Statistical Methods In Epidemiology

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Statistical Methods in Epidemiology

Author : Harold A. Kahn,Christopher T. Sempos
Publisher : Monographs in Epidemiology and
Page : 310 pages
File Size : 54,7 Mb
Release : 1989
Category : Medical
ISBN : 9780195050493

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Statistical Methods in Epidemiology by Harold A. Kahn,Christopher T. Sempos Pdf

This book is an expanded version of the Kahn's widely used text, An Introduction to Epidemiologic Methods (Oxford, 1983). It provides clear insight into the basic statistical tools used in epidemiology and is written so that those without advanced statistical training can comprehend the ideas underlying the analytical techniques. The authors emphasize the extent to which similar results are obtained from different methods, both simple and complex. To this edition they have added a new chapter on "Comparison of Numerical Results for Various Methods of Adjustment" and also one on "The Primacy of Data Collection." New topics include the Kaplan-Meier product-limit method and the Cox proportional hazards model for analysis of time-related outcomes. An appendix of data from the Framingham Heart Study is used to illustrate the application of various analytical methods to an identical set of real data and provides source material for student exercises. The text has been updated throughout.

Statistical Methods for Global Health and Epidemiology

Author : Xinguang Chen,(Din) Ding-Geng Chen
Publisher : Springer Nature
Page : 420 pages
File Size : 53,9 Mb
Release : 2020-04-13
Category : Medical
ISBN : 9783030352608

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Statistical Methods for Global Health and Epidemiology by Xinguang Chen,(Din) Ding-Geng Chen Pdf

This book examines statistical methods and models used in the fields of global health and epidemiology. It includes methods such as innovative probability sampling, data harmonization and encryption, and advanced descriptive, analytical and monitory methods. Program codes using R are included as well as real data examples. Contemporary global health and epidemiology involves a myriad of medical and health challenges, including inequality of treatment, the HIV/AIDS epidemic and its subsequent control, the flu, cancer, tobacco control, drug use, and environmental pollution. In addition to its vast scales and telescopic perspective; addressing global health concerns often involves examining resource-limited populations with large geographic, socioeconomic diversities. Therefore, advancing global health requires new epidemiological design, new data, and new methods for sampling, data processing, and statistical analysis. This book provides global health researchers with methods that will enable access to and utilization of existing data. Featuring contributions from both epidemiological and biostatistical scholars, this book is a practical resource for researchers, practitioners, and students in solving global health problems in research, education, training, and consultation.

Statistics for Epidemiology

Author : Nicholas P. Jewell
Publisher : CRC Press
Page : 376 pages
File Size : 53,9 Mb
Release : 2003-08-26
Category : Medical
ISBN : 9780203496862

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Statistics for Epidemiology by Nicholas P. Jewell Pdf

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.

Statistics in Epidemiology

Author : Hardeo Sahai,Anwer Khurshid
Publisher : CRC Press
Page : 350 pages
File Size : 52,6 Mb
Release : 1995-12-21
Category : Mathematics
ISBN : 0849394449

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Statistics in Epidemiology by Hardeo Sahai,Anwer Khurshid Pdf

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:

Statistical Methods in Spatial Epidemiology

Author : Andrew B. Lawson
Publisher : John Wiley & Sons
Page : 192 pages
File Size : 47,9 Mb
Release : 2013-07-08
Category : Medical
ISBN : 9781118723173

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Statistical Methods in Spatial Epidemiology by Andrew B. Lawson Pdf

Spatial epidemiology is the description and analysis of the geographical distribution of disease. It is more important now than ever, with modern threats such as bio-terrorism making such analysis even more complex. This second edition of Statistical Methods in Spatial Epidemiology is updated and expanded to offer a complete coverage of the analysis and application of spatial statistical methods. The book is divided into two main sections: Part 1 introduces basic definitions and terminology, along with map construction and some basic models. This is expanded upon in Part II by applying this knowledge to the fundamental problems within spatial epidemiology, such as disease mapping, ecological analysis, disease clustering, bio-terrorism, space-time analysis, surveillance and infectious disease modelling. Provides a comprehensive overview of the main statistical methods used in spatial epidemiology. Updated to include a new emphasis on bio-terrorism and disease surveillance. Emphasizes the importance of space-time modelling and outlines the practical application of the method. Discusses the wide range of software available for analyzing spatial data, including WinBUGS, SaTScan and R, and features an accompanying website hosting related software. Contains numerous data sets, each representing a different approach to the analysis, and provides an insight into various modelling techniques. This text is primarily aimed at medical statisticians, researchers and practitioners from public health and epidemiology. It is also suitable for postgraduate students of statistics and epidemiology, as well professionals working in government agencies.

Statistical Methods in Environmental Epidemiology

Author : Duncan C. Thomas
Publisher : Oxford University Press, USA
Page : 450 pages
File Size : 53,6 Mb
Release : 2009
Category : Medical
ISBN : 9780191552687

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Statistical Methods in Environmental Epidemiology by Duncan C. Thomas Pdf

A systematic treatment of the statistical challenges that arise in environmental health studies and the use epidemiologic data in formulating public policy, at a level suitable for graduate students and epidemiologic researchers.

Statistical Methods in Genetic Epidemiology

Author : Duncan C. Thomas
Publisher : Oxford University Press
Page : 458 pages
File Size : 40,8 Mb
Release : 2004-01-29
Category : Medical
ISBN : 9780199748051

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Statistical Methods in Genetic Epidemiology by Duncan C. Thomas Pdf

This well-organized and clearly written text has a unique focus on methods of identifying the joint effects of genes and environment on disease patterns. It follows the natural sequence of research, taking readers through the study designs and statistical analysis techniques for determining whether a trait runs in families, testing hypotheses about whether a familial tendency is due to genetic or environmental factors or both, estimating the parameters of a genetic model, localizing and ultimately isolating the responsible genes, and finally characterizing their effects in the population. Examples from the literature on the genetic epidemiology of breast and colorectal cancer, among other diseases, illustrate this process. Although the book is oriented primarily towards graduate students in epidemiology, biostatistics and human genetics, it will also serve as a comprehensive reference work for researchers. Introductory chapters on molecular biology, Mendelian genetics, epidemiology, statistics, and population genetics will help make the book accessible to those coming from one of these fields without a background in the others. It strikes a good balance between epidemiologic study designs and statistical methods of data analysis.

Statistical Methods in Epidemiologic Research

Author : Ray M. Merrill
Publisher : Jones & Bartlett Publishers
Page : 944 pages
File Size : 55,5 Mb
Release : 2016
Category : Epidemiology
ISBN : 9781284034431

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Statistical Methods in Epidemiologic Research by Ray M. Merrill Pdf

"With the many advances in the control of infectious disease over the last 100 years, the role of epidemiology in public health has transformed significantly. Epidemiologic research now includes the study of acute and chronic diseases, as well as the events, behaviors, and conditions associated with health. From seasoned author Ray Merrill, this text explores how epidemiologic methods are conducted and interpreted. In four sections, Statistical Methods in Epidemiologic Research covers basic concepts in epidemiology and statistics, study designs, statistical techniques and applications, as well as special topics."--Publisher's website.

Modern Methods for Epidemiology

Author : Yu-Kang Tu,Darren C. Greenwood
Publisher : Springer Science & Business Media
Page : 316 pages
File Size : 43,9 Mb
Release : 2012-05-22
Category : Medical
ISBN : 9789400730243

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Modern Methods for Epidemiology by Yu-Kang Tu,Darren C. Greenwood Pdf

Routine applications of advanced statistical methods on real data have become possible in the last ten years because desktop computers have become much more powerful and cheaper. However, proper understanding of the challenging statistical theory behind those methods remains essential for correct application and interpretation, and rarely seen in the medical literature. Modern Methods for Epidemiology provides a concise introduction to recent development in statistical methodologies for epidemiological and biomedical researchers. Many of these methods have become indispensible tools for researchers working in epidemiology and medicine but are rarely discussed in details by standard textbooks of biostatistics or epidemiology. Contributors of this book are experienced researchers and experts in their respective fields. This textbook provides a solid starting point for those who are new to epidemiology, and for those looking for guidance in more modern statistical approaches to observational epidemiology. Epidemiological and biomedical researchers who wish to overcome the mathematical barrier of applying those methods to their research will find this book an accessible and helpful reference for self-learning and research. This book is also a good source for teaching postgraduate students in medical statistics or epidemiology.

Statistical Models in Epidemiology

Author : David Clayton,Michael Hills
Publisher : Oxford University Press, USA
Page : 376 pages
File Size : 46,9 Mb
Release : 2013-01-17
Category : Mathematics
ISBN : 9780199671182

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Statistical Models in Epidemiology by David Clayton,Michael Hills Pdf

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.

Statistical Thinking in Epidemiology

Author : Yu-Kang Tu,Mark Gilthorpe
Publisher : CRC Press
Page : 231 pages
File Size : 53,7 Mb
Release : 2016-04-19
Category : Mathematics
ISBN : 9781420099928

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Statistical Thinking in Epidemiology by Yu-Kang Tu,Mark Gilthorpe Pdf

While biomedical researchers may be able to follow instructions in the manuals accompanying the statistical software packages, they do not always have sufficient knowledge to choose the appropriate statistical methods and correctly interpret their results. Statistical Thinking in Epidemiology examines common methodological and statistical problems

International Encyclopedia of Statistical Science

Author : Miodrag Lovric
Publisher : Springer Science & Business Media
Page : 0 pages
File Size : 55,9 Mb
Release : 2010-12-01
Category : Mathematics
ISBN : 9783642048975

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International Encyclopedia of Statistical Science by Miodrag Lovric Pdf

The goal of this book is multidimensional: a) to help reviving Statistics education in many parts in the world where it is in crisis. For the first time authors from many developing countries have an opportunity to write together with the most prominent world authorities. The editor has spent several years searching for the most reputable statisticians all over the world. International contributors are either presidents of the local statistical societies, or head of the Statistics department at the main university, or the most distinguished statisticians in their countries. b) to enable any non-statistician to obtain quick and yet comprehensive and highly understandable view on certain statistical term, method or application c) to enable all the researchers, managers and practicioners to refresh their knowledge in Statistics, especially in certain controversial fields. d) to revive interest in statistics among students, since they will see its usefulness and relevance in almost all branches of Science.

Statistical Methods for Environmental Epidemiology with R

Author : Roger D. Peng,Francesca Dominici
Publisher : Springer
Page : 144 pages
File Size : 52,5 Mb
Release : 2008-07-25
Category : Medical
ISBN : 0387781668

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Statistical Methods for Environmental Epidemiology with R by Roger D. Peng,Francesca Dominici Pdf

As an area of statistical application, environmental epidemiology and more speci cally, the estimation of health risk associated with the exposure to - vironmental agents, has led to the development of several statistical methods and software that can then be applied to other scienti c areas. The stat- tical analyses aimed at addressing questions in environmental epidemiology have the following characteristics. Often the signal-to-noise ratio in the data is low and the targets of inference are inherently small risks. These constraints typically lead to the development and use of more sophisticated (and pot- tially less transparent) statistical models and the integration of large hi- dimensional databases. New technologies and the widespread availability of powerful computing are also adding to the complexities of scienti c inves- gation by allowing researchers to t large numbers of models and search over many sets of variables. As the number of variables measured increases, so do the degrees of freedom for in uencing the association between a risk factor and an outcome of interest. We have written this book, in part, to describe our experiences developing and applying statistical methods for the estimation for air pollution health e ects. Our experience has convinced us that the application of modern s- tistical methodology in a reproducible manner can bring to bear subst- tial bene ts to policy-makers and scientists in this area. We believe that the methods described in this book are applicable to other areas of environmental epidemiology, particularly those areas involving spatial{temporal exposures.

Essential Statistical Methods for Medical Statistics

Author : J. Philip Miller
Publisher : Elsevier
Page : 368 pages
File Size : 42,5 Mb
Release : 2010-11-08
Category : Mathematics
ISBN : 0444537384

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Essential Statistical Methods for Medical Statistics by J. Philip Miller Pdf

Essential Statistical Methods for Medical Statistics presents only key contributions which have been selected from the volume in the Handbook of Statistics: Medical Statistics, Volume 27 (2009). While the use of statistics in these fields has a long and rich history, the explosive growth of science in general, and of clinical and epidemiological sciences in particular, has led to the development of new methods and innovative adaptations of standard methods. This volume is appropriately focused for individuals working in these fields. Contributors are internationally renowned experts in their respective areas. · Contributors are internationally renowned experts in their respective areas · Addresses emerging statistical challenges in epidemiological, biomedical, and pharmaceutical research · Methods for assessing Biomarkers, analysis of competing risks · Clinical trials including sequential and group sequential, crossover designs, cluster randomized, and adaptive designs · Structural equations modelling and longitudinal data analysis

Statistical Epidemiology

Author : Graham R. Law,Shane W. Pascoe
Publisher : CABI
Page : 231 pages
File Size : 50,9 Mb
Release : 2013
Category : Medical
ISBN : 9781845938161

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Statistical Epidemiology by Graham R. Law,Shane W. Pascoe Pdf

Statistics are a vital skill for epidemiologists and form an essential part of clinical medicine. This textbook introduces students to statistical epidemiology methods in a carefully structured and accessible format with clearly defined learning outcomes and suggested chapter orders that can be tailored to the needs of students at both undergraduate and graduate level from a range of academic backgrounds. The book covers study design, disease measuring, bias, error, analysis and modelling and is illustrated with figures, focus boxes, study questions and examples applicable to everyday clinical problems. Drawing on the authors' extensive teaching experience, the text provides an introduction to core statistical epidemiology that will be a valuable resource for students and lecturers in health and medical sciences and applied statistics, health staff, clinical researchers and data managers.