Book picks similar to
Statistical Methods in Medical Research by Peter Armitage
science
statistics
mathematics
research
Ghost Boy: My Miraculous Escape from a Life Locked Inside My Own Body
Martin Pistorius - 2011
But he was alive and trapped inside his own body for ten years.In January 1988 Martin Pistorius, aged twelve, fell inexplicably sick. First he lost his voice and stopped eating. Then he slept constantly and shunned human contact. Doctors were mystified. Within eighteen months he was mute and wheelchair-bound. Martin's parents were told an unknown degenerative disease left him with the mind of a baby and less than two years to live.Martin was moved to care centers for severely disabled children. The stress and heartache shook his parents’ marriage and their family to the core. Their boy was gone. Or so they thought.Ghost Boy is the heart-wrenching story of one boy’s return to life through the power of love and faith. In these pages, readers see a parent’s resilience, the consequences of misdiagnosis, abuse at the hands of cruel caretakers, and the unthinkable duration of Martin’s mental alertness betrayed by his lifeless body.We also see a life reclaimed—a business created, a new love kindled—all from a wheelchair. Martin's emergence from his own darkness invites us to celebrate our own lives and fight for a better life for others.
An Introduction to Statistical Learning: With Applications in R
Gareth James - 2013
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, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.
Brain Storm
Elaine Viets - 2016
When a horrific car crash kills a Forest teenager, Angela is among the first on the scene. Her investigation is hardly underway, however, when she suffers a series of crippling strokes. Misdiagnosed by the resident neurologist, Dr. Gravois, and mended by gauche yet brilliant neurosurgeon Dr. Jeb Travis Tritt, Angela faces a harrowing recovery.It’s a drug-addled, hallucinating Angela who learns that Dr. Gravois has been murdered…and the chief suspect is the surgeon who saved her life. Angela doesn’t believe it, but can she trust her instincts? Her brain trauma brings doubts that she’ll ever recover her investigative skills. But she’s determined to save Dr. Tritt from a death-row sentence—even if her progress is thwarted at every turn by a powerful and insular community poised to protect its own.
Medical Terminology: A Living Language
Bonnie F. Fremgen - 2004
For each body system, broad coverage of anatomy, physiology, pathology, diagnostic procedures, treatment procedures, and pharmacology is provided. The author emphasizes both terms built from Latin and Greek word parts, and modern English terms, helping students develop a full working word part vocabulary they can use to interpret any new term. This edition contains many new terms, and has been reorganized for more efficient learning. To eliminate confusion, Word Building tables have been removed from each chapter and the terms have been distributed throughout the pathology, diagnostic procedure, and treatment procedure tables, where they are more immediately relevant to students. Note: This ISBN is just the standalone book, if the customer wants the book/access card order the ISBN below; 133962032 / 9780133962031 Medical Terminology: A Living Language PLUS MyMedicalTerminologyLab with Pearson etext -- Access Card Package Package consists of: 0132843471 / 9780132843478 Medical Terminology: A Living Language 0133936236 / 9780133936230 MyMedicalTerminologyLab with Pearson etext - Access Card - Medical Terminology A Living Language
Complexity: A Very Short Introduction
John H. Holland - 2014
From the movement of flocks of birds to the Internet, environmental sustainability, and market regulation, the study and understanding of complex non-linear systems has become highly influential over the last 30 years.In this Very Short Introduction, one of the leading figures in the field, John Holland, introduces the key elements and conceptual framework of complexity. From complex physical systems such as fluid flow and the difficulties of predicting weather, to complex adaptive systems such as the highly diverse and interdependent ecosystems of rainforests, he combines simple, well-known examples -- Adam Smith's pin factory, Darwin's comet orchid, and Simon's 'watchmaker' -- with an account of the approaches, involving agents and urn models, taken by complexity theory.ABOUT THE SERIES: The Very Short Introductions series from Oxford University Press contains hundreds of titles in almost every subject area. These pocket-sized books are the perfect way to get ahead in a new subject quickly. Our expert authors combine facts, analysis, perspective, new ideas, and enthusiasm to make interesting and challenging topics highly readable.
Why Do Men Have Nipples?: Hundreds of Questions You'd Only Ask a Doctor After Your Third Martini
Mark Leyner - 1995
You’ve had a martini or three, and you mingle through the crowd, wondering how long you need to stay before going out for pizza. Suddenly you’re introduced to someone new, Dr. Nice Tomeetya. You forget the pizza. Now is the perfect time to bring up all those strange questions you’d like to ask during an office visit with your own doctor but haven’t had the guts (or more likely the time) to do so. You’re filled with liquid courage . . . now is your chance! If you’ve ever wanted to ask a doctor . . .•How do people in wheelchairs have sex?•Why do I get a killer headache when I suck down my milkshake too fast?•Can I lose my contact lens inside my head forever?•Why does asparagus make my pee smell?•Why do old people grow hair on their ears?•Is the old adage “beer before liquor, never sicker, liquor before beer . . .” really true? . . . then Why Do Men Have Nipples? is the book for you.Compiled by Billy Goldberg, an emergency medicine physician, and Mark Leyner, bestselling author and well-known satirist, Why Do Men Have Nipples? offers real factual and really funny answers to some of the big questions about the oddities of our bodies.
Now You See It: Simple Visualization Techniques for Quantitative Analysis
Stephen Few - 2009
Employing a methodology that is primarily learning by example and “thinking with our eyes,” this manual features graphs and practical analytical techniques that can be applied to a broad range of data analysis tools—including the most commonly used Microsoft Excel. This approach is particularly valuable to those who need to make sense of quantitative business data by discerning meaningful patterns, trends, relationships, and exceptions that reveal business performance, potential problems and opportunities, and hints about the future. It provides practical skills that are useful to managers at all levels and to those interested in keeping a keen eye on their business.
Machine Learning: A Probabilistic Perspective
Kevin P. Murphy - 2012
Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.
Statistical Inference
George Casella - 2001
Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and are natural extensions and consequences of previous concepts. This book can be used for readers who have a solid mathematics background. It can also be used in a way that stresses the more practical uses of statistical theory, being more concerned with understanding basic statistical concepts and deriving reasonable statistical procedures for a variety of situations, and less concerned with formal optimality investigations.
Tests, Measurements and Research Methods in Behavioural Sciences
A.K. Singh
discuss about research
Alan Turing: Unlocking the Enigma
David Boyle - 2014
Turing’s openness about his homosexuality at a time when it was an imprisonable offense ultimately led to his untimely lo death at the age of only forty-one. In Alan Turing: Unlocking the Enigma, David Boyle reveals the mysteries behind the man and his remarkable career. Aged just 22, Turing was elected a fellow at King's College, Cambridge on the strength of a dissertation in which he proved the central limit theorem. By the age of 33, he had been awarded the OBE by King George VI for his wartime services: Turing was instrumental in cracking the Nazi Enigma machines at the top secret code breaking establishment at Bletchley Park during the Second World War.But his achievements were to be tragically overshadowed by the paranoia of the post-War years. Hounded for his supposedly subversive views and for his sexuality, Turing was prosecuted in 1952, and forced to accept the humiliation of hormone treatment to avoid a prison sentence. Just two years later, at the age of 41 he was dead. The verdict: cyanide poisoning.Was Turing’s death accidental as his mother always claimed? Or did persistent persecution drive him to take him own life?Alan Turing: Unlocking the Enigma seeks to find the man behind the science, illuminating the life of a person who is still a shadowy presence behind his brilliant achievements.
Genetic Genealogy: The Basics and Beyond
Emily D. Aulicino - 2013
The book guides genealogists in understanding various tests and determining what DNA segments came from which ancestor. The book explains how DNA testing helps when written records stop and discusses how testing proves or disprove oral family history. Learn which tests help adoptees; understand why you resemble your relatives and how testing can connect you with cousins you never knew. Discover how to encourage potential cousins to test and learn guidelines for becoming a project administrator, genetic genealogy speaker or facilitator for your genealogical society’s DNA interest group. A Genetic Genealogy Handbook: The Basics and Beyond helps experienced and fledgling researchers become genetic genealogists able to use DNA testing to resolve genealogical roadblocks."
Hallucinations
Oliver Sacks - 2012
Much more commonly, they are linked to sensory deprivation, intoxication, illness, or injury. People with migraines may see shimmering arcs of light or tiny, Lilliputian figures of animals and people. People with failing eyesight, paradoxically, may become immersed in a hallucinatory visual world. Hallucinations can be brought on by a simple fever or even the act of waking or falling asleep, when people have visions ranging from luminous blobs of color to beautifully detailed faces or terrifying ogres. Those who are bereaved may receive comforting “visits” from the departed. In some conditions, hallucinations can lead to religious epiphanies or even the feeling of leaving one’s own body. Humans have always sought such life-changing visions, and for thousands of years have used hallucinogenic compounds to achieve them. As a young doctor in California in the 1960s, Oliver Sacks had both a personal and a professional interest in psychedelics. These, along with his early migraine experiences, launched a lifelong investigation into the varieties of hallucinatory experience. Here, with his usual elegance, curiosity, and compassion, Dr. Sacks weaves together stories of his patients and of his own mind-altering experiences to illuminate what hallucinations tell us about the organization and structure of our brains, how they have influenced every culture’s folklore and art, and why the potential for hallucination is present in us all, a vital part of the human condition.
Data Analysis with Open Source Tools: A Hands-On Guide for Programmers and Data Scientists
Philipp K. Janert - 2010
With this insightful book, intermediate to experienced programmers interested in data analysis will learn techniques for working with data in a business environment. You'll learn how to look at data to discover what it contains, how to capture those ideas in conceptual models, and then feed your understanding back into the organization through business plans, metrics dashboards, and other applications.Along the way, you'll experiment with concepts through hands-on workshops at the end of each chapter. Above all, you'll learn how to think about the results you want to achieve -- rather than rely on tools to think for you.Use graphics to describe data with one, two, or dozens of variablesDevelop conceptual models using back-of-the-envelope calculations, as well asscaling and probability argumentsMine data with computationally intensive methods such as simulation and clusteringMake your conclusions understandable through reports, dashboards, and other metrics programsUnderstand financial calculations, including the time-value of moneyUse dimensionality reduction techniques or predictive analytics to conquer challenging data analysis situationsBecome familiar with different open source programming environments for data analysisFinally, a concise reference for understanding how to conquer piles of data.--Austin King, Senior Web Developer, MozillaAn indispensable text for aspiring data scientists.--Michael E. Driscoll, CEO/Founder, Dataspora
Flashback
Gary Braver - 2005
During a swim, Jack is attacked by a school of rare jellyfish whose toxic stings put him in a coma for six mths.When he awakens, he finds that the jellyfish toxin has left him with an extraordinary memory that impresses his doctors. This discovery is complicated by flashbacks: some, pleasant childhood vignettes, others, confusing flashes of violence that leave him quaking in horror.Jack wonders if he's losing his mind, but that fear is dispelled by Rene Ballard, a pharmacologist working on the world's first cure for Alzheimer's Disease. She wants to test Jack because the basis of the drug is the very jellyfish toxin that sent Jack into a coma. And, while several test patients have miraculously regained functionality, others are also experiencing dangerous flashback seizures.Ballard's revelation sets Jack on a quest to discover what is happening to him. He and Rene uncover a sinister pattern of lies and deceit that has left behind a trail of bodies, and several elderly patients stuck in a past that they cannot emerge from--or don't want to.