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Essentials of Bio-Statistics: An overview with the help of Software

Author: EDITOR IJSMI

Publisher: createspace

Published: 2018-08-19

Total Pages: 67

ISBN-13: 1725921227

This book intends to provide an overview of biostatistics concepts and methodology through the use of statistical software. It helps clinicians, health care and biomedical professionals who need to have basic knowledge of biostatistics as they come across clinical data related to patient, drug and dosage requirement, treatment modalities in day to day life and they are required to take clinical and health care decisions based on the data. This book covers basic concepts involved in the field of Biostatistics such as descriptive statistics, inferential statistics, correlation and regression along with the advanced concepts such as factor analysis, cluster analysis, discriminant analysis and survival analysis. Each topic is explained with the help of R statistical package (open source package). One important note that the book will not discuss about the formulas and equations involved in the statistical concepts and the author assumes that the readers have basic understanding of excel as the sample dataset is used in the book are mostly excel based datasets and also have some clinical background.

Essential of Biostatistics: An Overview with the Help of Software- 2nd in Series: Pocket Guide

Author: Editor Ijsmi

Publisher: Essential of Biostatistics: An

Published: 2018-10-26

Total Pages: 70

ISBN-13: 9781729293577

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This book is the second in series of Essentials of Biostatistics wherein the first book provided the overview of Biostatistics concepts and methods with the help of R software. The current book will focus on the use of SAS software as most of the users in the biomedical field uses SAS because of its recognition especially the United States government agencies like Food and Drug Administration (FDA).The important note is that the book will not repeat the biostatistics concepts and methodology explained in the first book and it will concentrate mainly on the SAS software part and it is strongly advisable to use both books get a complete idea of biostatistical concepts and methodology especially for the beginners. EditorInternational Journal of Statistics and Medical Informatics (IJSMI)

Essentials of Bio-Statistics: an Overview with the Help of Software

Author: Editor IJSMI

Publisher:

Published: 2018-09-14

Total Pages: 68

ISBN-13: 9781723712074

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This book intends to provide an overview of biostatistics concepts and methodology through the use of statistical software. It helps clinicians, health care and biomedical professionals who need to have basic knowledge of biostatistics as they come across clinical data related to patient, drug and dosage requirement, treatment modalities in day to day life and they are required to take clinical and health care decisions based on the data. This book covers basic concepts involved in the field of Biostatistics such as descriptive statistics, inferential statistics, correlation and regression along with the advanced concepts such as factor analysis, cluster analysis, discriminant analysis and survival analysis. Each topic is explained with the help of R statistical package (open source package). One important note that the book will not discuss about the formulas and equations involved in the statistical concepts. Author assumes that the readers have basic understanding of excel, as the sample datasets used in the book are mostly excel based datasets and also have some clinical background.

Introduction to Biostatistics with JMP

Author: Steve Figard

Publisher: SAS Institute

Published: 2019-10-04

Total Pages: 229

ISBN-13: 1635267188

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Explore biostatistics using JMP® in this refreshing introduction Presented in an easy-to-understand way, Introduction to Biostatistics with JMP® introduces undergraduate students in the biological sciences to the most commonly used (and misused) statistical methods that they will need to analyze their experimental data using JMP. It covers many of the basic topics in statistics using biological examples for exercises so that the student biologists can see the relevance to future work in the problems addressed. The book starts by teaching students how to become confident in executing the right analysis by thinking like a statistician then moves into the application of specific tests. Using the powerful capabilities of JMP, the book addresses problems requiring analysis by chi-square tests, t tests, ANOVA analysis, various regression models, DOE, and survival analysis. Topics of particular interest to the biological or health science field include odds ratios, relative risk, and survival analysis. The author uses an engaging, conversational tone to explain concepts and keep readers interested in learning more. The book aims to create bioscientists who can competently incorporate statistics into their investigative toolkits to solve biological research questions as they arise.

Essential Biostatistics

Author: Harvey Motulsky

Publisher: Oxford University Press

Published: 2016

Total Pages: 209

ISBN-13: 0199365067

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With its engaging and conversational tone, Essential Biostatistics: A Nonmathematical Approach provides a clear introduction to statistics for students in a wide range of fields, and a concise statistics refresher for scientists and professionals who need to interpret statistical results. It explains the ideas behind statistics in nonmathematical terms, offers perspectives on how to interpret published statistical results, and points out common conceptual traps to avoid. It can be used as a stand-alone text or as a supplement to a traditional statistics textbook.

Essentials of Biostatistics Workbook

Author: Lisa Marie Sullivan

Publisher: Jones & Bartlett Learning

Published: 2008

Total Pages: 148

ISBN-13: 9780763754778

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Out of Print: Essentials of Biostatistics in Public Health

Author: Lisa M. Sullivan

Publisher: Jones & Bartlett Publishers

Published: 2011-03-24

Total Pages: 329

ISBN-13: 0763795321

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With a presentation style that is clear and straightforward, the text uses examples that are real, relevant, and manageable in size so that students can focus on applications rather than become overwhelmed by computations. This text is just one offering in Jones and Bartlett's unique Essential Public Health Series. Important Notice: The digital edition of this book is missing some of the images or content found in the physical edition.

Biostatistics explored through R software: An overview

Author: Vinaitheerthan Renganathan

Publisher: Vinaitheerthan Renganathan

Published: 2021-09-10

Total Pages: 107

ISBN-13: 935493658X

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The term Statistics and Data is now familiar to most of us even though we are related to different fields such as Clinical, Biology, Business & Management, Engineering and Physical Sciences. Statistical methods are being applied in different fields including the emerging fields such as Machine Learning, Natural Language Processing and Artificial Intelligence because of the fact that each field deals with data in one form or the other. Statistical methods help decision makers to arrive at evidence based decisions by collecting, analyzing and interpreting the data. Biostatistics is a branch of statistics which is applied in the biomedical domain and it includes clinical and biological fields. Biostatistical methods include descriptive, inferential and Statistical modeling tools. Descriptive statistical tools help us to draw information and summary about the data in terms of measures of central tendency, measures of dispersion, measure of skewness and underlying probability distributions. Inferential Statistical tools help us to estimate, test the hypothesis and draw inferences about the parameters of the data. Statistical modeling tools help us to study and estimate the relationship between the variables. The book starts with the introduction of concepts in biostatistics and moves on to explore descriptive and inferential statistical tools using R Open Source Software. It then explores statistical modeling tools such as regression analysis and survival analysis. The book also covers the role of Biostatistics in the clinical trials process. Clinical trials are scientific experiments which are conducted in different phases. It involves testing of drugs and clinical procedures for treating different diseases and conditions among a sample of participants before rolling out in the market. Biostatistics tools help clinical trial researchers in deciding about the study design, sample size and analytical methods. The data set used in the book can be downloaded from Author’s Website.

Essentials of Biostatistics for Public Health

Author: Lisa M. Sullivan

Publisher: Jones & Bartlett Learning

Published: 2022-06-08

Total Pages: 407

ISBN-13: 1284231976

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Essentials of Biostatistics in Public Health, Fourth Edition provides a fundamental and engaging background for students learning to apply and appropriately interpret biostatistics applications in the field of public health. Many examples are drawn directly from the author’s remarkable clinical experiences with the renowned Framingham Heart Study, making this text practical, interesting, and accessible for those with little mathematical background. The examples are real, relevant, and manageable in size so that students can easily focus on applications rather than become overwhelmed by computations. The Fourth Edition has been thoroughly updated, and now offers a new chapter on career opportunities and new case studies in each chapter focused on COVID-19. This edition will also include free access to JMP Student Edition Software, which is a streamlined version of SAS’ statistical discovery software and is well-suited to for introductory or intermediate statistics courses.

Introduction to Statistical Methods

Author: Editor IJSMI

Publisher: International Journal of Statistics and Medical Informatics

Published: 2020-03-23

Total Pages: 118

ISBN-13:

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Statistical Methods are widely used in Medical, Biological, Clinical, Business and Engineering field. The data which form the basis for the statistical methods helps us to take scientific and informed decisions. Statistical methods deal with the collection, compilation, analysis and making inference from the data. Statistical knowledge is also essential for the emerging field such as Machine Learning, Deep Learning and Artificial intelligence. This book deals with the statistical methods such as Probability, Sampling, Correlation, Regression and Hypothesis Testing and non-parametric tests and advanced statistical models. Examples discussed in the book are from different areas such as clinical, financial and marketing. The book uses open source R statistical software to carry out different statistical analysis with sample datasets. This book is third in series of Statistics books by the Author. Some of the contents are adopted from the author’s previous statistical books: Essentials of Biostatistics an overview with the help of software (ISBN-97817237120740) Editor International Journal of Statistics and Medical Informatics www.ijsmi.com/book.php www.amazon.com/dp/B0868TWQ6M- e-Book