Epidemiological And Statistical Data

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Statistical Methods for Global Health and Epidemiology

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

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.

Statistical Analysis of Epidemiologic Data

Steve Selvin
Statistical Analysis of Epidemiologic Data Book PDF

Author : Steve Selvin
Publisher : Oxford University Press
Page : 524 pages
File Size : 45,8 Mb
Release : 2004-05-13
Category : Medical
ISBN : 0199771448

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Statistical Analysis of Epidemiologic Data by Steve Selvin Pdf

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.

Statistics for Epidemiology

Nicholas P. Jewell
Statistics for Epidemiology Book PDF

Author : Nicholas P. Jewell
Publisher : CRC Press
Page : 376 pages
File Size : 52,5 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.

Analysis of Epidemiologic Data Using R

Robert Hirsch
Analysis of Epidemiologic Data Using R Book PDF

Author : Robert Hirsch
Publisher : Springer Nature
Page : 115 pages
File Size : 44,9 Mb
Release : 2023-09-10
Category : Science
ISBN : 9783031419140

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Analysis of Epidemiologic Data Using R by Robert Hirsch Pdf

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.

Statistical Methods in Epidemiology

Harold A. Kahn,Christopher T. Sempos
Statistical Methods in Epidemiology Book PDF

Author : Harold A. Kahn,Christopher T. Sempos
Publisher : Monographs in Epidemiology and
Page : 310 pages
File Size : 45,8 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.

Epidemiology

Mark Woodward
Epidemiology Book PDF

Author : Mark Woodward
Publisher : CRC Press
Page : 728 pages
File Size : 55,8 Mb
Release : 1999-05-25
Category : Mathematics
ISBN : 1584880090

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Epidemiology by Mark Woodward Pdf

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.

Applied Epidemiology and Biostatistics

Giuseppe La Torre
Applied Epidemiology and Biostatistics Book PDF

Author : Giuseppe La Torre
Publisher : SEEd
Page : 400 pages
File Size : 53,6 Mb
Release : 2010-11-25
Category : Medical
ISBN : 8889688564

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Applied Epidemiology and Biostatistics by Giuseppe La Torre Pdf

This book provides not only the theory of biostatistics, but also the opportunity of applying it in practice. In fact, each chapter presents one or more specific examples on how to perform an epidemiological or statistical data analysis and includes download access to the software and databases, giving the reader the possibility of replicating the analyses described.

Statistical Approaches for Epidemiology

Amal K. Mitra
Statistical Approaches for Epidemiology Book PDF

Author : Amal K. Mitra
Publisher : Springer Nature
Page : 445 pages
File Size : 45,6 Mb
Release : 2023-12-12
Category : Medical
ISBN : 9783031417849

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Statistical Approaches for Epidemiology by Amal K. Mitra Pdf

This textbook provides the basic concepts of epidemiology while preparing readers with the skills of applying statistical tools in real-life situations. Students, in general, struggle with statistical theories and their practical applications. This book makes statistical concepts easy to understand by focusing on real-life examples, case studies, and exercises. It also provides step-by-step guides for data analysis and interpretation using standard statistical software such as SPSS, SAS, R, Python, and GIS as appropriate, illustrating the concepts. Through the book's 23 chapters, readers primarily learn how to apply statistical methods in epidemiological studies and problem-solving. Among the topics covered: Clinical Trials Epidemic Investigation and Control Geospatial Applications in Epidemiology Survival Analysis and Applications Using SAS and SPSS Systematic Review and Meta-Analysis: Evidence-based Decision-Making in Public Health Missing Data Imputation: A Practical Guide Artificial Intelligence and Machine Learning Multivariate Linear Regression and Logistics Regression Analysis Using SAS Each chapter is written by eminent scientists and experts worldwide, including contributors from institutions in the United States, Canada, Bangladesh, India, Hong Kong, Malaysia, and the Middle East. Statistical Approaches for Epidemiology: From Concept to Application is an all-in-one book that serves as an essential text for graduate students, faculty, instructors, and researchers in public health and other branches of health sciences, as well as a useful resource for health researchers in industry, public health and health department professionals, health practitioners, and health research organizations and non-governmental organizations. The book also will be helpful for graduate students and faculty in related disciplines such as data science, nursing, social work, environmental health, occupational health, computer science, statistics, and biology.

Statistical Methods for Environmental Epidemiology with R

Roger D. Peng,Francesca Dominici
Statistical Methods for Environmental Epidemiology with R Book PDF

Author : Roger D. Peng,Francesca Dominici
Publisher : Springer Science & Business Media
Page : 151 pages
File Size : 41,8 Mb
Release : 2008-12-15
Category : Medical
ISBN : 9780387781679

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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.

Epidemiology

Mark Woodward
Epidemiology Book PDF

Author : Mark Woodward
Publisher : CRC Press
Page : 844 pages
File Size : 42,8 Mb
Release : 2013-12-19
Category : Mathematics
ISBN : 9781482243208

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Epidemiology by Mark Woodward Pdf

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

Basic Concepts in Statistics and Epidemiology

Theodore H. MacDonald,Denis Pereira Gray
Basic Concepts in Statistics and Epidemiology Book PDF

Author : Theodore H. MacDonald,Denis Pereira Gray
Publisher : CRC Press
Page : 224 pages
File Size : 50,8 Mb
Release : 2018-10-08
Category : Medical
ISBN : 9781138030664

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Basic Concepts in Statistics and Epidemiology by Theodore H. MacDonald,Denis Pereira Gray Pdf

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.

Statistical Epidemiology

Graham R. Law,Shane W. Pascoe
Statistical Epidemiology Book PDF

Author : Graham R. Law,Shane W. Pascoe
Publisher : CABI
Page : 231 pages
File Size : 52,8 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.

Analysis of Cancer Risks in Populations Near Nuclear Facilities

National Research Council,Division on Earth and Life Studies,Nuclear and Radiation Studies Board,Committee on the Analysis of Cancer Risks in Populations near Nuclear Facilitiesâ¬"Phase I
Analysis of Cancer Risks in Populations Near Nuclear Facilities Book PDF

Author : National Research Council,Division on Earth and Life Studies,Nuclear and Radiation Studies Board,Committee on the Analysis of Cancer Risks in Populations near Nuclear Facilitiesâ¬"Phase I
Publisher : National Academies Press
Page : 424 pages
File Size : 42,9 Mb
Release : 2012-06-29
Category : Medical
ISBN : 9780309255714

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Analysis of Cancer Risks in Populations Near Nuclear Facilities by National Research Council,Division on Earth and Life Studies,Nuclear and Radiation Studies Board,Committee on the Analysis of Cancer Risks in Populations near Nuclear Facilitiesâ¬"Phase I Pdf

In the late 1980s, the National Cancer Institute initiated an investigation of cancer risks in populations near 52 commercial nuclear power plants and 10 Department of Energy nuclear facilities (including research and nuclear weapons production facilities and one reprocessing plant) in the United States. The results of the NCI investigation were used a primary resource for communicating with the public about the cancer risks near the nuclear facilities. However, this study is now over 20 years old. The U.S. Nuclear Regulatory Commission requested that the National Academy of Sciences provide an updated assessment of cancer risks in populations near USNRC-licensed nuclear facilities that utilize or process uranium for the production of electricity. Analysis of Cancer Risks in Populations near Nuclear Facilities: Phase 1 focuses on identifying scientifically sound approaches for carrying out an assessment of cancer risks associated with living near a nuclear facility, judgments about the strengths and weaknesses of various statistical power, ability to assess potential confounding factors, possible biases, and required effort. The results from this Phase 1 study will be used to inform the design of cancer risk assessment, which will be carried out in Phase 2. This report is beneficial for the general public, communities near nuclear facilities, stakeholders, healthcare providers, policy makers, state and local officials, community leaders, and the media.

Statistical Analysis of Epidemiologic Data

S. Selvin
Statistical Analysis of Epidemiologic Data Book PDF

Author : S. Selvin
Publisher : Oxford University Press, USA
Page : 375 pages
File Size : 53,7 Mb
Release : 1991
Category : Epidemiology
ISBN : 0195067665

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Statistical Analysis of Epidemiologic Data by S. Selvin Pdf

This text combines applied and theoretical approaches to the analysis of epidemiologic issues. It goes beyond elementary material to deal with real problems generated by disease data, and delves into less usual areas such as the analysis of spatial distributions, survival data, proportional hazards regression, and "computer intensive" approaches to statistical estimation. Each method discussed in the text is illustrated with examples which include complete sets of data. Using actual data demonstrates the strengths and weaknesses of different analytic approaches in describing a disease process. The book's goal is to develop a clear understanding of analytic approaches to problems in epidemiological data analysis without relying on sophisticated mathematics and advanced statistical theory. Individuals with some background in epidemiology and statistics will find this a useful volume in the study of epidemiological analysis.

Mathematical and Statistical Estimation Approaches in Epidemiology

Gerardo Chowell,James M. Hayman,Luís M. A. Bettencourt,Carlos Castillo-Chavez
Mathematical and Statistical Estimation Approaches in Epidemiology Book PDF

Author : Gerardo Chowell,James M. Hayman,Luís M. A. Bettencourt,Carlos Castillo-Chavez
Publisher : Springer Science & Business Media
Page : 367 pages
File Size : 49,9 Mb
Release : 2009-06-06
Category : Mathematics
ISBN : 9789048123131

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Mathematical and Statistical Estimation Approaches in Epidemiology by Gerardo Chowell,James M. Hayman,Luís M. A. Bettencourt,Carlos Castillo-Chavez Pdf

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.