals of Epidemiology written by Lauren Christiansen-Lindquist, PhD, MPH and published by Springer Publishing Company. This book was released on 2024-01-22 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fundamentals of Epidemiology is a foundational resource that equips students with a strong understanding of both the principles and real-world applications of the science of public health. Its applied approach, demonstrating epidemiological concepts in action in a variety of different settings, uniquely prepares students for the challenges and exciting opportunities of this dynamic field. This engaging textbook cultivates a strong knowledge base through an explanation of the history of epidemiology and its core concepts, while providing a framework for critical thinking about public health topics. Other foundational concepts are then described and explored in the context of the real world, including descriptive epidemiology and surveillance, analytic epidemiology, study designs, effect measure modification, systematic and random error, and data analysis and modeling. Building from chapter to chapter, the textbook reinforces key concepts and their applications to the field while also confronting common mistakes that new learners of epidemiology make head-on. This textbook incorporates thoughtful public health examples, scenarios, and descriptions that foster the investigative mindset and problem-solving approach that is needed in epidemiology. With abundant illustrations, historical vignettes, case examples, and practice problems covering topics such as social determinants of health, infectious disease, applications of epidemiology to policy and more, this inviting textbook prepares students to think like an epidemiologist, equipping them with the fundamentals essential for careers in public health, medicine, nursing, and other health professions. Key Features Provides a more logical sequence for learning epidemiology, with iterative learning strategies aimed at reinforcing key concepts Includes an in-depth focus on surveillance and descriptive epidemiology Discusses causality, counterfactual thinking, and exchangeability at a level appropriate for new learners of epidemiology Provides problem-based learning examples that encompass diverse settings and populations, and links to other health disciplines (health policy, health economics, behavioral sciences, environmental health) Presents visuals in a consistent manner to foster a sound understanding of the core epidemiological principles Purchase includes digital access for use on most mobile devices or computers, and qualified instructors also have access to a full suite of instructor resources
Book Synopsis Epidemiological Research Methods by : Donald R. McNeil
Download or read book Epidemiological Research Methods written by Donald R. McNeil and published by John Wiley & Sons. This book was released on 1996-08-06 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: The concepts of epidemiology, the science that uses statistical methods to investigate associations between risk factors and disease outcomes in human populations, are developed using examples involving real data from published studies. The relevant statistical methods are developed systematically to provide an integrated approach to observational and experimental studies. After covering basic measurement, study design, and study credibility issues, the author continues with basic statistical methods and techniques for adjusting risk estimates for confounders. Statistical models including logistic regression and the proportional hazards model for survival analysis are explained in detail in the following chapters, concluding with an explanation of the general methods for determining the sample size and power requirements for an epidemiological study. Taking advantage of the power, accessibility and user-friendliness of modern computer packages, the author uses a variety of interesting data sets and graphical displays to illustrate the methods. Epidemiological Research Methods will be of interest to students and research workers who need to learn and appreciate modern approaches to the subject. Without unnecessary emphasis on mathematics or theory, the book will enable the reader to gain a greater level of understanding of the underlying methods than is normally provided in books on epidemiology.
Book Synopsis Mathematical Epidemiology by : Fred Brauer
Download or read book Mathematical Epidemiology written by Fred Brauer and published by Springer Science & Business Media. This book was released on 2008-04-30 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on lecture notes of two summer schools with a mixed audience from mathematical sciences, epidemiology and public health, this volume offers a comprehensive introduction to basic ideas and techniques in modeling infectious diseases, for the comparison of strategies to plan for an anticipated epidemic or pandemic, and to deal with a disease outbreak in real time. It covers detailed case studies for diseases including pandemic influenza, West Nile virus, and childhood diseases. Models for other diseases including Severe Acute Respiratory Syndrome, fox rabies, and sexually transmitted infections are included as applications. Its chapters are coherent and complementary independent units. In order to accustom students to look at the current literature and to experience different perspectives, no attempt has been made to achieve united writing style or unified notation. Notes on some mathematical background (calculus, matrix algebra, differential equations, and probability) have been prepared and may be downloaded at the web site of the Centre for Disease Modeling (www.cdm.yorku.ca).
Book Synopsis Mathematical Epidemiology by : Fred Brauer
Download or read book Mathematical Epidemiology written by Fred Brauer and published by Springer. This book was released on 2008-04-13 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on lecture notes of two summer schools with a mixed audience from mathematical sciences, epidemiology and public health, this volume offers a comprehensive introduction to basic ideas and techniques in modeling infectious diseases, for the comparison of strategies to plan for an anticipated epidemic or pandemic, and to deal with a disease outbreak in real time. It covers detailed case studies for diseases including pandemic influenza, West Nile virus, and childhood diseases. Models for other diseases including Severe Acute Respiratory Syndrome, fox rabies, and sexually transmitted infections are included as applications. Its chapters are coherent and complementary independent units. In order to accustom students to look at the current literature and to experience different perspectives, no attempt has been made to achieve united writing style or unified notation. Notes on some mathematical background (calculus, matrix algebra, differential equations, and probability) have been prepared and may be downloaded at the web site of the Centre for Disease Modeling (www.cdm.yorku.ca).
Book Synopsis Mathematical Models in Population Biology and Epidemiology by : Fred Brauer
Download or read book Mathematical Models in Population Biology and Epidemiology written by Fred Brauer and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of this book is to search for a balance between simple and analyzable models and unsolvable models which are capable of addressing important questions on population biology. Part I focusses on single species simple models including those which have been used to predict the growth of human and animal population in the past. Single population models are, in some sense, the building blocks of more realistic models -- the subject of Part II. Their role is fundamental to the study of ecological and demographic processes including the role of population structure and spatial heterogeneity -- the subject of Part III. This book, which will include both examples and exercises, is of use to practitioners, graduate students, and scientists working in the field.
Book Synopsis Introduction to Epidemiology by : Ray M. Merrill
Download or read book Introduction to Epidemiology written by Ray M. Merrill and published by Jones & Bartlett Learning. This book was released on 2024 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Designed for students with little to no background in biomedical sciences, this book teaches students the basics of Epidemiology which is a scientifically driven discipline based on systematic observation and analysis of specified populations, the primary aim of which is to identify causes and risk factors of disease, events, and behaviors to successfully prevent and control health problems"--
Book Synopsis A Historical Introduction to Mathematical Modeling of Infectious Diseases by : Ivo M. Foppa
Download or read book A Historical Introduction to Mathematical Modeling of Infectious Diseases written by Ivo M. Foppa and published by Academic Press. This book was released on 2016-10-18 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Historical Introduction to Mathematical Modeling of Infectious Diseases: Seminal Papers in Epidemiology offers step-by-step help on how to navigate the important historical papers on the subject, beginning in the 18th century. The book carefully, and critically, guides the reader through seminal writings that helped revolutionize the field. With pointed questions, prompts, and analysis, this book helps the non-mathematician develop their own perspective, relying purely on a basic knowledge of algebra, calculus, and statistics. By learning from the important moments in the field, from its conception to the 21st century, it enables readers to mature into competent practitioners of epidemiologic modeling. Presents a refreshing and in-depth look at key historical works of mathematical epidemiology Provides all the basic knowledge of mathematics readers need in order to understand the fundamentals of mathematical modeling of infectious diseases Includes questions, prompts, and answers to help apply historical solutions to modern day problems
Download or read book Epidemiology written by Mark Woodward and published by CRC Press. This book was released on 2013-12-19 with total page 844 pages. Available in PDF, EPUB and Kindle. Book excerpt: Highly praised for its broad, practical coverage, the second edition of this popular text incorporated the major statistical models and issues relevant to epidemiological studies. Epidemiology: Study Design and Data Analysis, Third Edition continues to focus on the quantitative aspects of epidemiological research. Updated and expanded, this edition shows students how statistical principles and techniques can help solve epidemiological problems. New to the Third Edition New chapter on risk scores and clinical decision rules New chapter on computer-intensive methods, including the bootstrap, permutation tests, and missing value imputation New sections on binomial regression models, competing risk, information criteria, propensity scoring, and splines Many more exercises and examples using both Stata and SAS More than 60 new figures After introducing study design and reviewing all the standard methods, this self-contained book takes students through analytical methods for both general and specific epidemiological study designs, including cohort, case-control, and intervention studies. In addition to classical methods, it now covers modern methods that exploit the enormous power of contemporary computers. The book also addresses the problem of determining the appropriate size for a study, discusses statistical modeling in epidemiology, covers methods for comparing and summarizing the evidence from several studies, and explains how to use statistical models in risk forecasting and assessing new biomarkers. The author illustrates the techniques with numerous real-world examples and interprets results in a practical way. He also includes an extensive list of references for further reading along with exercises to reinforce understanding. Web Resource A wealth of supporting material can be downloaded from the book’s CRC Press web page, including: Real-life data sets used in the text SAS and Stata programs used for examples in the text SAS and Stata programs for special techniques covered Sample size spreadsheet
Book Synopsis Mathematical Epidemiology by : Fred Brauer
Download or read book Mathematical Epidemiology written by Fred Brauer and published by Springer. This book was released on 2009-08-29 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on lecture notes of two summer schools with a mixed audience from mathematical sciences, epidemiology and public health, this volume offers a comprehensive introduction to basic ideas and techniques in modeling infectious diseases, for the comparison of strategies to plan for an anticipated epidemic or pandemic, and to deal with a disease outbreak in real time. It covers detailed case studies for diseases including pandemic influenza, West Nile virus, and childhood diseases. Models for other diseases including Severe Acute Respiratory Syndrome, fox rabies, and sexually transmitted infections are included as applications. Its chapters are coherent and complementary independent units. In order to accustom students to look at the current literature and to experience different perspectives, no attempt has been made to achieve united writing style or unified notation. Notes on some mathematical background (calculus, matrix algebra, differential equations, and probability) have been prepared and may be downloaded at the web site of the Centre for Disease Modeling (www.cdm.yorku.ca).
Book Synopsis Principles and Applications of Biostatistics by : Ray M. Merrill
Download or read book Principles and Applications of Biostatistics written by Ray M. Merrill and published by Jones & Bartlett Learning. This book was released on 2021-09-03 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Principles and Applications of Biostatistics covers the primary concepts and methods that are required for a fundamental understanding of the use and interpretation of statistics for the biological and health sciences–from data presentation to multiple regression and analysis of variance. With a focus clarity, brevity, and accuracy, this text provides understandable and focused explanation of statistical principles and applications along with practical examples (provided in R and Microsoft Excel) and problems drawn from biological health and medical settings. Key Features: • Practical questions follow each problem to encourage students to consider why the problem likely exists, help formulate hypotheses, and then statistically assess those hypotheses. • Abundant assignment problems at the end of sections and each chapter cover a variety of application areas of biostatistics. • Rationale boxes offer explanations of why certain methods are used for specific cases.
Book Synopsis Foundations of Epidemiology by : Marit L. Bovbjerg
Download or read book Foundations of Epidemiology written by Marit L. Bovbjerg and published by . This book was released on 2020-10 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: Foundations of Epidemiology is an open access, introductory epidemiology text intended for students and practitioners in public or allied health fields. It covers epidemiologic thinking, causality, incidence and prevalence, public health surveillance, epidemiologic study designs and why we care about which one is used, measures of association, random error and bias, confounding and effect modification, and screening. Concepts are illustrated with numerous examples drawn from contemporary and historical public health issues.
Book Synopsis Basic Biostatistics for Geneticists and Epidemiologists by : Robert C. Elston
Download or read book Basic Biostatistics for Geneticists and Epidemiologists written by Robert C. Elston and published by John Wiley & Sons. This book was released on 2008-11-20 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Anyone who attempts to read genetics or epidemiology research literature needs to understand the essentials of biostatistics. This book, a revised new edition of the successful Essentials of Biostatistics has been written to provide such an understanding to those who have little or no statistical background and who need to keep abreast of new findings in this fast moving field. Unlike many other elementary books on biostatistics, the main focus of this book is to explain basic concepts needed to understand statistical procedures. This Book: Surveys basic statistical methods used in the genetics and epidemiology literature, including maximum likelihood and least squares. Introduces methods, such as permutation testing and bootstrapping, that are becoming more widely used in both genetic and epidemiological research. Is illustrated throughout with simple examples to clarify the statistical methodology. Explains Bayes’ theorem pictorially. Features exercises, with answers to alternate questions, enabling use as a course text. Written at an elementary mathematical level so that readers with high school mathematics will find the content accessible. Graduate students studying genetic epidemiology, researchers and practitioners from genetics, epidemiology, biology, medical research and statistics will find this an invaluable introduction to statistics.
Book Synopsis Mathematical Models in Epidemiology by : Fred Brauer
Download or read book Mathematical Models in Epidemiology written by Fred Brauer and published by Springer Nature. This book was released on 2019-10-10 with total page 628 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a comprehensive, self-contained introduction to the mathematical modeling and analysis of disease transmission models. It includes (i) an introduction to the main concepts of compartmental models including models with heterogeneous mixing of individuals and models for vector-transmitted diseases, (ii) a detailed analysis of models for important specific diseases, including tuberculosis, HIV/AIDS, influenza, Ebola virus disease, malaria, dengue fever and the Zika virus, (iii) an introduction to more advanced mathematical topics, including age structure, spatial structure, and mobility, and (iv) some challenges and opportunities for the future. There are exercises of varying degrees of difficulty, and projects leading to new research directions. For the benefit of public health professionals whose contact with mathematics may not be recent, there is an appendix covering the necessary mathematical background. There are indications which sections require a strong mathematical background so that the book can be useful for both mathematical modelers and public health professionals.
Book Synopsis Basic Concepts in Statistics and Epidemiology by : Theodore H. MacDonald
Download or read book Basic Concepts in Statistics and Epidemiology written by Theodore H. MacDonald and published by CRC Press. This book was released on 2018-10-08 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains a Foreword by Allyson Pollock, Professor and Head, Centre for International Public Health Policy, University of Edinburgh. Healthcare students, practitioners and researchers need a sound basis for making valid statistical inferences from health data. To make the best use of statistical software, it is necessary to understand how probabilistic inference works. This book explains that, along with the various ways statistical data can be described and presented. It is designed to develop insight rather than simply the mechanical skills found in other textbooks. This book is specifically designed to underpin the concepts of statistics and epidemiology. It is practical and easy to use and is ideal for people who can feel uncomfortable with mathematics. 'Excellent. A great primer for all students and research workers engaged in learning how to use statistical ideas in public health. It sets out the core concepts and explains them clearly, using worked examples as illustration. If followed carefully, the engaged reader should be able to use the standard statistical software packages intelligently and sensitively. It will stimulate the public health student, in whatever context, and new researchers, to approach the enterprise with enhanced confidence in interpreting and coherently explaining their findings.' - Allyson Pollock, in the Foreword.
