Quantitative Epidemiology

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Quantitative Epidemiology

Author : Xinguang Chen
Publisher : Springer Nature
Page : 353 pages
File Size : 47,9 Mb
Release : 2022-02-22
Category : Mathematics
ISBN : 9783030838522

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Quantitative Epidemiology by Xinguang Chen Pdf

This book is designed to train graduate students across disciplines within the fields of public health and medicine, with the goal of guiding them in the transition to independent researchers. It focuses on theories, principles, techniques, and methods essential for data processing and quantitative analysis to address medical, health, and behavioral challenges. Students will learn to access to existing data and process their own data, quantify the distribution of a medical or health problem to inform decision making; to identify influential factors of a disease/behavioral problem; and to support health promotion and disease prevention. Concepts, principles, methods and skills are demonstrated with SAS programs, figures and tables generated from real, publicly available data. In addition to various methods for introductory analysis, the following are featured, including 4-dimensional measurement of distribution and geographic mapping, multiple linear and logistic regression, Poisson regression, Cox regression, missing data imputing, and statistical power analysis.

Quantitative Methods for Health Research

Author : Nigel Bruce,Daniel Pope,Debbi Stanistreet
Publisher : John Wiley & Sons
Page : 603 pages
File Size : 42,6 Mb
Release : 2013-03-18
Category : Medical
ISBN : 9781118693377

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Quantitative Methods for Health Research by Nigel Bruce,Daniel Pope,Debbi Stanistreet Pdf

Quantitative Research Methods for Health Professionals: A Practical Interactive Course is a superb introduction to epidemiology, biostatistics, and research methodology for the whole health care community. Drawing examples from a wide range of health research, this practical handbook covers important contemporary health research methods such as survival analysis, Cox regression, and meta-analysis, the understanding of which go beyond introductory concepts. The book includes self-assessment exercises throughout to help students explore and reflect on their understanding and a clear distinction is made between a) knowledge and concepts that all students should ensure they understand and b) those that can be pursued by students who wish to do so. The authors incorporate a program of practical exercises in SPSS using a prepared data set that helps to consolidate the theory and develop skills and confidence in data handling, analysis and interpretation.

Applying Quantitative Bias Analysis to Epidemiologic Data

Author : Timothy L. Lash,Matthew P. Fox,Aliza K. Fink
Publisher : Springer Science & Business Media
Page : 200 pages
File Size : 40,5 Mb
Release : 2011-04-14
Category : Medical
ISBN : 9780387879598

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Applying Quantitative Bias Analysis to Epidemiologic Data by Timothy L. Lash,Matthew P. Fox,Aliza K. Fink Pdf

Bias analysis quantifies the influence of systematic error on an epidemiology study’s estimate of association. The fundamental methods of bias analysis in epi- miology have been well described for decades, yet are seldom applied in published presentations of epidemiologic research. More recent advances in bias analysis, such as probabilistic bias analysis, appear even more rarely. We suspect that there are both supply-side and demand-side explanations for the scarcity of bias analysis. On the demand side, journal reviewers and editors seldom request that authors address systematic error aside from listing them as limitations of their particular study. This listing is often accompanied by explanations for why the limitations should not pose much concern. On the supply side, methods for bias analysis receive little attention in most epidemiology curriculums, are often scattered throughout textbooks or absent from them altogether, and cannot be implemented easily using standard statistical computing software. Our objective in this text is to reduce these supply-side barriers, with the hope that demand for quantitative bias analysis will follow.

Epidemiologic Research

Author : David G. Kleinbaum,Lawrence L. Kupper,Hal Morgenstern
Publisher : John Wiley & Sons
Page : 552 pages
File Size : 48,7 Mb
Release : 1991-01-16
Category : Medical
ISBN : 047128985X

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Epidemiologic Research by David G. Kleinbaum,Lawrence L. Kupper,Hal Morgenstern Pdf

Epidemiologic Research Principles and Quantitative Methods DavidG. Kleinbaum, Ph.D. Lawrence L. Kupper. Ph.D. Hal Morgenstern,Ph.D. Epidemiologic Research covers the principles and methodsof planning, analysis and interpretation of epidemiologic researchstudies. It supplies the applied researcher with the mostup-to-date methodological thought and practice. Specifically, thebook focuses on quantitative (including statistical) issues arisingfrom epidemiologic investigations, as well as on the questions ofstudy design, measurement and validity. EpidemiologicResearch emphasizes practical techniques, procedures andstrategies. It presents them through a unified approach whichfollows the chronology of issues that arise during theinvestigation of an epidemic. The book's viewpoint ismultidisciplinary and equally useful to the epidemiologicresearcher and to the biostatistician. Theory is supplemented bynumerous examples, exercises and applications. Full solutions aregiven to all exercises in a separate solutions manual. Importantfeatures * Thorough discussion of the methodology of epidemiologicresearch * Stress on validity and hence on reliability * Balanced approach, presenting the most important prevailingviewpoints * Three chapters with applications of mathematical modeling

Application of Quantitative Methods in Veterinary Epidemiology

Author : Josephus Pieter Thérèse Maria Noordhuizen
Publisher : Brill Wageningen Academic
Page : 0 pages
File Size : 48,7 Mb
Release : 2001
Category : Animals
ISBN : 9074134890

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Application of Quantitative Methods in Veterinary Epidemiology by Josephus Pieter Thérèse Maria Noordhuizen Pdf

Quantitative epidemiology provides the principles and tools for a better understanding of disease occurrence and spread in (animal) populations, and in particular diseases with a multifactoral aetiology. These tools can aid interpretation, decision-making and disease prevention. This book comprises a series of workshops and clinics where theory and practical issues concerning quantitative epidemiological issues are addressed. It is not intended as a textbook, but as an aid to self training. The book contains detailed examples from the field: answers are given to questions.

Quantitative Methods for Health Research

Author : Nigel Bruce,Daniel Pope,Debbi Stanistreet
Publisher : John Wiley & Sons
Page : 580 pages
File Size : 47,8 Mb
Release : 2018-02-05
Category : Medical
ISBN : 9781118665411

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Quantitative Methods for Health Research by Nigel Bruce,Daniel Pope,Debbi Stanistreet Pdf

A practical introduction to epidemiology, biostatistics, and research methodology for the whole health care community This comprehensive text, which has been extensively revised with new material and additional topics, utilizes a practical slant to introduce health professionals and students to epidemiology, biostatistics, and research methodology. It draws examples from a wide range of topics, covering all of the main contemporary health research methods, including survival analysis, Cox regression, and systematic reviews and meta-analysis—the explanation of which go beyond introductory concepts. This second edition of Quantitative Methods for Health Research: A Practical Interactive Guide to Epidemiology and Statistics also helps develop critical skills that will prepare students to move on to more advanced and specialized methods. A clear distinction is made between knowledge and concepts that all students should ensure they understand, and those that can be pursued further by those who wish to do so. Self-assessment exercises throughout the text help students explore and reflect on their understanding. A program of practical exercises in SPSS (using a prepared data set) helps to consolidate the theory and develop skills and confidence in data handling, analysis, and interpretation. Highlights of the book include: Combining epidemiology and bio-statistics to demonstrate the relevance and strength of statistical methods Emphasis on the interpretation of statistics using examples from a variety of public health and health care situations to stress relevance and application Use of concepts related to examples of published research to show the application of methods and balance between ideals and the realities of research in practice Integration of practical data analysis exercises to develop skills and confidence Supplementation by a student companion website which provides guidance on data handling in SPSS and study data sets as referred to in the text Quantitative Methods for Health Research, Second Edition is a practical learning resource for students, practitioners and researchers in public health, health care and related disciplines, providing both a course book and a useful introductory reference.

Statistics in Public Health

Author : Donna F. Stroup Ph.D, M.Sc.,Steven M. Teutsch M.D., M.P.H.
Publisher : Oxford University Press
Page : 252 pages
File Size : 49,5 Mb
Release : 1998-07-16
Category : Medical
ISBN : 0199771332

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Statistics in Public Health by Donna F. Stroup Ph.D, M.Sc.,Steven M. Teutsch M.D., M.P.H. Pdf

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.

Epidemiology

Author : Mark Woodward
Publisher : CRC Press
Page : 844 pages
File Size : 53,5 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

Quantitative Methods for Investigating Infectious Disease Outbreaks

Author : Ping Yan,Gerardo Chowell
Publisher : Springer
Page : 354 pages
File Size : 55,9 Mb
Release : 2019-08-16
Category : Mathematics
ISBN : 9783030219239

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Quantitative Methods for Investigating Infectious Disease Outbreaks by Ping Yan,Gerardo Chowell Pdf

This book provides a systematic treatment of the mathematical underpinnings of work in the theory of outbreak dynamics and their control, covering balanced perspectives between theory and practice including new material on contemporary topics in the field of infectious disease modelling. Specifically, it presents a unified mathematical framework linked to the distribution theory of non-negative random variables; the many examples used in the text, are introduced and discussed in light of theoretical perspectives. The book is organized into 9 chapters: The first motivates the presentation of the material on subsequent chapters; Chapter 2-3 provides a review of basic concepts of probability and statistical models for the distributions of continuous lifetime data and the distributions of random counts and counting processes, which are linked to phenomenological models. Chapters 4 focuses on dynamic behaviors of a disease outbreak during the initial phase while Chapters 5-6 broadly cover compartment models to investigate the consequences of epidemics as the outbreak moves beyond the initial phase. Chapter 7 provides a transition between mostly theoretical topics in earlier chapters and Chapters 8 and 9 where the focus is on the data generating processes and statistical issues of fitting models to data as well as specific mathematical epidemic modeling applications, respectively. This book is aimed at a wide audience ranging from graduate students to established scientists from quantitatively-oriented fields of epidemiology, mathematics and statistics. The numerous examples and illustrations make understanding of the mathematics of disease transmission and control accessible. Furthermore, the examples and exercises, make the book suitable for motivated students in applied mathematics, either through a lecture course, or through self-study. This text could be used in graduate schools or special summer schools covering research problems in mathematical biology.

Developing a Protocol for Observational Comparative Effectiveness Research: A User's Guide

Author : Agency for Health Care Research and Quality (U.S.)
Publisher : Government Printing Office
Page : 204 pages
File Size : 41,9 Mb
Release : 2013-02-21
Category : Medical
ISBN : 9781587634239

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Developing a Protocol for Observational Comparative Effectiveness Research: A User's Guide by Agency for Health Care Research and Quality (U.S.) Pdf

This User’s Guide is a resource for investigators and stakeholders who develop and review observational comparative effectiveness research protocols. It explains how to (1) identify key considerations and best practices for research design; (2) build a protocol based on these standards and best practices; and (3) judge the adequacy and completeness of a protocol. Eleven chapters cover all aspects of research design, including: developing study objectives, defining and refining study questions, addressing the heterogeneity of treatment effect, characterizing exposure, selecting a comparator, defining and measuring outcomes, and identifying optimal data sources. Checklists of guidance and key considerations for protocols are provided at the end of each chapter. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews. More more information, please consult the Agency website: www.effectivehealthcare.ahrq.gov)

Statistical Methods for Global Health and Epidemiology

Author : Xinguang Chen,(Din) Ding-Geng Chen
Publisher : Springer Nature
Page : 420 pages
File Size : 51,6 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.

AIDS Epidemiology

Author : Ron Brookmeyer,Mitchell H. Gail
Publisher : Oxford University Press
Page : 374 pages
File Size : 45,7 Mb
Release : 1994-01-06
Category : Medical
ISBN : 9780199748747

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AIDS Epidemiology by Ron Brookmeyer,Mitchell H. Gail Pdf

AIDS has appeared in more than 130 countries, and over 100,000 cases of AIDS have been reported in the U.S. alone. More and more, the public will be depending on statisticians to provide answers about the future course of this epidemic. This comprehensive work confronts the problems that are unique to AIDS research and unites them under a single conceptual framework. It focuses on methods for the design and analysis of epidemiologic studies, the natural history of AIDS and the transmission of HIV, methods for tracking and projecting the course of the epidemic, and statistical issues in therapeutic trials. The various methods of monitoring and forecasting this disease receive comprehensive treatment. These methods include back-calculation, which the authors developed; interpretation of survey data on HIV prevalence; mathematical models for HIV transmission; and approaches that combine different types of epidemiological data. Much of this material -- such as a discussion of methods for assessing safety of the blood supply, an evaluation of survey approaches, and methods to project pediatric AIDS incidence -- is not available in any other work.

Measurement Error and Misclassification in Statistics and Epidemiology

Author : Paul Gustafson
Publisher : CRC Press
Page : 213 pages
File Size : 46,5 Mb
Release : 2003-09-25
Category : Mathematics
ISBN : 9780203502761

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Measurement Error and Misclassification in Statistics and Epidemiology by Paul Gustafson Pdf

Mismeasurement of explanatory variables is a common hazard when using statistical modeling techniques, and particularly so in fields such as biostatistics and epidemiology where perceived risk factors cannot always be measured accurately. With this perspective and a focus on both continuous and categorical variables, Measurement Error and Misclassi

Analysis of Cancer Risks in Populations Near Nuclear Facilities

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 : 42,8 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.

Population Health Science

Author : Katherine M. Keyes,Sandro Galea
Publisher : Oxford University Press
Page : 272 pages
File Size : 51,7 Mb
Release : 2016-07-07
Category : Medical
ISBN : 9780190459390

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Population Health Science by Katherine M. Keyes,Sandro Galea Pdf

POPULATION HEALTH SCIENCE formalizes an emerging discipline at the crossroads of social and medical sciences, demography, and economics--an emerging approach to population studies that represents a seismic shift in how traditional health sciences measure and observe health events. Bringing together theories and methods from diverse fields, this text provides grounding in the factors that shape population health. The overall approach is one of consequentialist science: designing creative studies that identify causal factors in health with multidisciplinary rigor. Distilled into nine foundational principles, this book guides readers through population science studies that strategically incorporate: · macrosocial factors · multilevel, lifecourse, and systems theories · prevention science fundamentals · return on investment · equity and efficiency Harnessing the power of scientific inquiry and codifying the knowledge base for a burgeoning field, POPULATION HEALTH SCIENCE arms readers with tools to shift the curve of population health.