Statistics Explained
Statistics Explained

Author: Steve McKillup

Publisher: Cambridge University Press

Published: 2011-11-03

Total Pages: 430

ISBN-13: 1139502948

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An understanding of statistics and experimental design is essential for life science studies, but many students lack a mathematical background and some even dread taking an introductory statistics course. Using a refreshingly clear and encouraging reader-friendly approach, this book helps students understand how to choose, carry out, interpret and report the results of complex statistical analyses, critically evaluate the design of experiments and proceed to more advanced material. Taking a straightforward conceptual approach, it is specifically designed to foster understanding, demystify difficult concepts and encourage the unsure. Even complex topics are explained clearly, using a pictorial approach with a minimum of formulae and terminology. Examples of tests included throughout are kept simple by using small data sets. In addition, end-of-chapter exercises, new to this edition, allow self-testing. Handy diagnostic tables help students choose the right test for their work and remain a useful refresher tool for postgraduates.

Introduction to the New Statistics
Introduction to the New Statistics

Author: Geoff Cumming

Publisher: Routledge

Published: 2016-10-04

Total Pages: 595

ISBN-13: 1317483375

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This is the first introductory statistics text to use an estimation approach from the start to help readers understand effect sizes, confidence intervals (CIs), and meta-analysis (‘the new statistics’). It is also the first text to explain the new and exciting Open Science practices, which encourage replication and enhance the trustworthiness of research. In addition, the book explains NHST fully so students can understand published research. Numerous real research examples are used throughout. The book uses today’s most effective learning strategies and promotes critical thinking, comprehension, and retention, to deepen users’ understanding of statistics and modern research methods. The free ESCI (Exploratory Software for Confidence Intervals) software makes concepts visually vivid, and provides calculation and graphing facilities. The book can be used with or without ESCI. Other highlights include: - Coverage of both estimation and NHST approaches, and how to easily translate between the two. - Some exercises use ESCI to analyze data and create graphs including CIs, for best understanding of estimation methods. -Videos of the authors describing key concepts and demonstrating use of ESCI provide an engaging learning tool for traditional or flipped classrooms. -In-chapter exercises and quizzes with related commentary allow students to learn by doing, and to monitor their progress. -End-of-chapter exercises and commentary, many using real data, give practice for using the new statistics to analyze data, as well as for applying research judgment in realistic contexts. -Don’t fool yourself tips help students avoid common errors. -Red Flags highlight the meaning of "significance" and what p values actually mean. -Chapter outlines, defined key terms, sidebars of key points, and summarized take-home messages provide a study tool at exam time. -http://www.routledge.com/cw/cumming offers for students: ESCI downloads; data sets; key term flashcards; tips for using SPSS for analyzing data; and videos. For instructors it offers: tips for teaching the new statistics and Open Science; additional homework exercises; assessment items; answer keys for homework and assessment items; and downloadable text images; and PowerPoint lecture slides. Intended for introduction to statistics, data analysis, or quantitative methods courses in psychology, education, and other social and health sciences, researchers interested in understanding the new statistics will also appreciate this book. No familiarity with introductory statistics is assumed.

Introduction to Probability
Introduction to Probability

Author: Dimitri Bertsekas

Publisher: Athena Scientific

Published: 2008-07-01

Total Pages: 544

ISBN-13: 188652923X

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An intuitive, yet precise introduction to probability theory, stochastic processes, statistical inference, and probabilistic models used in science, engineering, economics, and related fields. This is the currently used textbook for an introductory probability course at the Massachusetts Institute of Technology, attended by a large number of undergraduate and graduate students, and for a leading online class on the subject. The book covers the fundamentals of probability theory (probabilistic models, discrete and continuous random variables, multiple random variables, and limit theorems), which are typically part of a first course on the subject. It also contains a number of more advanced topics, including transforms, sums of random variables, a fairly detailed introduction to Bernoulli, Poisson, and Markov processes, Bayesian inference, and an introduction to classical statistics. The book strikes a balance between simplicity in exposition and sophistication in analytical reasoning. Some of the more mathematically rigorous analysis is explained intuitively in the main text, and then developed in detail (at the level of advanced calculus) in the numerous solved theoretical problems.

Introduction to Medical-Surgical Nursing - E-Book
Introduction to Medical-Surgical Nursing - E-Book

Author: Adrianne Dill Linton

Publisher: Elsevier Health Sciences

Published: 2014-04-14

Total Pages: 1446

ISBN-13: 0323293638

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With just the right level of information to equip you to effectively care for adults and older adults, Linton's Introduction to Medical-Surgical Nursing, 5th Edition is the leading LPN/LVN text in its field. Covering both med-surg and psychiatric mental health conditions and disorders, it addresses your role in a variety of care settings, emphasizes culturally competent care and holistic nursing, and thoroughly covers all relevant NCLEX-PN Test Plan content. Abundant real-life case studies clearly show how to apply what you've learned to clinical practice. Features separate chapters on common, high-profile disorders (including hypertension, diabetes, and shock), providing an in-depth understanding for patient care. Offers foundational units on basic concepts related to the health care system, care settings, the nursing process, leadership, nutrition, the older adult, growth and nutrition, legal/ethical considerations, evidence-based nursing care, and many more essential topics, avoiding repetition later in the text Includes a separate, comprehensive unit on the older adult and related disorders — no other LPN/LVN med-surg text has as much coverage of this primary patient group. Includes a separate, comprehensive unit on psychosocial responses to illness, psychiatric disorders, and substance abuse — eliminating the need for a separate psychiatric mental health nursing text. Emphasizes content related to the NCLEX-PN Test Plan, including health promotion, nutrition, legal/ethical issues, HIPAA, and prevention of medication/medical errors. Offers in-depth pharmacology coverage: the Pharmacology Tutorial covers drug classifications, how drugs work, and nursing responsibilities; Pharmacology Capsules boxes provide medication information, precautions for use, interactions, and side/adverse effects; and Pharmacology and Medications tables in body systems chapters include classification, use/action, side/adverse effects, and nursing interventions — all with the goal of reducing medication errors on the job and equipping you to pass the NCLEX exam. Assists with assignment and supervision, helping you assign tasks to nurse assistants, patient care techs, and unlicensed assistive personnel, and making sure you understand the difference between delegation, management, supervision, and assignment of tasks on the health care team. Features Diagnostic Tests and Procedures tables for a quick reference to MRI, CT, Doppler flow, lumbar puncture tests for neurologic disorders, and much more. Highlights timely information with Health Promotion boxes, Cultural Considerations boxes, Nutrition Considerations boxes, and Complementary and Alternative Therapies boxes. Provides bulleted lists of nursing instructions for Patient Teaching Plans, stressing the role and responsibility of the LPN/LVN to reinforce patient education. Provides consistent Nursing Care Plans that reinforce the nursing process and focus on critical thinking, and Put on Your Thinking Cap Critical Thinking boxes encourage you to pause and consider the practical implications of what you have just read.

An Introduction to Statistical Learning
An Introduction to Statistical Learning

Author: Gareth James

Publisher: Springer Nature

Published: 2023-08-01

Total Pages: 617

ISBN-13: 3031387473

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An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.

Introduction to Research - E-Book
Introduction to Research - E-Book

Author: Elizabeth DePoy

Publisher: Elsevier Health Sciences

Published: 2013-12-24

Total Pages: 384

ISBN-13: 0323291074

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Bridge the gap between research and practice with DePoy and Gitlin's Introduction to Research: Understanding and Applying Multiple Strategies, 4th Edition. This completely updated, user-friendly text helps you better understand not only the research process, but also research designs and their applications to the real world of clinical practice. Covering multiple research strategies (including both qualitative and quantitative research), it gives you a balanced approach to various research traditions, addressing emerging key issues in today's health care environment. Offers a balanced approach to various research methods and multiple research strategies, including qualitative, quantitative, naturalistic and experimental-type, and more. Presents complex information in a clear, highly readable, and easy-to-understand manner. Keeps information relevant to today's health care environment with real-world "snapshots" and a final Stories from the Field chapter. Includes detailed discussions of qualitative and quantitative methodologies, a unique and balanced focus that makes this text more comprehensive than others in its field. Covers experimental-type, naturalistic, and mixed method design strategies, improving your ability to compare, contrast, and integrate different methods. Evolve online resources include statistics math tips to accompany Chapter 19, crossword puzzles, useful weblinks, and sample forms. Reflects recent changes in the field, including new material on preparing poster presentations, community and participatory research, translation issues, and advanced scale development, giving you the tools you need to devise successful research studies. Includes expanded evidence-based material and occupational therapy-specific information, discussing the methods used in each study.