Essential Of Biostatistics An Overview With The Help Of Software 2nd In Series Pocket Guide PDF Download

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

Essential of Biostatistics: An Overview with the Help of Software- 2nd in Series: Pocket Guide
Author: Editor Ijsmi
Publisher: Essential of Biostatistics: An
Total Pages: 70
Release: 2018-10-26
Genre: Education
ISBN: 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

Essentials of Bio-Statistics: An overview with the help of Software
Author: EDITOR IJSMI
Publisher: createspace
Total Pages: 67
Release: 2018-08-19
Genre: Medical
ISBN: 1725921227
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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 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.

Guide to Essential Biostatistics: Agchem & Bioscience

Guide to Essential Biostatistics: Agchem & Bioscience
Author: Harald B. Teicher
Publisher: Labcoat Guide to Crop Protecti
Total Pages: 184
Release: 2019-02-26
Genre: Science
ISBN: 9781798120903
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Are you a student, researcher or science leader looking for an overview of the essential principles of Biostatistics? This book is an easily accessible primer for scientists and research workers not trained in mathematical theory, but who have previously followed a course in Biological Statistics. This book provides a readily accessible overview on how to plan, implement and analyse experiments without access to a dedicated staff of statisticians. Guide To Essential Biostatistics contains few calculations (the "how" of Biostatistics) but instead provides a plain-English overview of the "why" - what is it the numbers are telling us, and how can we use this to plan trials, understand our data and make decisions. Designed to fit in a lab coat pocket for easy access, this GUIDE TO ESSENTIAL BIOSTATISTICS compiles some of the most-used biostatistical techniques, approximations and rules-of-thumb used in the design and analysis of biological experiments. The author has a 20+ year R&D background in the Corporate & Academic AgChem & BioScience community, and provides strategic and technical expertise to start-ups and corporations developing chemical and biological crop protection products. Buy this book to obtain an overview of essential aspects of Biostatistics! By purchasing the print edition of this book on AMAZON, you are eligible for a FREE download of the eBook version, providing access to high-resolution, zoomable color images.

Fundamentals of Biostatistics

Fundamentals of Biostatistics
Author: Bernard Rosner
Publisher: Cengage Learning
Total Pages: 0
Release: 2015-07-29
Genre: Mathematics
ISBN: 9781305268920
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Bernard Rosner's FUNDAMENTALS OF BIOSTATISTICS is a practical introduction to the methods, techniques, and computation of statistics with human subjects. It prepares students for their future courses and careers by introducing the statistical methods most often used in medical literature. Rosner minimizes the amount of mathematical formulation (algebra-based) while still giving complete explanations of all the important concepts. As in previous editions, a major strength of this book is that every new concept is developed systematically through completely worked out examples from current medical research problems. Most methods are illustrated with specific instructions as to implementation using software either from SAS, Stata, R, Excel or Minitab. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

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

Essentials of Bio-Statistics: an Overview with the Help of Software
Author: Editor IJSMI
Publisher:
Total Pages: 68
Release: 2018-09-14
Genre:
ISBN: 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.

Biostatistics

Biostatistics
Author: Wayne W. Daniel
Publisher: Wiley
Total Pages: 720
Release: 2018-11-13
Genre: Medical
ISBN: 1119282373
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The ability to analyze and interpret enormous amounts of data has become a prerequisite for success in allied healthcare and the health sciences. Now in its 11th edition, Biostatistics: A Foundation for Analysis in the Health Sciences continues to offer in-depth guidance toward biostatistical concepts, techniques, and practical applications in the modern healthcare setting. Comprehensive in scope yet detailed in coverage, this text helps students understand—and appropriately use—probability distributions, sampling distributions, estimation, hypothesis testing, variance analysis, regression, correlation analysis, and other statistical tools fundamental to the science and practice of medicine. Clearly-defined pedagogical tools help students stay up-to-date on new material, and an emphasis on statistical software allows faster, more accurate calculation while putting the focus on the underlying concepts rather than the math. Students develop highly relevant skills in inferential and differential statistical techniques, equipping them with the ability to organize, summarize, and interpret large bodies of data. Suitable for both graduate and advanced undergraduate coursework, this text retains the rigor required for use as a professional reference.

Essentials of Biostatistics for Public Health

Essentials of Biostatistics for Public Health
Author: Lisa M. Sullivan
Publisher: Jones & Bartlett Learning
Total Pages: 407
Release: 2022-06-08
Genre: Medical
ISBN: 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.

The Essentials of Biostatistics for Physicians, Nurses, and Clinicians

The Essentials of Biostatistics for Physicians, Nurses, and Clinicians
Author: Michael R. Chernick
Publisher: John Wiley & Sons
Total Pages: 226
Release: 2011-08-04
Genre: Medical
ISBN: 1118071948
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A fundamental and straightforward guide to using and understanding statistical concepts in medical research Designed specifically for healthcare practitioners who need to understand basic biostatistics but do not have much time to spare, The Essentials of Biostatistics for Physicians, Nurses and Clinicians presents important statistical methods used in today's biomedical research and provides insight on their appropriate application. Rather than provide detailed mathematics for each of these methods, the book emphasizes what healthcare practitioners need to know to interpret and incorporate the latest biomedical research into their practices. The author draws from his own experience developing and teaching biostatistics courses for physicians and nurses, offering a presentation that is non-technical and accessible. The book begins with a basic introduction to the relationship between biostatistics and medical research, asking the question "why study statistics?," while also exploring the significance of statisitcal methods in medical literature and clinical trials research. Subsequent chapters explore key topics, including: Correlation, regression, and logistic regression Diagnostics Estimating means and proportions Normal distribution and the central limit theorem Sampling from populations Contingency tables Meta-analysis Nonparametric methods Survival analysis Throughout the book, statistical methods that are often utilized in biomedical research are outlined, including repeated measures analysis of variance, hazard ratios, contingency tables, log rank tests, bioequivalence, cross-over designs, selection bias, and group sequential methods. Exercise sets at the end of each chapter allow readers to test their comprehension of the presented concepts and techniques. The Essentials of Biostatistics for Physicians, Nurses, and Clinicians is an excellent reference for doctors, nurses, and other practicing clinicians in the fields of medicine, public health, pharmacy, and the life sciences who need to understand and apply statistical methods in their everyday work. It also serves as a suitable supplement for courses on biostatistics at the upper-undergraduate and graduate levels.

Basic Biostatistics

Basic Biostatistics
Author: Gerstman
Publisher: Jones & Bartlett Publishers
Total Pages: 662
Release: 2014-02-07
Genre: Education
ISBN: 1284025470
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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.

Foundations of Biostatistics

Foundations of Biostatistics
Author: M. Ataharul Islam
Publisher: Springer
Total Pages: 0
Release: 2018-12-16
Genre: Medical
ISBN: 9789811342035
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This book offers a comprehensive guide to essential techniques and methods in biostatistics, addressing the underlying concepts to aid in comprehension. The use of biostatistics techniques has increased manifold in the recent past, due to their suitability for applications in a wide range of problems in various fields. This book helps learners grasp the materials in detail, equipping them to use biostatistics techniques independently and confidently. The book starts with a summary of background materials, followed by methods and techniques. As such, with only minimum guidance from teachers, this book can provide materials for self-learning of biostatistics techniques with a deeper level of understanding. The first two chapters focus on fundamental concepts, sources of data, data types, organization of data, and descriptive statistics, followed by the basic probability concepts, distributions and sampling distributions needed in order to combine descriptive statistics with inferential techniques. Estimation and tests of hypotheses are illustrated in two separate chapters. Important measures of association, linear regression, analysis of variance and logistic regression, and proportional hazards models are then presented systematically, ensuring that the book covers the topics most essential to students and users of biostatistics in connection with a wide range of applications in various fields. The book has been carefully structured, and the content is presented in a sequence covering the essential background in a highly systematic manner, supporting the learning process by presenting theory and applications that complement one another.