Biostatistics Modeling And Public Health Applications

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Probability, Statistics and Modelling in Public Health

Author : M.S. Nikulin
Publisher : Springer
ISBN 13 : 9780387260228
Total Pages : 480 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Probability, Statistics and Modelling in Public Health by : M.S. Nikulin

Download or read book Probability, Statistics and Modelling in Public Health written by M.S. Nikulin and published by Springer. This book was released on 2005-10-11 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probability, Statistics and Modelling in Public Health consists of refereed contributions by expert biostatisticians that discuss various probabilistic and statistical models used in public health. Many of them are based on the work of Marvin Zelen of the Harvard School of Public Health. Topics discussed include models based on Markov and semi-Markov processes, multi-state models, models and methods in lifetime data analysis, accelerated failure models, design and analysis of clinical trials, Bayesian methods, pharmaceutical and environmental statistics, degradation models, epidemiological methods, screening programs, early detection of diseases, and measurement and analysis of quality of life.

Biostatistics Modeling and Public Health Applications

Author : Ding-Geng Din Chen
Publisher : Springer
ISBN 13 : 9783031696893
Total Pages : 0 pages
Book Rating : 4.6/5 (968 download)

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Book Synopsis Biostatistics Modeling and Public Health Applications by : Ding-Geng Din Chen

Download or read book Biostatistics Modeling and Public Health Applications written by Ding-Geng Din Chen and published by Springer. This book was released on 2024-11-03 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview and compilation of emerging topics in mathematical and statistical theories and methods, through their applications to evidence-based public health research and decision-making. Each contributor are researchers around the globe, engaged in mathematical and statistical methods and applications to present their current and cutting-edge research achievements. All chapters share their data and computing program, to promote their developed mathematical and statistical methods in association to solve real-life applications. Evidence-based public health research and applications call for modern mathematical and statistical methods. This book covers topics in 3 parts as: 1) Mathematical Modeling, where 9 chapters are included, 2) Statistical Modelling, where 10 chapters are included, and 3) Real-World Applications, where 7 chapters are included. Topics included, should appeal to both expert mathematicians and statisticians as well as health researchers interested in methodological applications in evidence-based health research. The book will be a resourceful manual and can be used as an authoritative reference. The features covered in this book will appeal to researchers where public health research is being rigorously conducted.

Biostatistics for Clinical and Public Health Research

Author : Melody S. Goodman
Publisher : Routledge
ISBN 13 : 1351651714
Total Pages : 537 pages
Book Rating : 4.3/5 (516 download)

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Book Synopsis Biostatistics for Clinical and Public Health Research by : Melody S. Goodman

Download or read book Biostatistics for Clinical and Public Health Research written by Melody S. Goodman and published by Routledge. This book was released on 2017-12-14 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biostatistics for Clinical and Public Health Research provides a concise overview of statistical analysis methods. Use of SAS and Stata statistical software is illustrated in full, including how to interpret results. Focusing on statistical models without all the theory, the book is complete with exercises, case studies, take-away points, and data sets. Readers will be able to maximize their statistical abilities in hypothesis testing, data interpretation, and application while also learning when and how to consult a biostatistician. This book will be an invaluable tool for students and clinical and public health practitioners.

Essentials of Biostatistics in Public Health

Author : Lisa M. Sullivan
Publisher : Jones & Bartlett Learning
ISBN 13 : 1284288730
Total Pages : 407 pages
Book Rating : 4.2/5 (842 download)

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Book Synopsis Essentials of Biostatistics in Public Health by : Lisa M. Sullivan

Download or read book Essentials of Biostatistics in Public Health written by Lisa M. Sullivan and published by Jones & Bartlett Learning. This book was released on 2023-02-28 with total page 407 pages. Available in PDF, EPUB and Kindle. Book excerpt: Essentials of Biostatistics in Public Health, Fourth Edition provides a fundamental and engaging background for students learning to apply and appropriately interpret biostatistics applications in the field of public health. Many examples are drawn directly from the author's remarkable clinical experiences with the renowned Framingham Heart Study, making this text practical, interesting, and accessible for those with little mathematical background. The examples are real, relevant, and manageable in size so that students can easily focus on applications rather than become overwhelmed by computations. The Fourth Edition has been thoroughly updated, and now offers a new chapter on career opportunities in biostatistics and new case studies focused on COVID-19 within each chapter. This edition also includes free access to JMP® Student Subscription (a $29.95 value). New cases based on COVID-19 highlight the importance and practical applications of biostatistics for addressing the pandemic.

Biostatistics in Public Health Using STATA

Author : Erick L. Suárez
Publisher : CRC Press
ISBN 13 : 1498722024
Total Pages : 202 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Biostatistics in Public Health Using STATA by : Erick L. Suárez

Download or read book Biostatistics in Public Health Using STATA written by Erick L. Suárez and published by CRC Press. This book was released on 2016-03-24 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: Striking a balance between theory, application, and programming, Biostatistics in Public Health Using STATA is a user-friendly guide to applied statistical analysis in public health using STATA version 14. The book supplies public health practitioners and students with the opportunity to gain expertise in the application of statistics in epidemiolo

Disease Modelling and Public Health, Part A

Author :
Publisher : Elsevier
ISBN 13 : 0444639691
Total Pages : 514 pages
Book Rating : 4.4/5 (446 download)

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Book Synopsis Disease Modelling and Public Health, Part A by :

Download or read book Disease Modelling and Public Health, Part A written by and published by Elsevier. This book was released on 2017-10-13 with total page 514 pages. Available in PDF, EPUB and Kindle. Book excerpt: Disease Modelling and Public Health, Part A, Volume 36 addresses new challenges in existing and emerging diseases with a variety of comprehensive chapters that cover Infectious Disease Modeling, Bayesian Disease Mapping for Public Health, Real time estimation of the case fatality ratio and risk factor of death, Alternative Sampling Designs for Time-To-Event Data with Applications to Biomarker Discovery in Alzheimer's Disease, Dynamic risk prediction for cardiovascular disease: An illustration using the ARIC Study, Theoretical advances in type 2 diabetes, Finite Mixture Models in Biostatistics, and Models of Individual and Collective Behavior for Public Health Epidemiology. As a two part volume, the series covers an extensive range of techniques in the field. It present a vital resource for statisticians who need to access a number of different methods for assessing epidemic spread in population, or in formulating public health policy. Presents a comprehensive, two-part volume written by leading subject experts Provides a unique breadth and depth of content coverage Addresses the most cutting-edge developments in the field Includes chapters on Ebola and the Zika virus; topics which have grown in prominence and scholarly output

Innovative Statistical Methods for Public Health Data

Author : Ding-Geng (Din) Chen
Publisher : Springer
ISBN 13 : 3319185365
Total Pages : 354 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Innovative Statistical Methods for Public Health Data by : Ding-Geng (Din) Chen

Download or read book Innovative Statistical Methods for Public Health Data written by Ding-Geng (Din) Chen and published by Springer. This book was released on 2015-08-31 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book brings together experts working in public health and multi-disciplinary areas to present recent issues in statistical methodological development and their applications. This timely book will impact model development and data analyses of public health research across a wide spectrum of analysis. Data and software used in the studies are available for the reader to replicate the models and outcomes. The fifteen chapters range in focus from techniques for dealing with missing data with Bayesian estimation, health surveillance and population definition and implications in applied latent class analysis, to multiple comparison and meta-analysis in public health data. Researchers in biomedical and public health research will find this book to be a useful reference and it can be used in graduate level classes.

Probability, Statistics and Modeling in Public Health

Author : Phillis Cousins
Publisher : Hayle Medical
ISBN 13 : 9781646475896
Total Pages : 0 pages
Book Rating : 4.4/5 (758 download)

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Book Synopsis Probability, Statistics and Modeling in Public Health by : Phillis Cousins

Download or read book Probability, Statistics and Modeling in Public Health written by Phillis Cousins and published by Hayle Medical. This book was released on 2023-09-26 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Public health is an interdisciplinary field that draws from fields such as epidemiology, biostatistics, social sciences, and management of health services. The primary aims of public health include preventing disease, prolonging life and promoting health. The objectives of public health can be achieved through organized efforts and choices made by society, public and private organizations, communities, and individuals. The study of public health also involves the role of environmental health, community health, behavioral health, health economics, public policy, mental health, health education, health politics, occupational safety, disability, oral health, and reproductive health. The pivotal role of public health is to inform, educate, and empower people about the various health-related problems and their resolutions. This can be performed by assessing current services, ascertaining the requirements of health professionals, and supporting decision making in health care. This book is compiled in such a manner, that it will provide an in-depth knowledge about public health as well as the application of probability, statistics and modeling in this field. It is appropriate for those seeking detailed information in this area of study.

Applications of Regression Models in Epidemiology

Author : Erick Suárez
Publisher : John Wiley & Sons
ISBN 13 : 1119212502
Total Pages : 319 pages
Book Rating : 4.1/5 (192 download)

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Book Synopsis Applications of Regression Models in Epidemiology by : Erick Suárez

Download or read book Applications of Regression Models in Epidemiology written by Erick Suárez and published by John Wiley & Sons. This book was released on 2017-02-13 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: A one-stop guide for public health students and practitioners learning the applications of classical regression models in epidemiology This book is written for public health professionals and students interested in applying regression models in the field of epidemiology. The academic material is usually covered in public health courses including (i) Applied Regression Analysis, (ii) Advanced Epidemiology, and (iii) Statistical Computing. The book is composed of 13 chapters, including an introduction chapter that covers basic concepts of statistics and probability. Among the topics covered are linear regression model, polynomial regression model, weighted least squares, methods for selecting the best regression equation, and generalized linear models and their applications to different epidemiological study designs. An example is provided in each chapter that applies the theoretical aspects presented in that chapter. In addition, exercises are included and the final chapter is devoted to the solutions of these academic exercises with answers in all of the major statistical software packages, including STATA, SAS, SPSS, and R. It is assumed that readers of this book have a basic course in biostatistics, epidemiology, and introductory calculus. The book will be of interest to anyone looking to understand the statistical fundamentals to support quantitative research in public health. In addition, this book: • Is based on the authors’ course notes from 20 years teaching regression modeling in public health courses • Provides exercises at the end of each chapter • Contains a solutions chapter with answers in STATA, SAS, SPSS, and R • Provides real-world public health applications of the theoretical aspects contained in the chapters Applications of Regression Models in Epidemiology is a reference for graduate students in public health and public health practitioners. ERICK SUÁREZ is a Professor of the Department of Biostatistics and Epidemiology at the University of Puerto Rico School of Public Health. He received a Ph.D. degree in Medical Statistics from the London School of Hygiene and Tropical Medicine. He has 29 years of experience teaching biostatistics. CYNTHIA M. PÉREZ is a Professor of the Department of Biostatistics and Epidemiology at the University of Puerto Rico School of Public Health. She received an M.S. degree in Statistics and a Ph.D. degree in Epidemiology from Purdue University. She has 22 years of experience teaching epidemiology and biostatistics. ROBERTO RIVERA is an Associate Professor at the College of Business at the University of Puerto Rico at Mayaguez. He received a Ph.D. degree in Statistics from the University of California in Santa Barbara. He has more than five years of experience teaching statistics courses at the undergraduate and graduate levels. MELISSA N. MARTÍNEZ is an Account Supervisor at Havas Media International. She holds an MPH in Biostatistics from the University of Puerto Rico and an MSBA from the National University in San Diego, California. For the past seven years, she has been performing analyses for the biomedical research and media advertising fields.

Model-based Geostatistics for Global Public Health

Author : Peter J. Diggle
Publisher : CRC Press
ISBN 13 : 1351743260
Total Pages : 217 pages
Book Rating : 4.3/5 (517 download)

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Book Synopsis Model-based Geostatistics for Global Public Health by : Peter J. Diggle

Download or read book Model-based Geostatistics for Global Public Health written by Peter J. Diggle and published by CRC Press. This book was released on 2019-03-04 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: Model-based Geostatistics for Global Public Health: Methods and Applications provides an introductory account of model-based geostatistics, its implementation in open-source software and its application in public health research. In the public health problems that are the focus of this book, the authors describe and explain the pattern of spatial variation in a health outcome or exposure measurement of interest. Model-based geostatistics uses explicit probability models and established principles of statistical inference to address questions of this kind. Features: Presents state-of-the-art methods in model-based geostatistics. Discusses the application these methods some of the most challenging global public health problems including disease mapping, exposure mapping and environmental epidemiology. Describes exploratory methods for analysing geostatistical data, including: diagnostic checking of residuals standard linear and generalized linear models; variogram analysis; Gaussian process models and geostatistical design issues. Includes a range of more complex geostatistical problems where research is ongoing. All of the results in the book are reproducible using publicly available R code and data-sets, as well as a dedicated R package. This book has been written to be accessible not only to statisticians but also to students and researchers in the public health sciences. The Authors Peter Diggle is Distinguished University Professor of Statistics in the Faculty of Health and Medicine, Lancaster University. He also holds honorary positions at the Johns Hopkins University School of Public Health, Columbia University International Research Institute for Climate and Society, and Yale University School of Public Health. His research involves the development of statistical methods for analyzing spatial and longitudinal data and their applications in the biomedical and health sciences. Dr Emanuele Giorgi is a Lecturer in Biostatistics and member of the CHICAS research group at Lancaster University, where he formerly obtained a PhD in Statistics and Epidemiology in 2015. His research interests involve the development of novel geostatistical methods for disease mapping, with a special focus on malaria and other tropical diseases. In 2018, Dr Giorgi was awarded the Royal Statistical Society Research Prize "for outstanding published contribution at the interface of statistics and epidemiology." He is also the lead developer of PrevMap, an R package where all the methodology found in this book has been implemented.

Medical Applications of Finite Mixture Models

Author : Peter Schlattmann
Publisher : Springer Science & Business Media
ISBN 13 : 3540686517
Total Pages : 252 pages
Book Rating : 4.5/5 (46 download)

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Book Synopsis Medical Applications of Finite Mixture Models by : Peter Schlattmann

Download or read book Medical Applications of Finite Mixture Models written by Peter Schlattmann and published by Springer Science & Business Media. This book was released on 2009-03-02 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Patients are not alike! This simple truth is often ignored in the analysis of me- cal data, since most of the time results are presented for the “average” patient. As a result, potential variability between patients is ignored when presenting, e.g., the results of a multiple linear regression model. In medicine there are more and more attempts to individualize therapy; thus, from the author’s point of view biostatis- cians should support these efforts. Therefore, one of the tasks of the statistician is to identify heterogeneity of patients and, if possible, to explain part of it with known explanatory covariates. Finite mixture models may be used to aid this purpose. This book tries to show that there are a large range of applications. They include the analysis of gene - pression data, pharmacokinetics, toxicology, and the determinants of beta-carotene plasma levels. Other examples include disease clustering, data from psychophysi- ogy, and meta-analysis of published studies. The book is intended as a resource for those interested in applying these methods.

Out of Print: Essentials of Biostatistics in Public Health

Author : Lisa M. Sullivan
Publisher : Jones & Bartlett Publishers
ISBN 13 : 0763795321
Total Pages : 329 pages
Book Rating : 4.7/5 (637 download)

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Book Synopsis Out of Print: Essentials of Biostatistics in Public Health by : Lisa M. Sullivan

Download or read book Out of Print: Essentials of Biostatistics in Public Health written by Lisa M. Sullivan and published by Jones & Bartlett Publishers. This book was released on 2011-03-24 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: With a presentation style that is clear and straightforward, the text uses examples that are real, relevant, and manageable in size so that students can focus on applications rather than become overwhelmed by computations. This text is just one offering in Jones and Bartlett's unique Essential Public Health Series. Important Notice: The digital edition of this book is missing some of the images or content found in the physical edition.

Multilevel Modelling for Public Health and Health Services Research

Author : Alastair H. Leyland
Publisher : Springer Nature
ISBN 13 : 3030348016
Total Pages : 293 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Multilevel Modelling for Public Health and Health Services Research by : Alastair H. Leyland

Download or read book Multilevel Modelling for Public Health and Health Services Research written by Alastair H. Leyland and published by Springer Nature. This book was released on 2020-02-28 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book is a practical introduction to multilevel modelling or multilevel analysis (MLA) – a statistical technique being increasingly used in public health and health services research. The authors begin with a compelling argument for the importance of researchers in these fields having an understanding of MLA to be able to judge not only the growing body of research that uses it, but also to recognise the limitations of research that did not use it. The volume also guides the analysis of real-life data sets by introducing and discussing the use of the multilevel modelling software MLwiN, the statistical package that is used with the example data sets. Importantly, the book also makes the training material accessible for download – not only the datasets analysed within the book, but also a freeware version of MLwiN to allow readers to work with these datasets. The book’s practical review of MLA comprises: Theoretical, conceptual, and methodological background Statistical background The modelling process and presentation of research Tutorials with example datasets Multilevel Modelling for Public Health and Health Services Research: Health in Context is a practical and timely resource for public health and health services researchers, statisticians interested in the relationships between contexts and behaviour, graduate students across these disciplines, and anyone interested in utilising multilevel modelling or multilevel analysis. “Leyland and Groenewegen’s wealth of teaching experience makes this book and its accompanying tutorials especially useful for a practical introduction to multilevel analysis.” ̶ Juan Merlo, Professor of Social Epidemiology, Lund University “Comprehensive and insightful. A must for anyone interested in the applications of multilevel modelling to population health”. ̶ S. (Subu) V. Subramanian, Professor of Population Health and Geography, Harvard University

Probability, Statistics and Modelling in Public Health

Author : M.S. Nikulin
Publisher : Springer Science & Business Media
ISBN 13 : 0387260234
Total Pages : 501 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Probability, Statistics and Modelling in Public Health by : M.S. Nikulin

Download or read book Probability, Statistics and Modelling in Public Health written by M.S. Nikulin and published by Springer Science & Business Media. This book was released on 2006-02-10 with total page 501 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probability, Statistics and Modelling in Public Health consists of refereed contributions by expert biostatisticians that discuss various probabilistic and statistical models used in public health. Many of them are based on the work of Marvin Zelen of the Harvard School of Public Health. Topics discussed include models based on Markov and semi-Markov processes, multi-state models, models and methods in lifetime data analysis, accelerated failure models, design and analysis of clinical trials, Bayesian methods, pharmaceutical and environmental statistics, degradation models, epidemiological methods, screening programs, early detection of diseases, and measurement and analysis of quality of life.

Biostatistics for Epidemiology and Public Health Using R

Author : Bertram K.C. Chan, PhD
Publisher : Springer Publishing Company
ISBN 13 : 0826110266
Total Pages : 460 pages
Book Rating : 4.8/5 (261 download)

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Book Synopsis Biostatistics for Epidemiology and Public Health Using R by : Bertram K.C. Chan, PhD

Download or read book Biostatistics for Epidemiology and Public Health Using R written by Bertram K.C. Chan, PhD and published by Springer Publishing Company. This book was released on 2015-11-05 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since it first appeared in 1996, the open-source programming language R has become increasingly popular as an environment for statistical analysis and graphical output. In addition to being freely available, R offers several advantages for biostatistics, including strong graphics capabilities, the ability to write customized functions, and its extensibility. This is the first textbook to present classical biostatistical analysis for epidemiology and related public health sciences to students using the R language. Based on the assumption that readers have minimal familiarity with statistical concepts, the author uses a step-bystep approach to building skills. The text encompasses biostatistics from basic descriptive and quantitative statistics to survival analysis and missing data analysis in epidemiology. Illustrative examples, including real-life research problems and exercises drawn from such areas as nutrition, environmental health, and behavioral health, engage students and reinforce the understanding of R. These examples illustrate the replication of R for biostatistical calculations and graphical display of results. The text covers both essential and advanced techniques and applications in biostatistics that are relevant to epidemiology. This text is supplemented with teaching resources, including an online guide for students in solving exercises and an instructor's manual. KEY FEATURES: First overview biostatistics textbook for epidemiology and public health that uses the open-source R program Covers essential and advanced techniques and applications in biostatistics as relevant to epidemiology Features abundant examples and exercises to illustrate the application of R language for biostatistical calculations and graphical displays of results Includes online student solutions guide and instructor's manual

Modern Biostatistical Methods for Evidence-Based Global Health Research

Author : Ding-Geng (Din) Chen
Publisher : Springer Nature
ISBN 13 : 3031110129
Total Pages : 489 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Modern Biostatistical Methods for Evidence-Based Global Health Research by : Ding-Geng (Din) Chen

Download or read book Modern Biostatistical Methods for Evidence-Based Global Health Research written by Ding-Geng (Din) Chen and published by Springer Nature. This book was released on 2022-11-25 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of the emerging topics in biostatistical theories and methods through their applications to evidence-based global health research and decision-making. It brings together some of the top scholars engaged in biostatistical method development on global health to highlight and describe recent advances in evidence-based global health applications. The volume is composed of five main parts: data harmonization and analysis; systematic review and statistical meta-analysis; spatial-temporal modeling and disease mapping; Bayesian statistical modeling; and statistical methods for longitudinal data or survival data. It is designed to be illuminating and valuable to both expert biostatisticians and to health researchers engaged in methodological applications in evidence-based global health research. It is particularly relevant to countries where global health research is being rigorously conducted.

Statistical Methods for Global Health and Epidemiology

Author : Xinguang Chen
Publisher : Springer Nature
ISBN 13 : 3030352609
Total Pages : 420 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Statistical Methods for Global Health and Epidemiology by : Xinguang Chen

Download or read book Statistical Methods for Global Health and Epidemiology written by Xinguang Chen and published by Springer Nature. This book was released on 2020-04-13 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.