Best Biostatistics Books

Here you will get Best Biostatistics Books For you.This is an up-to-date list of recommended books.

1. Biology Made Easy: An Illustrated Study Guide For Students To Easily Learn Cellular & Molecular Biology

Author: by NEDU
NEDU LLC (April 22, 2021)
330 pages

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Special Launch PriceThis book includes over 300 illustrations to help you visualize what is necessary to understand biology at its core. Each chapter goes into depth on key topics to further your understanding of Cellular and Molecular Biology. Take a look at the table of contents:Chapter 1: What is Biology?

Chapter 2: The Study of EvolutionChapter 3: What is Cell Biology? Chapter 4: Genetics and Our Genetic BlueprintsChapter 5: Getting Down with AtomsChapter 6: How Chemical Bonds Combine AtomsChapter 7: Water, Solutions, and MixturesChapter 8: Which Elements Are in Cells? Chapter 9: Macromolecules Are the Big Molecules in Living ThingsChapter 10: Thermodynamics in Living ThingsChapter 11: ATP as FuelChapter 12: Metabolism and Enzymes in the CellChapter 13: The Difference Between Prokaryotic and Eukaryotic CellsChapter 14: The Structure of a Eukaryotic CellChapter 15: The Plasma Membrane: The Gatekeeper of the CellChapter 16: Diffusion and OsmosisChapter 17: Passive and Active TransportChapter 18: Bulk Transport of Molecules Across a MembraneChapter 19: Cell SignalingChapter 20: Oxidation and ReductionChapter 21: Steps of Cellular RespirationChapter 22: Introduction to PhotosynthesisChapter 23: Light-Dependent ReactionsChapter 24: Calvin CycleChapter 25: CytoskeletonChapter 26: How Cells MoveChapter 27: Cellular DigestionChapter 28: What is Genetic Material?

2. The Book of Why: The New Science of Cause and Effect

Author: by Judea Pearl
Basic Books

‎ English
432 pages

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A Turing Award-winning computer scientist and statistician shows how understanding causality has revolutionized science and will revolutionize artificial intelligence “Correlation is not causation.” This mantra, chanted by scientists for more than a century, has led to a virtual prohibition on causal talk.

Today, that taboo is dead. The causal revolution, instigated by Judea Pearl and his colleagues, has cut through a century of confusion and established causality – the study of cause and effect – on a firm scientific basis. His work explains how we can know easy things, like whether it was rain or a sprinkler that made a sidewalk wet; and how to answer hard questions, like whether a drug cured an illness.

Pearl’s work enables us to know not just whether one thing causes another: it lets us explore the world that is and the worlds that could have been. It shows us the essence of human thought and key to artificial intelligence.

Anyone who wants to understand either needs The Book of Why.

3. Tweak (Growing Up on Methamphetamines)

Author: by Nic Sheff
352 pages

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The story that inspired the major motion picture Beautiful Boy featuring Steve Carell and Timothe Chalamet. This New York Times bestselling memoir of a young man’s addiction to methamphetamine tells a raw, harrowing, and ultimately hopeful tale of the road from relapse to recovery.

Nic Sheff was drunk for the first time at age eleven. In the years that followed, he would regularly smoke pot, do cocaine and Ecstasy, and develop addictions to crystal meth and heroin. Even so, he felt like he would always be able to quit and put his life together whenever he needed to.

It took a violent relapse one summer in California to convince him otherwise. In a voice that is raw and honest, Nic spares no detail in telling us the compelling, heartbreaking, and true story of his relapse and the road to recovery.

As we watch Nic plunge into the mental and physical depths of drug addiction, he paints a picture for us of a person at odds with his past, with his family, with his substances, and with himself. It’s a harrowing portraitbut not one without hope.

4. Corona, False Alarm? Facts and Figures

Author: by Karina Reiss Ph.D.
Chelsea Green Publishing
160 pages

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Does the race for vaccine development make sense? What are the chances of success? Will the vaccine be safe? Will people accept it?? In June 2020, Corona, False Alarm? Exploded into the German market, selling 200,000 copies and 75,000 e-books in the first six weeks.

No other topic dominates our attention as much as coronavirus and COVID-19, the infectious disease it triggers. There’s been a global deluge of contradictory opinions, fake news, and politically controlled information. Differing views on the dangers posed by the pandemic have led to deep division and confusion, within governments, society, and even among friends and family.

In Corona, False Alarm?, award-winning researchers Dr. Sucharit Bhakdi and Dr. Karina Reiss give clarity to these confusing and stressful times. They offer analysis of whether radical protective measuresincluding lockdown, social distancing, and mandatory maskinghave been justified, and what the ramifications have been for society, the economy, and public health.

5. Fundamentals of Biostatistics

Author: by Bernard Rosner
Cengage Learning
927 pages

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

6. Health Informatics: An Interprofessional Approach

Author: by Ramona Nelson PhD RN-BC ANEF FAAN
678 pages

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Awarded second place in the 2017 AJN Book of the Year Awards in the Information Technology category. See how information technology intersects with health care! Health Informatics: An Interprofessional Approach, 2nd Edition prepares you for success in today’s technology-filled healthcare practice.

Concise coverage includes information systems and applications such as electronic health records, clinical decision support, telehealth, ePatients, and social media tools, as well as system implementation. New to this edition are topics including data science and analytics, mHealth, principles of project management, and contract negotiations.

Written by expert informatics educators Ramona Nelson and Nancy Staggers, this edition enhances the book that won a 2013 American Journal of Nursing Book of the Year award! Experts from a wide range of health disciplines cover the latest on the interprofessional aspects of informatics a key Quality and Safety Education for Nurses (QSEN) initiative and a growing specialty area in nursing.

7. Intuitive Biostatistics: A Nonmathematical Guide to Statistical Thinking

Author: by Harvey Motulsky
Oxford University Press
608 pages

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Intuitive Biostatistics takes a non-technical, non-quantitative approach to statistics and emphasizes interpretation of statistical results rather than the computational strategies for generating statistical data. This makes the text especially useful for those in health-science fields whohave not taken a biostatistics course before.

The text is also an excellent resource for professionals in labs, acting as a conceptually oriented and accessible biostatistics guide. With an engaging and conversational tone, Intuitive Biostatistics provides a clear introduction to statistics forundergraduate and graduate students and also serves as a statistics refresher for working scientists.

8. Clinical Biostatistics and Epidemiology Made Ridiculously Simple

Author: by Ann Weaver

104 pages

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The most important points in clinical biostatistics, presented intuitively with clinical examples. Because intuitive concepts are the easiest to learn and retain, this book minimizes math and emphasizes concepts. From terminology to research design to various statistical testing, this text provides a lasting clear approach to interpreting medical research reports.

Valuable for biostatistics courses and excellent for USMLE Board Review.

9. Applied Predictive Modeling

Author: by Max Kuhn
613 pages

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Winner of the 2014 Technometrics Ziegel Prize for Outstanding BookApplied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems.

Addressing practical concerns extends beyond model fitting to topics such as handling class imbalance, selecting predictors, and pinpointing causes of poor model performanceall of which are problems that occur frequently in practice. The text illustrates all parts of the modeling process through many hands-on, real-life examples.

And every chapter contains extensive R code for each step of the process. The data sets and corresponding code are available in the book’s companion AppliedPredictiveModeling R package, which is freely available on the CRAN archive. This multi-purpose text can be used as an introduction to predictive models and the overall modeling process, a practitioner’s reference handbook, or as a text for advanced undergraduate or graduate level predictive modeling courses.

10. Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again

Author: by Eric Topol MD
Basic Books
400 pages

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One of America’s top doctors reveals how AI will empower physicians and revolutionize patient care Medicine has become inhuman, to disastrous effect. The doctor-patient relationship-the heart of medicine-is broken: doctors are too distracted and overwhelmed to truly connect with their patients, and medical errors and misdiagnoses abound.

In Deep Medicine, leading physician Eric Topol reveals how artificial intelligence can help. AI has the potential to transform everything doctors do, from notetaking and medical scans to diagnosis and treatment, greatly cutting down the cost of medicine and reducing human mortality.

By freeing physicians from the tasks that interfere with human connection, AI will create space for the real healing that takes place between a doctor who can listen and a patient who needs to be heard. Innovative, provocative, and hopeful, Deep Medicine shows us how the awesome power of AI can make medicine better, for all the humans involved.

Illustrations note: 46 Halftones, black & white 11 Tables, black & white

11. Basic & Clinical Biostatistics: Fifth Edition

Author: by Susan White
368 pages

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Learn to evaluate and apply statistics in medicine, medical research, and all health-related fieldsA Doody’s Core Title for 2021! Basic & Clinical Biostatistics provides medical students, researchers, and practitioners with the knowledge needed to develop sound judgment about data applicable to clinical care.

This fifth edition has been updated throughout to deliver a comprehensive, timely introduction to biostatistics and epidemiology as applied to medicine, clinical practice, and research. Particular emphasis is on study design and interpretation of results of research. The book features Presenting Problems drawn from studies published in the medical literature, end-of-chapter exercises, and a reorganization of content to reflect the way investigators ask research questions.

To facilitate learning, each chapter contain a set of key concepts underscoring the important ideas discussed. Features:Key components include a chapter on survey research and expanded discussion of logistic regression, the Cox model, and other multivariate statistical methodsExtensive examples illustrate statistical methods and design issuesUpdated examples using R, an open source statistical software packageExpanded coverage of data visualization, including content on visual perception and discussion of tools such as Tableau, Qlik and MS Power BISampling and power calculations imbedded with discussion of the statistical model Updated content, examples, and data sets throughout

12. The Model Thinker: What You Need to Know to Make Data Work for You

Author: by Scott E.
Basic Books
448 pages

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Work with data like a pro using this guide that breaks down how to organize, apply, and most importantly, understand what you are analyzing in order to become a true data ninja. From the stock market to genomics laboratories, census figures to marketing email blasts, we are awash with data.

But as anyone who has ever opened up a spreadsheet packed with seemingly infinite lines of data knows, numbers aren’t enough: we need to know how to make those numbers talk. In The Model Thinker, social scientist Scott E. Page shows us the mathematical, statistical, and computational modelsfrom linear regression to random walks and far beyondthat can turn anyone into a genius.

At the core of the book is Page’s “many-model paradigm,” which shows the reader how to apply multiple models to organize the data, leading to wiser choices, more accurate predictions, and more robust designs. The Model Thinker provides a toolkit for business people, students, scientists, pollsters, and bloggers to make them better, clearer thinkers, able to leverage data and information to their advantage.

13. Biostatistics For Dummies

Author: by John Pezzullo
For Dummies
408 pages

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Score your highest in biostatistics Biostatistics is a required course for students of medicine, epidemiology, forestry, agriculture, bioinformatics, and public health. In years past this course has been mainly a graduate-level requirement; however its application is growing and course offerings at the undergraduate level are exploding.

Biostatistics For Dummies is an excellent resource for those taking a course, as well as for those in need of a handy reference to this complex material. Biostatisticiansanalysts of biological dataare charged with finding answers to some of the world’s most pressing health questions: how safe or effective are drugs hitting the market today?What causes autism?

What are the risk factors for cardiovascular disease? Are those risk factors different for men and women or different ethnic groups? Biostatistics For Dummies examines these and other questions associated with the study of biostatistics. Provides plain-English explanations of techniques and clinical examples to help Serves as an excellent course supplement for those struggling with the complexities of the biostatistics Tracks to a typical, introductory biostatistics course Biostatistics For Dummies is an excellent resource for anyone looking to succeed in this difficult course.

14. Practice of Statistics in the Life Sciences

Author: by Brigitte Baldi
W.H. Freeman
768 pages

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See statisics through the eyes of a biologist as Practice of Statistics in the Life Sciences utilizes examples and exercises curated from across the life sciences in order to connect you to the material.

15. Principles of Biostatistics

Author: by Marcello Pagano
Chapman and Hall/CRC
584 pages

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This edition is a reprint of the second edition published in 2000 by Brooks/Cole and then Cengage Learning. Principles of Biostatistics is aimed at students in the biological and health sciences who wish to learn modern research methods. It is based on a required course offered at the Harvard School of Public Health.

In addition to these graduate students, many health professionals from the Harvard medical area attend as well. The book is divided into three parts. The first five chapters deal with collections of numbers and ways in which to summarize, explore, and explain them.

The next two chapters focus on probability and introduce the tools needed for the subsequent investigation of uncertainty. It is only in the eighth chapter and thereafter that the authors distinguish between populations and samples and begin to investigate the inherent variability introduced by sampling, thus progressing to inference.

Postponing the slightly more difficult concepts until a solid foundation has been established makes it easier for the reader to comprehend them. All supplements, including a manual for students with solutions for odd-numbered exercises, a manual for instructors with solutions to all exercises, and selected data sets, are available at .

16. Fundamentals of Clinical Trials

Author: by Lawrence M. Friedman
571 pages

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This is the fifth edition of a very successful textbook on clinical trials methodology, written by recognized leaders who have long and extensive experience in all areas of clinical trials. The three authors of the first four editions have been joined by two others who add great expertise.

A chapter on regulatory issues has been included and the chapter on data monitoring has been split into two and expanded. Many contemporary clinical trial examples have been added. There is much new material on adverse events, adherence, issues in analysis, electronic data, data sharing and international trials.

This book is intended for the clinical researcher who is interested in designing a clinical trial and developing a protocol. It is also of value to researchers and practitioners who must critically evaluate the literature of published clinical trials and assess the merits of each trial and the implications for the care and treatment of patients.

The authors use numerous examples of published clinical trials to illustrate the fundamentals. The text is organized sequentially from defining the question to trial closeout. One chapter is devoted to each of the critical areas to aid the clinical trial researcher.