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Biostatistics And Computer Based Analysis Of Health Data Using R

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Biostatistics and Computer based Analysis of Health Data using R

Biostatistics and Computer based Analysis of Health Data using R Book
Author : Christophe Lalanne,Mounir Mesbah
Publisher : Elsevier
Release : 2016-07-13
ISBN : 008101175X
Language : En, Es, Fr & De

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Book Description :

Biostatistics and Computer-Based Analysis of Health Data Using the R Software addresses the concept that many of the actions performed by statistical software comes back to the handling, manipulation, or even transformation of digital data. It is therefore of primary importance to understand how statistical data is displayed and how it can be exploited by software such as R. In this book, the authors explore basic and variable commands, sample comparisons, analysis of variance, epidemiological studies, and censored data. With proposed applications and examples of commands following each chapter, this book allows readers to apply advanced statistical concepts to their own data and software. Features useful commands for describing a data table composed made up of quantitative and qualitative variables Includes measures of association encountered in epidemiological studies, odds ratio, relative risk, and prevalence Presents an analysis of censored data, the key main tests associated with the construction of a survival curve (log-rank test or Wilcoxon), and the Cox regression model

Biostatistics and Computer based Analysis of Health Data Using SAS

Biostatistics and Computer based Analysis of Health Data Using SAS Book
Author : Christophe Lalanne,Mounir Mesbah
Publisher : Elsevier
Release : 2017-06-22
ISBN : 0081011717
Language : En, Es, Fr & De

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Book Description :

This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research. The use of SAS for data management and statistical modeling is illustrated using various examples. Many aspects of data processing and statistical analysis of cross-sectional and experimental medical data are covered, including regression models commonly found in medical statistics. This practical book is primarily intended for health researchers with a basic knowledge of statistical methodology. Assuming basic concepts, the authors focus on the practice of biostatistical methods essential to clinical research, epidemiology and analysis of biomedical data (including comparison of two groups, analysis of categorical data, ANOVA, linear and logistic regression, and survival analysis). The use of examples from clinical trials and epidemiological studies provide the basis for a series of practical exercises, which provide instruction and familiarize the reader with essential SAS commands. Presents the use of SAS software in the statistical approach for the management of data modeling Includes elements of the language and descriptive statistics Supplies measures of association, comparison of means, and proportions for two or more samples Explores linear and logistic regression Provides survival data analysis

Biostatistics and Computer based Analysis of Health Data using Stata

Biostatistics and Computer based Analysis of Health Data using Stata Book
Author : Christophe Lalanne,Mounir Mesbah
Publisher : Elsevier
Release : 2016-09-06
ISBN : 0081010842
Language : En, Es, Fr & De

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Book Description :

This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research. The use of Stata for data management and statistical modeling is illustrated using various examples. Many aspects of data processing and statistical analysis of cross-sectional and experimental medical data are covered, including regression models commonly found in medical statistics. This practical book is primarily intended for health researchers with basic knowledge of statistical methodology. Assuming basic concepts, the authors focus on the practice of biostatistical methods essential to clinical research, epidemiology and analysis of biomedical data (including comparison of two groups, analysis of categorical data, ANOVA, linear and logistic regression, and survival analysis). The use of examples from clinical trials and epideomological studies provide the basis for a series of practical exercises, which provide instruction and familiarize the reader with essential Stata packages and commands. Provides detailed examples of the use of Stata for common biostatistical tasks in medical research Features a work program structured around the four previous chapters and a series of practical exercises with commented corrections Includes an appendix to help the reader familiarize themselves with additional packages and commands Focuses on the practice of biostatistical methods that are essential to clinical research, epidemiology, and analysis of biomedical data

Analysis in Nutrition Research

Analysis in Nutrition Research Book
Author : George Pounis
Publisher : Academic Press
Release : 2018-10-19
ISBN : 0128145579
Language : En, Es, Fr & De

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Book Description :

Analysis in Nutrition Research: Principles of Statistical Methodology and Interpretation of the Results describes, in a comprehensive manner, the methodologies of quantitative analysis of data originating specifically from nutrition studies. The book summarizes various study designs in nutrition research, research hypotheses, the proper management of dietary data, and analytical methodologies, with a specific focus on how to interpret the results of any given study. In addition, it provides a comprehensive overview of the methodologies used in study design and the management and analysis of collected data, paying particular attention to all of the available, modern methodologies and techniques. Users will find an overview of the recent challenges and debates in the field of nutrition research that will define major research hypotheses for research in the next ten years. Nutrition scientists, researchers and undergraduate and postgraduate students will benefit from this thorough publication on the topic. Provides a comprehensive presentation of the various study designs applied in nutrition research Contains a parallel description of statistical methodologies used for each study design Presents data management methodologies used specifically in nutrition research Describes methodologies using both a theoretical and applied approach Illustrates modern techniques in dietary pattern analysis Summarizes current topics in the field of nutrition research that will define major research hypotheses for research in the next ten years

Biostatistics for Epidemiology and Public Health Using R

Biostatistics for Epidemiology and Public Health Using R Book
Author : Bertram K.C. Chan, PhD
Publisher : Springer Publishing Company
Release : 2015-11-05
ISBN : 0826110266
Language : En, Es, Fr & De

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Book Description :

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. 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-by-step 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 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. Also included are an instructor's guide, student solutions manual, and downloadable data sets. 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 to illustrate the application of R language for biostatistical calculations and graphical displays of results Includes instructor's guide, student solutions manual, and downloadable data sets.

Research Methods for Public Health

Research Methods for Public Health Book
Author : Amy A. Eyler, PhD, CHES
Publisher : Springer Publishing Company
Release : 2020-11-05
ISBN : 0826182062
Language : En, Es, Fr & De

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Book Description :

Note to Readers: Publisher does not guarantee quality or access to any included digital components if book is purchased through a third-party seller. Research Methods for Public Health provides foundational knowledge and practical guidance for all steps in the research process using public health examples and real-world applications to reinforce all concepts. It covers everything students need to have a firm basis on how to design public health research, how to collect and manage data using a variety of study designs and methods, and how to share research results. Foundational topics such as searching the literature, finding gaps, formulating research questions, operationalization and measurement, sampling, budgeting for research studies, summarizing and visualizing data, disseminating results and more are explained in clear and accessible prose. The textbook emphasizes skills including question development, survey design and implementation, qualitative methodology, mixed methods research, how to record and analyze quantitative and qualitative data, and how to use secondary data. Regardless of whether you are starting your scientific research career path, or are on track to become a public health practitioner, or plan on becoming a health policymaker, this textbook provides an authoritative introduction to research and its importance on improving public health practice for everyone entering the field. Richly illustrated and with an abundance of helpful tables, boxes, and practical public health case studies and examples, this textbook contains the core principles, concepts, and knowledge of how to design, plan, evaluate, and disseminate public health research. Research Methods for Public Health comes with a full Instructor package including PowerPoints, test banks, and an Instructor’s Manual with detailed classroom activities, CEPH competency mapping, and more. Key Features: Provides the principles and best practices of general research methods texts combined with specific public health relevance Applicable to students who want to conduct research as part of their career as well as those who need the skills to understand how public health evidence is developed through research Includes chapters on Developing Budgets and Timelines for Research Studies and Disseminating Research Results, topics often overlooked in other textbooks Aligns content with program competencies and skills essential for those entering the public health field Contains numerous illustrations, tables, boxes, and case studies which provide important context to key concepts

Introduction to Data Analysis and Graphical Presentation in Biostatistics with R

Introduction to Data Analysis and Graphical Presentation in Biostatistics with R Book
Author : Thomas W. MacFarland
Publisher : Springer
Release : 2013-11-29
ISBN : 9783319025315
Language : En, Es, Fr & De

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Book Description :

Through real-world datasets, this book shows the reader how to work with material in biostatistics using the open source software R. These include tools that are critical to dealing with missing data, which is a pressing scientific issue for those engaged in biostatistics. Readers will be equipped to run analyses and make graphical presentations based on the sample dataset and their own data. The hands-on approach will benefit students and ensure the accessibility of this book for readers with a basic understanding of R. Topics include: an introduction to Biostatistics and R, data exploration, descriptive statistics and measures of central tendency, t-Test for independent samples, t-Test for matched pairs, ANOVA, correlation and linear regression, and advice for future work.

Research Awards Index

Research Awards Index Book
Author : Anonim
Publisher : Unknown
Release : 1985
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Research Awards Index book written by , available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Biomedical Index to PHS supported Research

Biomedical Index to PHS supported Research Book
Author : Anonim
Publisher : Unknown
Release : 1991
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Biomedical Index to PHS supported Research book written by , available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data

Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data Book
Author : Akash Kumar Bhoi,Victor Hugo Costa de Albuquerque,Parvathaneni Naga Srinivasu,Goncalo Marques
Publisher : Academic Press
Release : 2022-01-28
ISBN : 0323903487
Language : En, Es, Fr & De

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Book Description :

Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data discusses the insight of data processing applications in various domains through soft computing techniques and enormous advancements in the field. The book focuses on the cross-disciplinary mechanisms and ground-breaking research ideas on novel techniques and data processing approaches in handling structured and unstructured healthcare data. It also gives insight into various information-processing models and many memories associated with it while processing the information for forecasting future trends and decision making. This book is an excellent resource for researchers and professionals who work in the Healthcare Industry, Data Science, and Machine learning. Focuses on data-centric operations in the Healthcare industry Provides the latest trends in healthcare data analytics and practical implementation outcomes of the proposed models Addresses real-time challenges and case studies in the Healthcare industry

A Biostatistics Toolbox for Data Analysis

A Biostatistics Toolbox for Data Analysis Book
Author : Anonim
Publisher : Unknown
Release : 2022-05-20
ISBN : 1107113083
Language : En, Es, Fr & De

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Book Description :

Download A Biostatistics Toolbox for Data Analysis book written by , available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Digital Innovation for Healthcare in COVID 19 Pandemic Strategies and Solutions

Digital Innovation for Healthcare in COVID 19 Pandemic  Strategies and Solutions Book
Author : Patricia Ordóñez de Pablos,Kwok Tai Chui,Miltiadis D. Lytras
Publisher : Academic Press
Release : 2022-03-25
ISBN : 0128232102
Language : En, Es, Fr & De

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Book Description :

Digital Innovation for Healthcare in COVID-19 Pandemic: Strategies and Solutions provides comprehensive knowledge and insights on the application of information technologies in the healthcare sector, sharing experiences from leading researchers and academics from around the world. The book presents innovative ideas, solutions and examples to deal with one of the major challenges of the world, a global problem with health, economic and political dimensions. Advanced information technologies can play a key role in solving problems generated by the COVID-19 outbreak. The book addresses how science, technology and innovation can provide advances and solutions to new global health challenges. This is a valuable resource for researchers, clinicians, healthcare workers, policymakers and members of the biomedical field who are interested in learning how digital technologies can help us avoid and solve global disease dissemination. Presents real-world cases with experiences of applications of healthcare solutions during the pandemic of COVID-19 Discusses new approaches, theories and tools developed during an unprecedented health situation and how they can be used afterwards Encompasses information on preparedness for future outbreaks to make less costly and more effective healthcare responses to crises

Research Grants Index

Research Grants Index Book
Author : National Institutes of Health (U.S.). Division of Research Grants
Publisher : Unknown
Release : 1975
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Research Grants Index book written by National Institutes of Health (U.S.). Division of Research Grants, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Health Services Reports

Health Services Reports Book
Author : Anonim
Publisher : Unknown
Release : 1974
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Health Services Reports book written by , available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Public Health Reports

Public Health Reports Book
Author : Anonim
Publisher : Unknown
Release : 1974
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Public Health Reports book written by , available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Cumulated Index Medicus

Cumulated Index Medicus Book
Author : Anonim
Publisher : Unknown
Release : 1977
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Cumulated Index Medicus book written by , available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Cancer Treatment Reports

Cancer Treatment Reports Book
Author : Anonim
Publisher : Unknown
Release : 1986-05
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Cancer Treatment Reports book written by , available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Foundations of Linear and Generalized Linear Models

Foundations of Linear and Generalized Linear Models Book
Author : Alan Agresti
Publisher : John Wiley & Sons
Release : 2015-01-15
ISBN : 1118730054
Language : En, Es, Fr & De

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Book Description :

A valuable overview of the most important ideas and results in statistical modeling Written by a highly-experienced author, Foundations of Linear and Generalized Linear Models is a clear and comprehensive guide to the key concepts and results of linearstatistical models. The book presents a broad, in-depth overview of the most commonly usedstatistical models by discussing the theory underlying the models, R software applications,and examples with crafted models to elucidate key ideas and promote practical modelbuilding. The book begins by illustrating the fundamentals of linear models, such as how the model-fitting projects the data onto a model vector subspace and how orthogonal decompositions of the data yield information about the effects of explanatory variables. Subsequently, the book covers the most popular generalized linear models, which include binomial and multinomial logistic regression for categorical data, and Poisson and negative binomial loglinear models for count data. Focusing on the theoretical underpinnings of these models, Foundations ofLinear and Generalized Linear Models also features: An introduction to quasi-likelihood methods that require weaker distributional assumptions, such as generalized estimating equation methods An overview of linear mixed models and generalized linear mixed models with random effects for clustered correlated data, Bayesian modeling, and extensions to handle problematic cases such as high dimensional problems Numerous examples that use R software for all text data analyses More than 400 exercises for readers to practice and extend the theory, methods, and data analysis A supplementary website with datasets for the examples and exercises An invaluable textbook for upper-undergraduate and graduate-level students in statistics and biostatistics courses, Foundations of Linear and Generalized Linear Models is also an excellent reference for practicing statisticians and biostatisticians, as well as anyone who is interested in learning about the most important statistical models for analyzing data.