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Biostatistics and Computer-based Analysis of Health Data using R

Biostatistics and Computer-based Analysis of Health Data using R
A Book

by Christophe Lalanne,Mounir Mesbah

  • Publisher : Elsevier
  • Release : 2016-07-13
  • Pages : 206
  • ISBN : 008101175X
  • Language : En, Es, Fr & De
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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
A Book

by Christophe Lalanne,Mounir Mesbah

  • Publisher : Elsevier
  • Release : 2017-06-22
  • Pages : 174
  • ISBN : 0081011717
  • Language : En, Es, Fr & De
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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
A Book

by Christophe Lalanne,Mounir Mesbah

  • Publisher : Elsevier
  • Release : 2016-09-06
  • Pages : 134
  • ISBN : 0081010842
  • Language : En, Es, Fr & De
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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
Principles of Statistical Methodology and Interpretation of the Results

by George Pounis

  • Publisher : Academic Press
  • Release : 2018-10-19
  • Pages : 408
  • ISBN : 0128145579
  • Language : En, Es, Fr & De
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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

Research Methods for Public Health

Research Methods for Public Health
A Book

by Amy A. Eyler, PhD, CHES

  • Publisher : Springer Publishing Company
  • Release : 2020-11-05
  • Pages : 456
  • ISBN : 0826182062
  • Language : En, Es, Fr & De
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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

Biostatistics for Epidemiology and Public Health Using R

Biostatistics for Epidemiology and Public Health Using R
A Book

by Bertram K.C. Chan, PhD

  • Publisher : Springer Publishing Company
  • Release : 2015-11-05
  • Pages : 500
  • ISBN : 0826110266
  • Language : En, Es, Fr & De
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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 Awards Index

Research Awards Index
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 1985
  • Pages : 129
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Biomedical Index to PHS-supported Research

Biomedical Index to PHS-supported Research
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 1989
  • Pages : 129
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data

Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data
A Book

by Akash Kumar Bhoi,Victor Hugo Costa de Albuquerque,Parvathaneni Naga Srinivasu,Goncalo Marques

  • Publisher : Academic Press
  • Release : 2022-01-28
  • Pages : 294
  • ISBN : 0323903487
  • Language : En, Es, Fr & De
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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
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 2022
  • Pages : 129
  • ISBN : 1107113083
  • Language : En, Es, Fr & De
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Digital Innovation for Healthcare in COVID-19 Pandemic: Strategies and Solutions

Digital Innovation for Healthcare in COVID-19 Pandemic: Strategies and Solutions
A Book

by Patricia Ordóñez de Pablos,Kwok Tai Chui,Miltiadis D. Lytras

  • Publisher : Academic Press
  • Release : 2022-03-25
  • Pages : 456
  • ISBN : 0128232102
  • Language : En, Es, Fr & De
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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

Cumulated Index Medicus

Cumulated Index Medicus
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 1980
  • Pages : 129
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Health Services Reports

Health Services Reports
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 1974
  • Pages : 129
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Public Health Reports

Public Health Reports
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 1974
  • Pages : 129
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Cancer Treatment Reports

Cancer Treatment Reports
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 1986-05
  • Pages : 129
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Introduction to Data Analysis and Graphical Presentation in Biostatistics with R

Introduction to Data Analysis and Graphical Presentation in Biostatistics with R
Statistics in the Large

by Thomas W. MacFarland

  • Publisher : Springer
  • Release : 2013-11-29
  • Pages : 167
  • ISBN : 9783319025315
  • Language : En, Es, Fr & De
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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.

Spatial Agent-Based Simulation Modeling in Public Health

Spatial Agent-Based Simulation Modeling in Public Health
Design, Implementation, and Applications for Malaria Epidemiology

by S. M. Niaz Arifin,Gregory R. Madey,Frank H. Collins

  • Publisher : John Wiley & Sons
  • Release : 2016-04-11
  • Pages : 320
  • ISBN : 1118964357
  • Language : En, Es, Fr & De
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Presents an overview of the complex biological systems used within a global public health setting and features a focus on malaria analysis Bridging the gap between agent-based modeling and simulation (ABMS) and geographic information systems (GIS), Spatial Agent-Based Simulation Modeling in Public Health: Design, Implementation, and Applications for Malaria Epidemiology provides a useful introduction to the development of agent-based models (ABMs) by following a conceptual and biological core model of Anopheles gambiae for malaria epidemiology. Using spatial ABMs, the book includes mosquito (vector) control interventions and GIS as two example applications of ABMs, as well as a brief description of epidemiology modeling. In addition, the authors discuss how to most effectively integrate spatial ABMs with a GIS. The book concludes with a combination of knowledge from entomological, epidemiological, simulation-based, and geo-spatial domains in order to identify and analyze relationships between various transmission variables of the disease. Spatial Agent-Based Simulation Modeling in Public Health: Design, Implementation, and Applications for Malaria Epidemiology also features: Location-specific mosquito abundance maps that play an important role in malaria control activities by guiding future resource allocation for malaria control and identifying hotspots for further investigation Discussions on the best modeling practices in an effort to achieve improved efficacy, cost-effectiveness, ecological soundness, and sustainability of vector control for malaria An overview of the various ABMs, GIS, and spatial statistical methods used in entomological and epidemiological studies, as well as the model malaria study A companion website with computer source code and flowcharts of the spatial ABM and a landscape generator tool that can simulate landscapes with varying spatial heterogeneity of different types of resources including aquatic habitats and houses Spatial Agent-Based Simulation Modeling in Public Health: Design, Implementation, and Applications for Malaria Epidemiology is an excellent reference for professionals such as modeling and simulation experts, GIS experts, spatial analysts, mathematicians, statisticians, epidemiologists, health policy makers, as well as researchers and scientists who use, manage, or analyze infectious disease data and/or infectious disease-related projects. The book is also ideal for graduate-level courses in modeling and simulation, bioinformatics, biostatistics, public health and policy, and epidemiology. S. M. Niaz Arifin, PhD, is Research Assistant Professor in the Department of Computer Science and Engineering at the University of Notre Dame. A member of The Society for Computer Simulation, and American Society of Tropical Medicine and Hygiene, and the recipient of The American Society of Tropical Medicine and Hygiene Travel Award in 2011, his research interests include agent-based modeling and simulation, public health, data warehousing, and geographic information systems. Gregory R. Madey, PhD, is Research Professor in the Department of Computer Science and Engineering at the University of Notre Dame. A member of The Society for Computer Simulation, Institute of Electrical and Electronics Engineers Computer Society, and American Society of Tropical Medicine and Hygiene, his research interests include agent-based modeling and simulation, cyberinfrastructure, bioinformatics, biocomplexity, e-Technologies, open source software, disaster management, and health informatics. Frank H. Collins, PhD, is Professor in the Department of Biological Sciences at the University of Notre Dame. His research interests include genome level studies of arthropod vectors of human pathogens, the biology of malaria vectors with a focus on the development of molecular tools that will permit better resolution of questions about vector population ecology, ecological genetics, and the epidemiology of malaria transmission.

Medical Informatics, Biostatistics and Epidemiology for Efficient Health Care and Medical Research

Medical Informatics, Biostatistics and Epidemiology for Efficient Health Care and Medical Research
Contributions from the 44th Annual Conference of the GMDS / Beiträge Von Der 44. Jahrestagung Der GMDS Heidelberg, September 1999

by N. Victor

  • Publisher : Springer
  • Release : 2000-07-10
  • Pages : 349
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Research Grants Index

Research Grants Index
A Book

by National Institutes of Health (U.S.). Division of Research Grants

  • Publisher : Unknown Publisher
  • Release : 1975
  • Pages : 129
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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National Library of Medicine Current Catalog

National Library of Medicine Current Catalog
Annual cumulation

by National Library of Medicine (U.S.)

  • Publisher : Unknown Publisher
  • Release : 1970
  • Pages : 129
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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First multi-year cumulation covers six years: 1965-70.