Fundamentals of Biostatistics

Author: Bernard Rosner

Publisher: Cengage Learning

ISBN: 0538733497

Category: Science

Page: 888

View: 4158

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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. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Fundamentals of Biostatistics

Author: Bernard Rosner

Publisher: Cengage Learning

ISBN: 1133008178

Category: Science

Page: 888

View: 7322

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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. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Fundamentals of Biostatistics

Author: Bernard Rosner

Publisher: Wadsworth Publishing Company

ISBN: 9780534209414

Category: Science

Page: 260

View: 8941

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FUNDAMENTALS OF BIOSTATISTICS (WITH CD-ROM) leads you through the methods, techniques, and computations necessary for success in the medical field. Every new concept is developed systematically through completely worked out examples from current medical research problems.

Fundamentals of Biostatistics

Author: Bernard Rosner

Publisher: Cengage Learning

ISBN: 1305465512

Category: Mathematics

Page: 888

View: 6729

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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.

Fundamentals of Biostatistics

Author: P. Hanmanth Rao,K. Janardhan

Publisher: N.A

ISBN: 9789380578712

Category:

Page: 281

View: 8481

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Biological Inquiry needs knowledge of statistical techniques, mathematical competence and support of computer programmes. This text book has been written in a simple and easy to understand language and presents a broad collection of data analysis techniqu

Essentials of Biostatistics in Public Health

Author: Sullivan

Publisher: Jones & Bartlett Learning

ISBN: 1284108198

Category: Medical

Page: 376

View: 5656

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Study designs -- Quantifying the extent of disease -- Summarizing data collected in the sample -- The role of probability -- Confidence interval estimates -- Hypothesis testing procedures -- Power and sample size determination -- Multivariable methods -- Nonparametric tests -- Survival analysis -- Data visualization

The Fundamentals of Modern Statistical Genetics

Author: Nan M. Laird,Christoph Lange

Publisher: Springer Science & Business Media

ISBN: 9781441973382

Category: Medical

Page: 226

View: 1363

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This book covers the statistical models and methods that are used to understand human genetics, following the historical and recent developments of human genetics. Starting with Mendel’s first experiments to genome-wide association studies, the book describes how genetic information can be incorporated into statistical models to discover disease genes. All commonly used approaches in statistical genetics (e.g. aggregation analysis, segregation, linkage analysis, etc), are used, but the focus of the book is modern approaches to association analysis. Numerous examples illustrate key points throughout the text, both of Mendelian and complex genetic disorders. The intended audience is statisticians, biostatisticians, epidemiologists and quantitatively- oriented geneticists and health scientists wanting to learn about statistical methods for genetic analysis, whether to better analyze genetic data, or to pursue research in methodology. A background in intermediate level statistical methods is required. The authors include few mathematical derivations, and the exercises provide problems for students with a broad range of skill levels. No background in genetics is assumed.

Foundations of Biostatistics

Author: M. Ataharul Islam,Abdullah Al-Shiha

Publisher: Springer

ISBN: 9811086273

Category: Medical

Page: 463

View: 377

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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.

Modern Control Systems, Global Edition

Author: Richard C. Dorf,Robert H. Bishop

Publisher: N.A

ISBN: 9781292152974

Category:

Page: 1032

View: 8881

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For courses in Control Theory Developing Problem-Solving Skills Through Integrated Design and Analysis The purpose of Dorf's Modern Control Systems, Thirteenth Edition is to present the structure of feedback control theory and to provide a sequence of exciting discoveries. The book demonstrates various real-world, global engineering problems while touching on evolving design strategies like green technology. Some of the themes at-hand include climate change, clean water, sustainability, waste management, emissions reduction, and minimizing energy. Throughout the text, students apply theory to the design and analysis of control systems. The Thirteenth Edition continues to explore the role of and need for automated and precise control systems in green engineering. Key examples of green engineering, such as wind turbine control and the modeling of a photovoltaic generator to achieve maximum power delivery, are discussed in detail. The text is organized around the concept of control systems theory in the context of frequency and time domains. Written to be equally useful for all engineering disciplines, it covers topics such as classical control, employing root locus design, frequency and response design using Bode and Nyquist plots.

Biostatistics

The Bare Essentials

Author: Charles D. Bluestone,Geoffrey R. Norman,David L. Streiner,Jeffrey P. Simons,Gerald B. Healy

Publisher: PMPH-USA

ISBN: 1607951789

Category: Medical

Page: 422

View: 8799

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Preceded by: Pediatric otolaryngology / [edited by] Charles D. Bluestone ... [et al.]. 4th ed. c2003.

Fundamentals of biostatistics

Author: Bernard A. Rosner

Publisher: Duxbury Resource Center

ISBN: 9780534370688

Category: Business & Economics

Page: 792

View: 5166

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FUNDAMENTALS OF BIOSTATISTICS (WITH CD-ROM) leads you through the methods, techniques, and computations necessary for success in the medical field. Every new concept is developed systematically through completely worked out examples from current medical research problems.

Fundamentals of Statistics

Author: H. Mulholland,C. R. Jones

Publisher: Butterworth-Heinemann

ISBN: 1483106047

Category: Mathematics

Page: 301

View: 564

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Fundamentals of Statistics covers topics on the introduction, fundamentals, and science of statistics. The book discusses the collection, organization and representation of numerical data; elementary probability; the binomial Poisson distributions; and the measures of central tendency. The text describes measures of dispersion for measuring the spread of a distribution; continuous distributions for measuring on a continuous scale; the properties and use of normal distribution; and tests involving the normal or student's ‘t’ distributions. The use of control charts for sample means; the ranges and fraction defective; the chi-squared distribution; the F distribution; and the bivariate distributions are also considered. The book deals with the idea of mathematical expectation and its relationship with mean, variance, and covariance, as well as weighted averages, death rates, and time series. Students studying for advanced level education or higher national certificates in Mechanical or Electrical Engineering, Mathematics, Chemistry, Biology, or Pharmacy, as well as university students taking such courses will find the book invaluable.

Fundamentals of Biostatistics for Public Health Students

Author: S. Mantravadi, MS HCM, MPH, CPH, CHES

Publisher: Author

ISBN: N.A

Category: Education

Page: 355

View: 5837

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An all-inclusive look at Biostatistics in the field of Public Health, with enriching examples! This is a must have study guide for Biostatistics, from a student's perspective. This book includes pertinent and practical applications of statistical analysis with easy to grasp tables and graphs that visually captures the attention of the reader. This reader friendly book comes to your rescue, and wards off the unpleasant task of fishing in the unknown terrain of lost books, scratch pages, and sticky notes.

Understanding Biostatistics

Author: Anders Källén

Publisher: John Wiley & Sons

ISBN: 1119992680

Category: Medical

Page: 392

View: 5653

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Understanding Biostatistics looks at the fundamentals of biostatistics, using elementary statistics to explore the nature of statistical tests. This book is intended to complement first-year statistics and biostatistics textbooks. The main focus here is on ideas, rather than on methodological details. Basic concepts are illustrated with representations from history, followed by technical discussions on what different statistical methods really mean. Graphics are used extensively throughout the book in order to introduce mathematical formulae in an accessible way. Key features: Discusses confidence intervals and p-values in terms of confidence functions. Explains basic statistical methodology represented in terms of graphics rather than mathematical formulae, whilst highlighting the mathematical basis of biostatistics. Looks at problems of estimating parameters in statistical models and looks at the similarities between different models. Provides an extensive discussion on the position of statistics within the medical scientific process. Discusses distribution functions, including the Guassian distribution and its importance in biostatistics. This book will be useful for biostatisticians with little mathematical background as well as those who want to understand the connections in biostatistics and mathematical issues.