Statistical Estimation Of Epidemiological Risk
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| Author | : Kung-Jong Lui |
| Publisher | : John Wiley & Sons |
| Total Pages | : 212 |
| Release | : 2004-04-02 |
| Genre | : Mathematics |
| ISBN | : 0470094079 |
Statistical Estimation of Epidemiological Risk provides coverage of the most important epidemiological indices, and includes recent developments in the field. A useful reference source for biostatisticians and epidemiologists working in disease prevention, as the chapters are self-contained and feature numerous real examples. It has been written at a level suitable for public health professionals with a limited knowledge of statistics. Other key features include: Provides comprehensive coverage of the key epidemiological indices. Includes coverage of various sampling methods, and pointers to where each should be used. Includes up-to-date references and recent developments in the field. Features many real examples, emphasising the practical nature of the book. Each chapter is self-contained, allowing the book to be used as a useful reference source. Includes exercises, enabling use as a course text.
| Author | : Nicholas P. Jewell |
| Publisher | : CRC Press |
| Total Pages | : 376 |
| Release | : 2003-08-26 |
| Genre | : Medical |
| ISBN | : 0203496868 |
Statistical ideas have been integral to the development of epidemiology and continue to provide the tools needed to interpret epidemiological studies. Although epidemiologists do not need a highly mathematical background in statistical theory to conduct and interpret such studies, they do need more than an encyclopedia of "recipes." Statistics for Epidemiology achieves just the right balance between the two approaches, building an intuitive understanding of the methods most important to practitioners and the skills to use them effectively. It develops the techniques for analyzing simple risk factors and disease data, with step-by-step extensions that include the use of binary regression. It covers the logistic regression model in detail and contrasts it with the Cox model for time-to-incidence data. The author uses a few simple case studies to guide readers from elementary analyses to more complex regression modeling. Following these examples through several chapters makes it easy to compare the interpretations that emerge from varying approaches. Written by one of the top biostatisticians in the field, Statistics for Epidemiology stands apart in its focus on interpretation and in the depth of understanding it provides. It lays the groundwork that all public health professionals, epidemiologists, and biostatisticians need to successfully design, conduct, and analyze epidemiological studies.
| Author | : Steve Selvin |
| Publisher | : Oxford University Press |
| Total Pages | : 524 |
| Release | : 2004-05-13 |
| Genre | : Medical |
| ISBN | : 9780199771448 |
Analytic procedures suitable for the study of human disease are scattered throughout the statistical and epidemiologic literature. Explanations of their properties are frequently presented in mathematical and theoretical language. This well-established text gives readers a clear understanding of the statistical methods that are widely used in epidemiologic research without depending on advanced mathematical or statistical theory. By applying these methods to actual data, Selvin reveals the strengths and weaknesses of each analytic approach. He combines techniques from the fields of statistics, biostatistics, demography and epidemiology to present a comprehensive overview that does not require computational details of the statistical techniques described. For the Third Edition, Selvin took out some old material (e.g. the section on rarely used cross-over designs) and added new material (e.g. sections on frequently used contingency table analysis). Throughout the text he enriched existing discussions with new elements, including the analysis of multi-level categorical data and simple, intuitive arguments that exponential survival times cause the hazard function to be constant. He added a dozen new applied examples to illustrate such topics as the pitfalls of proportional mortality data, the analysis of matched pair categorical data, and the age-adjustment of mortality rates based on statistical models. The most important new feature is a chapter on Poisson regression analysis. This essential statistical tool permits the multivariable analysis of rates, probabilities and counts.
| Author | : Hardeo Sahai |
| Publisher | : CRC Press |
| Total Pages | : 350 |
| Release | : 1995-12-21 |
| Genre | : Mathematics |
| ISBN | : 9780849394447 |
Epidemiologic studies provide research strategies for investigating public health and scientific questions relating to the factors that cause and prevent ailments in human populations. Statistics in Epidemiology: Methods, Techniques and Applications presents a comprehensive review of the wide range of principles, methods and techniques underlying prospective, retrospective and cross-sectional approaches to epidemiologic studies. Written for epidemiologists and other researchers without extensive backgrounds in statistics, this new book provides a clear and concise description of the statistical tools used in epidemiology. Emphasis is given to the application of these statistical tools, and examples are provided to illustrate direct methods for applying common statistical techniques in order to obtain solutions to problems. Statistics in Epidemiology: Methods, Techniques and Applications goes beyond the elementary material found in basic epidemiology and biostatistics books and provides a detailed account of techniques:
| Author | : Antony Stewart |
| Publisher | : CRC Press |
| Total Pages | : 217 |
| Release | : 2022-02-03 |
| Genre | : Medical |
| ISBN | : 1000506304 |
This straightforward primer in basic statistics and epidemiology emphasises their practical use in healthcare and public health, providing understanding of essential topics such as study design, data analysis and statistical methods used in the execution of medical research. Assuming no prior knowledge, the clarity of the text and care of presentation ensure those new to, or challenged by, these topics are given a thorough introduction without being overwhelmed by unnecessary detail. Key features: Provides an excellent grounding in the basics of both statistics and epidemiology Full step-by-step guidance on performing statistical calculations Numerous examples and exercises with detailed answers to help readers navigate these complex subjects with ease and confidence Enables students and practitioners to make sense of the many research studies that underpin evidence-based practice Fully revised and updated for this fifth edition, now with additional exercises and question and answers online for self-testing An understanding and appreciation of statistics is central to ensuring that professional practice is based on the best available evidence, in order to best treat and help the wider community. Reading this book will help students, researchers, doctors, nurses, and health managers to understand and apply the tools of statistics and epidemiology to their own practice.
| Author | : Mark Woodward |
| Publisher | : CRC Press |
| Total Pages | : 728 |
| Release | : 1999-05-25 |
| Genre | : Mathematics |
| ISBN | : 9781584880097 |
Epidemiology is a subject of growing importance, as witnessed by its role in the description and prediction of the impact of new diseases such as AIDS and new-variant CJD. Epidemiology: Study Design and Data Analysis covers the whole spectrum of standard analytical techniques used in epidemiology, from descriptive techniques in report writing to model diagnostics from generalized linear models. The author discusses the advantages, disadvantages, and alternatives to case-control, cohort and intervention studies and details such crucial concepts as incidence, prevalence, confounding and interaction. Many exercises are provided, based on real epidemiological data sets collected from all over the world. The data sets are also available on an associated web site. Epidemiology: Study Design and Data Analysis will be an invaluable textbook for statistics and medical students studying epidemiology, and a standard reference for practicing epidemiologists.
| Author | : Donna F. Stroup Ph.D, M.Sc. |
| Publisher | : Oxford University Press |
| Total Pages | : 252 |
| Release | : 1998-07-16 |
| Genre | : Medical |
| ISBN | : 9780199771332 |
Public health strives to improve the health of human populations, and prevent disease, disability, and death. Statistics--the science of finding underlying patterns by analyzing variability and errors in collected data--is essential to the understanding of disease patterns in human populations. Other quantitative methods, such as economics, decision theory, and mathematics, now constitute integral parts of the scientific basis for priority-setting and evaluation in public health. This book provides a broad conceptual treatment of the statistical issues underlying core public health functions: outbreak investigations, policy development, economic and program evaluation, managed care, and program operations. The theoretical analysis is illustrated with examples from public health practice. For readers interested in a more detailed treatment, there are extensive references to specialized publications. The authors present a series of quantitative approaches that significantly help public health professionals solve the problems they confront in their day-to-day work. Unlike traditional how-to books in statistics, this volume starts with an overview of the range of problems encountered in public health practice, and then presents methods for facilitating decision making. Statistics in Public Health: Quantitative Approaches to Public Health Problems will serve as a comprehensive desk reference for public health practitioners and as a teaching text for students of public health.
| Author | : David Clayton |
| Publisher | : Oxford University Press, USA |
| Total Pages | : 376 |
| Release | : 2013-01-17 |
| Genre | : Mathematics |
| ISBN | : 0199671184 |
This self-contained account of the statistical basis of epidemiology has been written for those with a basic training in biology. It is specifically intended for students enrolled for a masters degree in epidemiology, clinical epidemiology, or biostatistics.
| Author | : Robert Hirsch |
| Publisher | : Springer Nature |
| Total Pages | : 115 |
| Release | : 2023-09-10 |
| Genre | : Science |
| ISBN | : 3031419146 |
This book addresses the description and analysis of occurrence data frequently encountered in epidemiological studies. With the occurrence of Covid-19, people have been exposed to the analysis and interpretation of epidemiological data. To be informed consumers of this information, people need to understand the nature and analysis of these data. Effort is made to emphasize concepts rather than mathematics. Subjects range from description of the frequencies of disease to the analysis of associations between the occurrence of disease and exposure. Those analyses begin with simple associations and work up to complex relationships that involve the control of extraneous characteristics. Analyses rely on the statistical software R, which is freeware in wide use by professional epidemiologists and other scientists.
| Author | : Donald R. McNeil |
| Publisher | : John Wiley & Sons |
| Total Pages | : 320 |
| Release | : 1996-08-06 |
| Genre | : Mathematics |
| ISBN | : 9780471961963 |
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.
