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The Practice of Statistics in the Life Sciences

The Practice of Statistics in the Life Sciences
Author: Brigitte Baldi
Publisher: Macmillan Higher Education
Total Pages: 756
Release: 2013-12-15
Genre: Mathematics
ISBN: 1464133212

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This remarkably engaging textbook gives biology students an introduction to statistical practice all their own. It covers essential statistical topics with examples and exercises drawn from across the life sciences, including the fields of nursing, public health, and allied health. Based on David Moore’s The Basic Practice of Statistics, PSLS mirrors that #1 bestseller’s signature emphasis on statistical thinking, real data, and what statisticians actually do. The new edition includes new and updated exercises, examples, and samples of real data, as well as an expanded range of media tools for students and instructors.


Practice of Statistics in the Life Sciences

Practice of Statistics in the Life Sciences
Author: Brigitte Baldi
Publisher: WH Freeman
Total Pages: 340
Release: 2018-03-08
Genre: Mathematics
ISBN: 9781319187606

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This remarkably engaging textbook is the perfect learning resource for undergraduate and postgraduate biology students studying statistics and data analysis. Part of the best-selling Moore family of statistics books, it covers essential statistical topics with examples and exercises drawn from across the field of life sciences, including disciplines such as nursing, public health, and allied health. Based on David Moore’s classic The Basic Practice of Statistics, this textbook applies the bestseller’s signature emphasis on statistical thinking to the world of life sciences, helping engage students and underlining how statistics can directly apply to the projects they’re working on. This textbook will be available on SaplingPlus, a highly-intelligent online teaching and learning tool which will be available for statistics in Autumn 2018.


Modern Statistics for the Life Sciences

Modern Statistics for the Life Sciences
Author: Alan Grafen
Publisher: Oxford University Press
Total Pages: 368
Release: 2002-03-21
Genre: Mathematics
ISBN: 0199252319

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Model formulae represent a powerful methodology for describing, discussing, understanding, and performing that large part of statistical tests known as linear statistics. The book aims to put this methodology firmly within the grasp of undergraduates.


Statistics for the Life Sciences

Statistics for the Life Sciences
Author: Myra L. Samuels
Publisher:
Total Pages: 0
Release: 2012
Genre: Agriculture
ISBN: 9780321652805

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Statistics for the Life Sciences, Fourth Edition, is the perfect book for introductory statistics classes, covering the key concepts of statistics as applied to the life sciences, while incorporating the tools and themes of modern data analysis. This text uses an abundance of real data in the exercises and examples to minimize computation, so that students can focus on the statistical concepts and issues, not the mathematics. Basic algebra is assumed as a prerequisite. ¿ This latest edition is also available as an enhanced Pearson eText. This exciting new version features an embedded versio.


Data Analysis for the Life Sciences with R

Data Analysis for the Life Sciences with R
Author: Rafael A. Irizarry
Publisher: CRC Press
Total Pages: 461
Release: 2016-10-04
Genre: Mathematics
ISBN: 1498775861

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This book covers several of the statistical concepts and data analytic skills needed to succeed in data-driven life science research. The authors proceed from relatively basic concepts related to computed p-values to advanced topics related to analyzing highthroughput data. They include the R code that performs this analysis and connect the lines of code to the statistical and mathematical concepts explained.


Loose-Leaf Version for Practice of Statistics in the Life Sciences, Digital Update

Loose-Leaf Version for Practice of Statistics in the Life Sciences, Digital Update
Author: Brigitte Baldi
Publisher: Macmillan Higher Education
Total Pages: 3008
Release: 2022-05-09
Genre: Mathematics
ISBN: 1319416853

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The Practice of Statistics in the Life Sciences helps students understand how to apply essential statistical skills across life sciences including nursing, public health, and allied health.


Analytics in Healthcare and the Life Sciences

Analytics in Healthcare and the Life Sciences
Author: Thomas H. Davenport
Publisher: Pearson Education
Total Pages: 351
Release: 2013-11-04
Genre: Business & Economics
ISBN: 0133408701

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Make healthcare analytics work: leverage its powerful opportunities for improving outcomes, cost, and efficiency.This book gives you thepractical frameworks, strategies, tactics, and case studies you need to go beyond talk to action. The contributing healthcare analytics innovators survey the field’s current state, present start-to-finish guidance for planning and implementation, and help decision-makers prepare for tomorrow’s advances. They present in-depth case studies revealing how leading organizations have organized and executed analytic strategies that work, and fully cover the primary applications of analytics in all three sectors of the healthcare ecosystem: Provider, Payer, and Life Sciences. Co-published with the International Institute for Analytics (IIA), this book features the combined expertise of IIA’s team of leading health analytics practitioners and researchers. Each chapter is written by a member of the IIA faculty, and bridges the latest research findings with proven best practices. This book will be valuable to professionals and decision-makers throughout the healthcare ecosystem, including provider organization clinicians and managers; life sciences researchers and practitioners; and informaticists, actuaries, and managers at payer organizations. It will also be valuable in diverse analytics, operations, and IT courses in business, engineering, and healthcare certificate programs.


Understanding Statistics and Experimental Design

Understanding Statistics and Experimental Design
Author: Michael H. Herzog
Publisher: Springer
Total Pages: 146
Release: 2019-08-13
Genre: Science
ISBN: 3030034992

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This open access textbook provides the background needed to correctly use, interpret and understand statistics and statistical data in diverse settings. Part I makes key concepts in statistics readily clear. Parts I and II give an overview of the most common tests (t-test, ANOVA, correlations) and work out their statistical principles. Part III provides insight into meta-statistics (statistics of statistics) and demonstrates why experiments often do not replicate. Finally, the textbook shows how complex statistics can be avoided by using clever experimental design. Both non-scientists and students in Biology, Biomedicine and Engineering will benefit from the book by learning the statistical basis of scientific claims and by discovering ways to evaluate the quality of scientific reports in academic journals and news outlets.


Practical Statistics for Data Scientists

Practical Statistics for Data Scientists
Author: Peter Bruce
Publisher: "O'Reilly Media, Inc."
Total Pages: 395
Release: 2017-05-10
Genre: Computers
ISBN: 1491952911

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Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that “learn” from data Unsupervised learning methods for extracting meaning from unlabeled data


The Basic Practice of Statistics

The Basic Practice of Statistics
Author: David S. Moore
Publisher: Palgrave Macmillan
Total Pages: 975
Release: 2010
Genre: Mathematics
ISBN: 1429224266

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This is a clear and innovative overview of statistics which emphasises major ideas, essential skills and real-life data. The organisation and design has been improved for the fifth edition, coverage of engaging, real-world topics has been increased and content has been updated to appeal to today's trends and research.