Biostatistics For Epidemiology And Public Health Using R

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Biostatistics for Epidemiology and Public Health Using R

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

Author : Bertram K.C. Chan, PhD
Publisher : Springer Publishing Company
Page : 500 pages
File Size : 48,7 Mb
Release : 2015-11-05
Category : Medical
ISBN : 9780826110268

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

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.

Biostatistics for Clinical and Public Health Research

Melody S. Goodman
Biostatistics for Clinical and Public Health Research Book PDF

Author : Melody S. Goodman
Publisher : Routledge
Page : 540 pages
File Size : 43,6 Mb
Release : 2017-12-14
Category : Medical
ISBN : 9781351651714

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Biostatistics for Clinical and Public Health Research by Melody S. Goodman Pdf

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.

Biostatistics and Epidemiology

Sylvia Wassertheil-Smoller
Biostatistics and Epidemiology Book PDF

Author : Sylvia Wassertheil-Smoller
Publisher : Springer Science & Business Media
Page : 249 pages
File Size : 42,6 Mb
Release : 2004-02-11
Category : Medical
ISBN : 9780387402925

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Biostatistics and Epidemiology by Sylvia Wassertheil-Smoller Pdf

For the new edition of Biostatistics and Epidemiology, Dr. Wassertheil-Smoller has included several new chapters (genetic statistics, molecular epidemiology, scientific integrity and research ethics) and a new appendix on the basic concepts of genetics and a glossary of genetic terminology. She has also expanded the coverage of multi-center trials (an important aspect of implementation of the standards of evidence-based medicine), controversies in screening for prostate, colon, breast, and other cancers.

Epidemiology with R

Bendix Carstensen
Epidemiology with R Book PDF

Author : Bendix Carstensen
Publisher : Oxford University Press, USA
Page : 246 pages
File Size : 48,8 Mb
Release : 2021-01-14
Category : Medical
ISBN : 9780198841326

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Epidemiology with R by Bendix Carstensen Pdf

This practical guide is designed for students and researchers with an existing knowledge of R who wish to learn how to apply it in an epidemiological context and exploit its versatility. It also serves as a broader introduction to the quantitative aspects of modern practical epidemiology. The standard tools used in epidemiology are described and the practical use of R for these is clearly explained and laid out. R code examples, many with output, are embedded throughout the text. The entire code is also available on the companion website so that readers can reproduce all the results and graphs featured in the book. Epidemiology with R is an advanced textbook suitable for senior undergraduate and graduate students, professional researchers, and practitioners in the fields of human and non-human epidemiology, public health, veterinary science, and biostatistics.

Biostatistics in Public Health Using STATA

Erick L. Suárez,Cynthia M. Pérez,Graciela M. Nogueras,Camille Moreno-Gorrín
Biostatistics in Public Health Using STATA Book PDF

Author : Erick L. Suárez,Cynthia M. Pérez,Graciela M. Nogueras,Camille Moreno-Gorrín
Publisher : CRC Press
Page : 202 pages
File Size : 43,5 Mb
Release : 2016-03-24
Category : Mathematics
ISBN : 9781498722025

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Biostatistics in Public Health Using STATA by Erick L. Suárez,Cynthia M. Pérez,Graciela M. Nogueras,Camille Moreno-Gorrín Pdf

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

Biostatistics and Epidemiology

Sylvia Wassertheil-Smoller
Biostatistics and Epidemiology Book PDF

Author : Sylvia Wassertheil-Smoller
Publisher : Springer Science & Business Media
Page : 199 pages
File Size : 53,7 Mb
Release : 2013-06-29
Category : Science
ISBN : 9781475724240

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Biostatistics and Epidemiology by Sylvia Wassertheil-Smoller Pdf

Biostatistics and Epidemiology: A Primer for Health Professionals focuses on the underlying framework of the field and offers practical guidelines for research and interpretation. In addition to major sections devoted to statistics and epidemiology, the book includes a comprehensive exploration of the scientific method, probability, and clinical trials. New to the second edition are: -a reorganization of the material -new information on survival analysis such as the Cox proportional hazards model -topics in nonparametric statistics -expanded discussion of probability and its applications in epidemiology -an entirely new chapter on areas relevant to behavioral research and change scores, reliability, validity, and responsiveness -new appendices providing specific and clear instructions on how to carry out several additional statistical calculations and tests Biostatistics and Epidemiology describes principles and methods applicable to medicine, public health, allied health, psychology and education and will be useful not only to physicians doing clinical as well as basic science research, but also to students at undergraduate, graduate and medical school levels.

Biostatistics for Human Genetic Epidemiology

Bertram K. C. Chan
Biostatistics for Human Genetic Epidemiology Book PDF

Author : Bertram K. C. Chan
Publisher : Springer
Page : 355 pages
File Size : 50,7 Mb
Release : 2018-10-24
Category : Medical
ISBN : 9783319937915

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Biostatistics for Human Genetic Epidemiology by Bertram K. C. Chan Pdf

The book illustrates how biostatistics may numerically summarize human genetic epidemiology using R, and may be used successfully to solve problems in quantitative Genetic Epidemiology Biostatistics for Human Genetic Epidemiology provides statistical methodologies and R recipes for human genetic epidemiologic problems. It begins by introducing all the necessary probabilistic and statistical foundations, before moving on to topics related human genetic epidemiology, with R codes illustrations for various examples. This clear and concise book covers human genetic epidemiology, using R in data analysis, including multivariate data analysis. It examines probabilistic and statistical theories for modeling human genetic epidemiology – leading the readers through an effective epidemiologic model, from simple to advanced levels. Classical mathematical, probabilistic, and statistical theory are thoroughly discussed and presented. This book also presents R as a calculator and using R in data analysis. Additionally, it covers Advanced Human Genetic Data Concepts, the Study of Human Genetic Variation, Manhattan Plots, as well as the Procedures for Multiple Comparison. Numerous Worked Examples are provided for illustrations of concepts and real-life applications. Biostatistics for Human Genetic Epidemiology is an ideal reference for professionals and students in Medicine (particularly in Preventive Medicine and Public Health Medical Practices), as well as in Genetics, Epidemiology, and Biostatistics.

Statistical Methods for Global Health and Epidemiology

Xinguang Chen,(Din) Ding-Geng Chen
Statistical Methods for Global Health and Epidemiology Book PDF

Author : Xinguang Chen,(Din) Ding-Geng Chen
Publisher : Springer Nature
Page : 420 pages
File Size : 46,6 Mb
Release : 2020-04-13
Category : Medical
ISBN : 9783030352608

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Statistical Methods for Global Health and Epidemiology by Xinguang Chen,(Din) Ding-Geng Chen Pdf

This book examines statistical methods and models used in the fields of global health and epidemiology. It includes methods such as innovative probability sampling, data harmonization and encryption, and advanced descriptive, analytical and monitory methods. Program codes using R are included as well as real data examples. Contemporary global health and epidemiology involves a myriad of medical and health challenges, including inequality of treatment, the HIV/AIDS epidemic and its subsequent control, the flu, cancer, tobacco control, drug use, and environmental pollution. In addition to its vast scales and telescopic perspective; addressing global health concerns often involves examining resource-limited populations with large geographic, socioeconomic diversities. Therefore, advancing global health requires new epidemiological design, new data, and new methods for sampling, data processing, and statistical analysis. This book provides global health researchers with methods that will enable access to and utilization of existing data. Featuring contributions from both epidemiological and biostatistical scholars, this book is a practical resource for researchers, practitioners, and students in solving global health problems in research, education, training, and consultation.

SAS for Epidemiologists

Charles DiMaggio
SAS for Epidemiologists Book PDF

Author : Charles DiMaggio
Publisher : Springer Science & Business Media
Page : 258 pages
File Size : 45,7 Mb
Release : 2012-10-25
Category : Mathematics
ISBN : 9781461448549

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SAS for Epidemiologists by Charles DiMaggio Pdf

This comprehensive text covers the use of SAS for epidemiology and public health research. Developed with students in mind and from their feedback, the text addresses this material in a straightforward manner with a multitude of examples. It is directly applicable to students and researchers in the fields of public health, biostatistics and epidemiology. Through a “hands on” approach to the use of SAS for a broad number of epidemiologic analyses, readers learn techniques for data entry and cleaning, categorical analysis, ANOVA, and linear regression and much more. Exercises utilizing real-world data sets are featured throughout the book. SAS screen shots demonstrate the steps for successful programming. SAS (Statistical Analysis System) is an integrated system of software products provided by the SAS institute, which is headquartered in California. It provides programmers and statisticians the ability to engage in many sophisticated statistical analyses and data retrieval and mining exercises. SAS is widely used in the fields of epidemiology and public health research, predominately due to its ability to reliably analyze very large administrative data sets, as well as more commonly encountered clinical trial and observational research data.

Statistical Approaches for Epidemiology

Amal K. Mitra
Statistical Approaches for Epidemiology Book PDF

Author : Amal K. Mitra
Publisher : Springer Nature
Page : 445 pages
File Size : 47,9 Mb
Release : 2023-12-12
Category : Medical
ISBN : 9783031417849

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Statistical Approaches for Epidemiology by Amal K. Mitra Pdf

This textbook provides the basic concepts of epidemiology while preparing readers with the skills of applying statistical tools in real-life situations. Students, in general, struggle with statistical theories and their practical applications. This book makes statistical concepts easy to understand by focusing on real-life examples, case studies, and exercises. It also provides step-by-step guides for data analysis and interpretation using standard statistical software such as SPSS, SAS, R, Python, and GIS as appropriate, illustrating the concepts. Through the book's 23 chapters, readers primarily learn how to apply statistical methods in epidemiological studies and problem-solving. Among the topics covered: Clinical Trials Epidemic Investigation and Control Geospatial Applications in Epidemiology Survival Analysis and Applications Using SAS and SPSS Systematic Review and Meta-Analysis: Evidence-based Decision-Making in Public Health Missing Data Imputation: A Practical Guide Artificial Intelligence and Machine Learning Multivariate Linear Regression and Logistics Regression Analysis Using SAS Each chapter is written by eminent scientists and experts worldwide, including contributors from institutions in the United States, Canada, Bangladesh, India, Hong Kong, Malaysia, and the Middle East. Statistical Approaches for Epidemiology: From Concept to Application is an all-in-one book that serves as an essential text for graduate students, faculty, instructors, and researchers in public health and other branches of health sciences, as well as a useful resource for health researchers in industry, public health and health department professionals, health practitioners, and health research organizations and non-governmental organizations. The book also will be helpful for graduate students and faculty in related disciplines such as data science, nursing, social work, environmental health, occupational health, computer science, statistics, and biology.

Data Science and Predictive Analytics

Ivo D. Dinov
Data Science and Predictive Analytics Book PDF

Author : Ivo D. Dinov
Publisher : Springer Nature
Page : 940 pages
File Size : 47,6 Mb
Release : 2023-02-16
Category : Computers
ISBN : 9783031174834

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Data Science and Predictive Analytics by Ivo D. Dinov Pdf

This textbook integrates important mathematical foundations, efficient computational algorithms, applied statistical inference techniques, and cutting-edge machine learning approaches to address a wide range of crucial biomedical informatics, health analytics applications, and decision science challenges. Each concept in the book includes a rigorous symbolic formulation coupled with computational algorithms and complete end-to-end pipeline protocols implemented as functional R electronic markdown notebooks. These workflows support active learning and demonstrate comprehensive data manipulations, interactive visualizations, and sophisticated analytics. The content includes open problems, state-of-the-art scientific knowledge, ethical integration of heterogeneous scientific tools, and procedures for systematic validation and dissemination of reproducible research findings. Complementary to the enormous challenges related to handling, interrogating, and understanding massive amounts of complex structured and unstructured data, there are unique opportunities that come with access to a wealth of feature-rich, high-dimensional, and time-varying information. The topics covered in Data Science and Predictive Analytics address specific knowledge gaps, resolve educational barriers, and mitigate workforce information-readiness and data science deficiencies. Specifically, it provides a transdisciplinary curriculum integrating core mathematical principles, modern computational methods, advanced data science techniques, model-based machine learning, model-free artificial intelligence, and innovative biomedical applications. The book’s fourteen chapters start with an introduction and progressively build foundational skills from visualization to linear modeling, dimensionality reduction, supervised classification, black-box machine learning techniques, qualitative learning methods, unsupervised clustering, model performance assessment, feature selection strategies, longitudinal data analytics, optimization, neural networks, and deep learning. The second edition of the book includes additional learning-based strategies utilizing generative adversarial networks, transfer learning, and synthetic data generation, as well as eight complementary electronic appendices. This textbook is suitable for formal didactic instructor-guided course education, as well as for individual or team-supported self-learning. The material is presented at the upper-division and graduate-level college courses and covers applied and interdisciplinary mathematics, contemporary learning-based data science techniques, computational algorithm development, optimization theory, statistical computing, and biomedical sciences. The analytical techniques and predictive scientific methods described in the book may be useful to a wide range of readers, formal and informal learners, college instructors, researchers, and engineers throughout the academy, industry, government, regulatory, funding, and policy agencies. The supporting book website provides many examples, datasets, functional scripts, complete electronic notebooks, extensive appendices, and additional materials.

A Biostatistics Toolbox for Data Analysis

Steve Selvin
A Biostatistics Toolbox for Data Analysis Book PDF

Author : Steve Selvin
Publisher : Cambridge University Press
Page : 579 pages
File Size : 52,9 Mb
Release : 2015-10-20
Category : Mathematics
ISBN : 9781107113084

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A Biostatistics Toolbox for Data Analysis by Steve Selvin Pdf

A Biostatistics Toolbox for Data Analysis delivers a sophisticated package of statistical methods for advanced master's (MPH) and PhD students in public health and epidemiology who are involved in the analysis of data. The book's statistical tools are organized into sections with similar objectives, each of which is accompanied by complete instructions, explanations, detailed examples, and advice on relevant issues and potential pitfalls.

Applications of Regression Models in Epidemiology

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

Author : Erick Suárez,Cynthia M. Pérez,Roberto Rivera,Melissa N. MartÃnez
Publisher : John Wiley & Sons
Page : 272 pages
File Size : 52,5 Mb
Release : 2017-01-19
Category : Mathematics
ISBN : 9781119212492

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

Analysis of Epidemiologic Data Using R

Robert Hirsch
Analysis of Epidemiologic Data Using R Book PDF

Author : Robert Hirsch
Publisher : Springer Nature
Page : 115 pages
File Size : 51,6 Mb
Release : 2023-09-10
Category : Science
ISBN : 9783031419140

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Analysis of Epidemiologic Data Using R by Robert Hirsch Pdf

This book addresses the description and analysis of occurrence data frequently encountered in epidemiological studies. With the occurrence of Covid-19, people have been exposed to the analysis and interpretation of epidemiological data. To be informed consumers of this information, people need to understand the nature and analysis of these data. Effort is made to emphasize concepts rather than mathematics. Subjects range from description of the frequencies of disease to the analysis of associations between the occurrence of disease and exposure. Those analyses begin with simple associations and work up to complex relationships that involve the control of extraneous characteristics. Analyses rely on the statistical software R, which is freeware in wide use by professional epidemiologists and other scientists.

Basic Biostatistics

Gerstman
Basic Biostatistics Book PDF

Author : Gerstman
Publisher : Jones & Bartlett Publishers
Page : 662 pages
File Size : 41,9 Mb
Release : 2014-02-07
Category : Education
ISBN : 9781284025477

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Basic Biostatistics by Gerstman Pdf

Basic Biostatistics is a concise, introductory text that covers biostatistical principles and focuses on the common types of data encountered in public health and biomedical fields. The text puts equal emphasis on exploratory and confirmatory statistical methods. Sampling, exploratory data analysis, estimation, hypothesis testing, and power and precision are covered through detailed, illustrative examples. The book is organized into three parts: Part I addresses basic concepts and techniques; Part II covers analytic techniques for quantitative response variables; and Part III covers techniques for categorical responses. The Second Edition offers many new exercises as well as an all new chapter on "Poisson Random Variables and the Analysis of Rates." With language, examples, and exercises that are accessible to students with modest mathematical backgrounds, this is the perfect introductory biostatistics text for undergraduates and graduates in various fields of public health. Features: Illustrative, relevant examples and exercises incorporated throughout the book. Answers to odd-numbered exercises provided in the back of the book. (Instructors may requests answers to even-numbered exercises from the publisher. Chapters are intentionally brief and limited in scope to allow for flexibility in the order of coverage. Equal attention is given to manual calculations as well as the use of statistical software such as StaTable, SPSS, and WinPepi. Comprehensive Companion Website with Student and Instructor's Resources.