Probability Statistics And Modelling In Public Health

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Probability, Statistics and Modelling in Public Health

M.S. Nikulin,Daniel Commenges,Catherine Huber-Carol
Probability Statistics and Modelling in Public Health Book PDF

Author : M.S. Nikulin,Daniel Commenges,Catherine Huber-Carol
Publisher : Springer Science & Business Media
Page : 501 pages
File Size : 40,9 Mb
Release : 2006-02-10
Category : Medical
ISBN : 9780387260235

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Probability, Statistics and Modelling in Public Health by M.S. Nikulin,Daniel Commenges,Catherine Huber-Carol Pdf

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.

Probability, Statistics and Modeling in Public Health

Phillis Cousins
Probability Statistics and Modeling in Public Health Book PDF

Author : Phillis Cousins
Publisher : Hayle Medical
Page : 0 pages
File Size : 40,5 Mb
Release : 2023-09-26
Category : Medical
ISBN : 1646475895

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Probability, Statistics and Modeling in Public Health by Phillis Cousins Pdf

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.

Statistical Models in Epidemiology

D. Clayton,M. Hills
Statistical Models in Epidemiology Book PDF

Author : D. Clayton,M. Hills
Publisher : Unknown
Page : 367 pages
File Size : 48,7 Mb
Release : 2001
Category : Electronic
ISBN : OCLC:476089882

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Statistical Models in Epidemiology by D. Clayton,M. Hills Pdf

This book aims to give a self-contained account of the statistical basis of epidemiology. The book is intended primarily for students enrolled for a masters degree in epidemiology, clinical epidemiology, or biostatistics, and should be suitable both as the basis for a taught course and for private study. No previous knowledge is assumed, and the mathematical level has been chosen to suit readers whose basic training is in biology. The most important concept in statistics is the probability model. All statistical analysis of data is based on probability models, even though these may not be explicit. Only by fully understanding the model can one fully understand the analysis. In showing how to use models in epidemiology the authors have chosen to emphasize the role of likelihood. This is an approach to statistics which is both simple and intuitively satisfying, and has the additional advantage that it requires the model and its parameters to be made explicit, even in the simplest situations.

Disease Modelling and Public Health

Anonim
Disease Modelling and Public Health Book PDF

Author : Anonim
Publisher : Elsevier
Page : 500 pages
File Size : 42,9 Mb
Release : 2017-10-23
Category : Mathematics
ISBN : 9780444639691

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Disease Modelling and Public Health by Anonim Pdf

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

Model-based Geostatistics for Global Public Health

Peter J. Diggle,Emanuele Giorgi
Model based Geostatistics for Global Public Health Book PDF

Author : Peter J. Diggle,Emanuele Giorgi
Publisher : CRC Press
Page : 248 pages
File Size : 53,5 Mb
Release : 2019-03-04
Category : Mathematics
ISBN : 9781351743273

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Model-based Geostatistics for Global Public Health by Peter J. Diggle,Emanuele Giorgi Pdf

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.

Encyclopedia of Public Health

Wilhelm Kirch
Encyclopedia of Public Health Book PDF

Author : Wilhelm Kirch
Publisher : Springer Science & Business Media
Page : 1611 pages
File Size : 48,5 Mb
Release : 2008-06-13
Category : Medical
ISBN : 9781402056130

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Encyclopedia of Public Health by Wilhelm Kirch Pdf

The Encyclopedic Reference of Public Health presents the most important definitions, principles and general perspectives of public health, written by experts of the different fields. The work includes more than 2,500 alphabetical entries. Entries comprise review-style articles, detailed essays and short definitions. Numerous figures and tables enhance understanding of this little-understood topic. Solidly structured and inclusive, this two-volume reference is an invaluable tool for clinical scientists and practitioners in academia, health care and industry, as well as students, teachers and interested laypersons.

Multilevel Modelling of Health Statistics

A. H. Leyland,Harvey Goldstein
Multilevel Modelling of Health Statistics Book PDF

Author : A. H. Leyland,Harvey Goldstein
Publisher : Wiley
Page : 0 pages
File Size : 43,6 Mb
Release : 2001-03-30
Category : Mathematics
ISBN : 0471998907

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Multilevel Modelling of Health Statistics by A. H. Leyland,Harvey Goldstein Pdf

Multilevel modelling facilitates the analysis of hierarchical data where observations may be nested within higher levels of classification. In health care research, for example, a study may be undertaken to determine the variability of patient outcomes where these also vary by hospital or health care region. Inference can then be made on the efficacy of health care practices. This book provides the reader with the analytical techniques required to study such data sets. * First book to focus on multilevel modelling for health and medical research * Covers the majority of analytical techniques required by health care professionals * Unifies the literature on multilevel modelling for medical and health researchers * Each contribution comes from a specialist in that area Guiding the reader through various stages, from a basic introduction through to methodological extensions and generalised linear models, this test will show how various kinds of data can be analysed in a multilevel framework. Important statistical concepts, such as sampling and outliers, are covered specifically for multilevel data. Repeated measures, outliers, institutional performance, and spatial analysis, which have great relevance to health and medical research, are all examined for multilevel models. The book is aimed at health care professionals and public health researchers interested in the application of statistics, and will also be of interest to postgraduate students studying medical statistics. Wiley Series in Probability and Statistics

Applications of Regression Models in Epidemiology

Erick Suárez,Cynthia M. Pérez,Roberto Rivera,Melissa N. Martínez
Applications of Regression Models in Epidemiology Book PDF

Author : Erick Suárez,Cynthia M. Pérez,Roberto Rivera,Melissa N. Martínez
Publisher : John Wiley & Sons
Page : 276 pages
File Size : 53,9 Mb
Release : 2017-02-28
Category : Mathematics
ISBN : 9781119212485

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Applications of Regression Models in Epidemiology by Erick Suárez,Cynthia M. Pérez,Roberto Rivera,Melissa N. Martínez Pdf

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.

Statistical Models in Epidemiology

David Clayton,Michael Hills
Statistical Models in Epidemiology Book PDF

Author : David Clayton,Michael Hills
Publisher : OUP Oxford
Page : 384 pages
File Size : 43,9 Mb
Release : 2013-01-17
Category : Medical
ISBN : 9780191650918

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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 specifically for those with a basic training in biology, therefore no previous knowledge is assumed and the mathematics is deliberately kept at a manageable level. The authors show how all statistical analysis of data is based on probability models, and once one understands the model, analysis follows easily. In showing how to use models in epidemiology the authors have chosen to emphasize the role of likelihood, an approach to statistics which is both simple and intuitively satisfying. More complex problems can then be tackled by natural extensions of the simple methods. Based on a highly successful course, this book explains the essential statistics for all epidemiologists.

Innovative Statistical Methods for Public Health Data

Ding-Geng (Din) Chen,Jeffrey Wilson
Innovative Statistical Methods for Public Health Data Book PDF

Author : Ding-Geng (Din) Chen,Jeffrey Wilson
Publisher : Springer
Page : 351 pages
File Size : 55,5 Mb
Release : 2015-08-31
Category : Medical
ISBN : 9783319185361

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Innovative Statistical Methods for Public Health Data by Ding-Geng (Din) Chen,Jeffrey Wilson Pdf

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.

Disease Modelling and Public Health

Anonim
Disease Modelling and Public Health Book PDF

Author : Anonim
Publisher : Elsevier
Page : 390 pages
File Size : 45,7 Mb
Release : 2017-10-31
Category : Mathematics
ISBN : 9780444639769

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Disease Modelling and Public Health by Anonim Pdf

Handbook of Statistics: Disease Modelling and Public Health, Part B, Volume 37 addresses new challenges in existing and emerging diseases. As a two part volume, this title covers an extensive range of techniques in the field, with this book including chapters on Reaction diffusion equations and their application on bacterial communication, Spike and slab methods in disease modeling, Mathematical modeling of mass screening and parameter estimation, Individual-based and agent-based models for infectious disease transmission and evolution: an overview, and a section on Visual Clustering of Static and Dynamic High Dimensional Data. This series covers the lack of availability of complete data relating to disease symptoms and disease epidemiology, one of the biggest challenges facing vaccine developers, public health planners, epidemiologists and health sector researchers. 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

Mathematical and Statistical Modeling for Emerging and Re-emerging Infectious Diseases

Gerardo Chowell,James M. Hyman
Mathematical and Statistical Modeling for Emerging and Re emerging Infectious Diseases Book PDF

Author : Gerardo Chowell,James M. Hyman
Publisher : Springer
Page : 356 pages
File Size : 45,9 Mb
Release : 2016-07-27
Category : Mathematics
ISBN : 9783319404134

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Mathematical and Statistical Modeling for Emerging and Re-emerging Infectious Diseases by Gerardo Chowell,James M. Hyman Pdf

The contributions by epidemic modeling experts describe how mathematical models and statistical forecasting are created to capture the most important aspects of an emerging epidemic.Readers will discover a broad range of approaches to address questions, such as Can we control Ebola via ring vaccination strategies? How quickly should we detect Ebola cases to ensure epidemic control? What is the likelihood that an Ebola epidemic in West Africa leads to secondary outbreaks in other parts of the world? When does it matter to incorporate the role of disease-induced mortality on epidemic models? What is the role of behavior changes on Ebola dynamics? How can we better understand the control of cholera or Ebola using optimal control theory? How should a population be structured in order to mimic the transmission dynamics of diseases such as chlamydia, Ebola, or cholera? How can we objectively determine the end of an epidemic? How can we use metapopulation models to understand the role of movement restrictions and migration patterns on the spread of infectious diseases? How can we capture the impact of household transmission using compartmental epidemic models? How could behavior-dependent vaccination affect the dynamical outcomes of epidemic models? The derivation and analysis of the mathematical models addressing these questions provides a wide-ranging overview of the new approaches being created to better forecast and mitigate emerging epidemics. This book will be of interest to researchers in the field of mathematical epidemiology, as well as public health workers.

Advances in Degradation Modeling

M.S. Nikulin,Nikolaos Limnios,N. Balakrishnan,Waltraud Kahle,Catherine Huber-Carol
Advances in Degradation Modeling Book PDF

Author : M.S. Nikulin,Nikolaos Limnios,N. Balakrishnan,Waltraud Kahle,Catherine Huber-Carol
Publisher : Springer Science & Business Media
Page : 436 pages
File Size : 52,9 Mb
Release : 2010-07-08
Category : Mathematics
ISBN : 9780817649241

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Advances in Degradation Modeling by M.S. Nikulin,Nikolaos Limnios,N. Balakrishnan,Waltraud Kahle,Catherine Huber-Carol Pdf

This volume is a collection of invited chapters covering recent advances in accelerated life testing and degradation models. The book covers a wide range of applications to areas such as reliability, quality control, the health sciences, economics and finance. It is an excellent reference for researchers and practitioners in applied probability and statistics, industrial statistics, the health sciences, quality control, economics, and finance.

Applied Spatial Statistics for Public Health Data

Lance A. Waller,Carol A. Gotway
Applied Spatial Statistics for Public Health Data Book PDF

Author : Lance A. Waller,Carol A. Gotway
Publisher : John Wiley & Sons
Page : 522 pages
File Size : 44,8 Mb
Release : 2004-07-29
Category : Mathematics
ISBN : 9780471662679

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Applied Spatial Statistics for Public Health Data by Lance A. Waller,Carol A. Gotway Pdf

While mapped data provide a common ground for discussions between the public, the media, regulatory agencies, and public health researchers, the analysis of spatially referenced data has experienced a phenomenal growth over the last two decades, thanks in part to the development of geographical information systems (GISs). This is the first thorough overview to integrate spatial statistics with data management and the display capabilities of GIS. It describes methods for assessing the likelihood of observed patterns and quantifying the link between exposures and outcomes in spatially correlated data. This introductory text is designed to serve as both an introduction for the novice and a reference for practitioners in the field Requires only minimal background in public health and only some knowledge of statistics through multiple regression Touches upon some advanced topics, such as random effects, hierarchical models and spatial point processes, but does not require prior exposure Includes lavish use of figures/illustrations throughout the volume as well as analyses of several data sets (in the form of "data breaks") Exercises based on data analyses reinforce concepts

The Cox Model and Its Applications

Mikhail Nikulin,Hong-Dar Isaac Wu
The Cox Model and Its Applications Book PDF

Author : Mikhail Nikulin,Hong-Dar Isaac Wu
Publisher : Springer
Page : 124 pages
File Size : 43,5 Mb
Release : 2016-04-11
Category : Mathematics
ISBN : 9783662493328

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The Cox Model and Its Applications by Mikhail Nikulin,Hong-Dar Isaac Wu Pdf

This book will be of interest to readers active in the fields of survival analysis, genetics, ecology, biology, demography, reliability and quality control. Since Sir David Cox’s pioneering work in 1972, the proportional hazards model has become the most important model in survival analysis. The success of the Cox model stimulated further studies in semiparametric and nonparametric theories, counting process models, study designs in epidemiology, and the development of many other regression models that could offer more flexible or more suitable approaches in data analysis. Flexible semiparametric regression models are increasingly being used to relate lifetime distributions to time-dependent explanatory variables. Throughout the book, various recent statistical models are developed in close connection with specific data from experimental studies in clinical trials or from observational studies.