Cause And Correlation In Biology

Author : Bill Shipley
Publisher : Cambridge University Press
Page : 330 pages
File Size : 46,9 Mb
Release : 2002-08
Category : Mathematics
ISBN : 0521529212

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Cause and Correlation in Biology by Bill Shipley Pdf

This book goes beyond the truism that 'correlation does not imply causation' and explores the logical and methodological relationships between correlation and causation. It presents a series of statistical methods that can test, and potentially discover, cause-effect relationships between variables in situations in which it is not possible to conduct randomised or experimentally controlled experiments. Many of these methods are quite new and most are generally unknown to biologists. In addition to describing how to conduct these statistical tests, the book also puts the methods into historical context and explains when they can and cannot justifiably be used to test or discover causal claims. Written in a conversational style that minimises technical jargon, the book is aimed at practising biologists and advanced students, and assumes only a very basic knowledge of introductory statistics.

Author : Bill Shipley
Publisher : Cambridge University Press
Page : 315 pages
File Size : 48,7 Mb
Release : 2016-04-18
Category : Mathematics
ISBN : 9781107442597

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Cause and Correlation in Biology by Bill Shipley Pdf

A complete user's guide to structural equations explaining the underlying principals and practical implementation of these methods.

Author : Judea Pearl,Dana Mackenzie
Publisher : Basic Books
Page : 432 pages
File Size : 55,8 Mb
Release : 2018-05-15
Category : Computers
ISBN : 9780465097616

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The Book of Why by Judea Pearl,Dana Mackenzie Pdf

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.

Author : Jonas Peters,Dominik Janzing,Bernhard Scholkopf
Publisher : MIT Press
Page : 289 pages
File Size : 47,7 Mb
Release : 2017-11-29
Category : Computers
ISBN : 9780262037310

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Elements of Causal Inference by Jonas Peters,Dominik Janzing,Bernhard Scholkopf Pdf

A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning. The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contained and concise introduction to causal models and how to learn them from data. After explaining the need for causal models and discussing some of the principles underlying causal inference, the book teaches readers how to use causal models: how to compute intervention distributions, how to infer causal models from observational and interventional data, and how causal ideas could be exploited for classical machine learning problems. All of these topics are discussed first in terms of two variables and then in the more general multivariate case. The bivariate case turns out to be a particularly hard problem for causal learning because there are no conditional independences as used by classical methods for solving multivariate cases. The authors consider analyzing statistical asymmetries between cause and effect to be highly instructive, and they report on their decade of intensive research into this problem. The book is accessible to readers with a background in machine learning or statistics, and can be used in graduate courses or as a reference for researchers. The text includes code snippets that can be copied and pasted, exercises, and an appendix with a summary of the most important technical concepts.

Author : Anonim
Publisher : Unknown
Page : 728 pages
File Size : 44,9 Mb
Release : 2010
Category : Government publications
ISBN : UCSD:31822037817723

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How Tobacco Smoke Causes Disease by Anonim Pdf

This report considers the biological and behavioral mechanisms that may underlie the pathogenicity of tobacco smoke. Many Surgeon General's reports have considered research findings on mechanisms in assessing the biological plausibility of associations observed in epidemiologic studies. Mechanisms of disease are important because they may provide plausibility, which is one of the guideline criteria for assessing evidence on causation. This report specifically reviews the evidence on the potential mechanisms by which smoking causes diseases and considers whether a mechanism is likely to be operative in the production of human disease by tobacco smoke. This evidence is relevant to understanding how smoking causes disease, to identifying those who may be particularly susceptible, and to assessing the potential risks of tobacco products.

Author : Rafael A. Irizarry
Publisher : CRC Press
Page : 794 pages
File Size : 46,8 Mb
Release : 2019-11-20
Category : Mathematics
ISBN : 9781000708035

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Introduction to Data Science by Rafael A. Irizarry Pdf

Introduction to Data Science: Data Analysis and Prediction Algorithms with R introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression, and machine learning. It also helps you develop skills such as R programming, data wrangling, data visualization, predictive algorithm building, file organization with UNIX/Linux shell, version control with Git and GitHub, and reproducible document preparation. This book is a textbook for a first course in data science. No previous knowledge of R is necessary, although some experience with programming may be helpful. The book is divided into six parts: R, data visualization, statistics with R, data wrangling, machine learning, and productivity tools. Each part has several chapters meant to be presented as one lecture. The author uses motivating case studies that realistically mimic a data scientist’s experience. He starts by asking specific questions and answers these through data analysis so concepts are learned as a means to answering the questions. Examples of the case studies included are: US murder rates by state, self-reported student heights, trends in world health and economics, the impact of vaccines on infectious disease rates, the financial crisis of 2007-2008, election forecasting, building a baseball team, image processing of hand-written digits, and movie recommendation systems. The statistical concepts used to answer the case study questions are only briefly introduced, so complementing with a probability and statistics textbook is highly recommended for in-depth understanding of these concepts. If you read and understand the chapters and complete the exercises, you will be prepared to learn the more advanced concepts and skills needed to become an expert.

Author : Kostas Kampourakis
Publisher : Cambridge University Press
Page : 241 pages
File Size : 51,6 Mb
Release : 2021-11-04
Category : Science
ISBN : 9781108835473

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Understanding Genes by Kostas Kampourakis Pdf

An accessible but rigorous introduction to genes for non-experts, explaining what genes are and what they can and cannot do.

Author : Bruce Alberts
Publisher : Unknown
Page : 0 pages
File Size : 46,9 Mb
Release : 2002
Category : Cytology
ISBN : 0815332181

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Molecular Biology of The Cell by Bruce Alberts Pdf

Author : Tshilidzi Marwala
Publisher : World Scientific
Page : 208 pages
File Size : 42,5 Mb
Release : 2015-01-02
Category : Computers
ISBN : 9789814630887

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Causality, Correlation and Artificial Intelligence for Rational Decision Making by Tshilidzi Marwala Pdf

Causality has been a subject of study for a long time. Often causality is confused with correlation. Human intuition has evolved such that it has learned to identify causality through correlation. In this book, four main themes are considered and these are causality, correlation, artificial intelligence and decision making. A correlation machine is defined and built using multi-layer perceptron network, principal component analysis, Gaussian Mixture models, genetic algorithms, expectation maximization technique, simulated annealing and particle swarm optimization. Furthermore, a causal machine is defined and built using multi-layer perceptron, radial basis function, Bayesian statistics and Hybrid Monte Carlo methods. Both these machines are used to build a Granger non-linear causality model. In addition, the Neyman–Rubin, Pearl and Granger causal models are studied and are unified. The automatic relevance determination is also applied to extend Granger causality framework to the non-linear domain. The concept of rational decision making is studied, and the theory of flexibly-bounded rationality is used to extend the theory of bounded rationality within the principle of the indivisibility of rationality. The theory of the marginalization of irrationality for decision making is also introduced to deal with satisficing within irrational conditions. The methods proposed are applied in biomedical engineering, condition monitoring and for modelling interstate conflict. Contents:Introduction to Artificial Intelligence based Decision MakingWhat is a Correlation Machine?What is a Causal Machine?Correlation Machines Using Optimization MethodsNeural Networks for Modeling Granger CausalityRubin, Pearl and Granger Causality Models: A Unified ViewCausal, Correlation and Automatic Relevance Determination Machines for Granger CausalityFlexibly-bounded RationalityMarginalization of Irrationality in Decision MakingConclusions and Further Work Readership: Graduate students, researchers and professionals in the field of artificial intelligence. Key Features:It proposes fresh definition of causality and proposes two new theories i.e. flexibly bounded rationality and marginalization of irrationality theory for decision makingIt also applies these techniques to a diverse areas in engineering, political science and biomedical engineeringKeywords:Causality;Correlation;Artificial Intelligence;Rational Decision Making

Author : National Academies of Sciences, Engineering, and Medicine,Health and Medicine Division,Board on Population Health and Public Health Practice,Committee on Community-Based Solutions to Promote Health Equity in the United States
Publisher : National Academies Press
Page : 583 pages
File Size : 47,9 Mb
Release : 2017-04-27
Category : Medical
ISBN : 9780309452960

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Communities in Action by National Academies of Sciences, Engineering, and Medicine,Health and Medicine Division,Board on Population Health and Public Health Practice,Committee on Community-Based Solutions to Promote Health Equity in the United States Pdf

In the United States, some populations suffer from far greater disparities in health than others. Those disparities are caused not only by fundamental differences in health status across segments of the population, but also because of inequities in factors that impact health status, so-called determinants of health. Only part of an individual's health status depends on his or her behavior and choice; community-wide problems like poverty, unemployment, poor education, inadequate housing, poor public transportation, interpersonal violence, and decaying neighborhoods also contribute to health inequities, as well as the historic and ongoing interplay of structures, policies, and norms that shape lives. When these factors are not optimal in a community, it does not mean they are intractable: such inequities can be mitigated by social policies that can shape health in powerful ways. Communities in Action: Pathways to Health Equity seeks to delineate the causes of and the solutions to health inequities in the United States. This report focuses on what communities can do to promote health equity, what actions are needed by the many and varied stakeholders that are part of communities or support them, as well as the root causes and structural barriers that need to be overcome.

Author : B. Brett Finlay OC, PhD,Jessica M. Finlay PhD
Publisher : Douglas & McIntyre
Page : 128 pages
File Size : 41,8 Mb
Release : 2019-02-02
Category : Science
ISBN : 9781771622219

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The Whole-Body Microbiome by B. Brett Finlay OC, PhD,Jessica M. Finlay PhD Pdf

Science has made huge leaps in prolonging life through disease prevention and treatment, but microbiologist Brett Finlay and gerontologist Jessica Finlay offer a different—and truly revolutionary—approach to the quest for the fountain of youth. Microbes are the oldest and smallest forms of life on earth, and encompass bacteria, viruses, protozoa, fungi and other microscopic organisms. While some bacteria and viruses can make us sick, normally we coexist peacefully with microbes. In fact, they are essential to our everyday health. Microbes help break down food in the digestive tract, support immune function and protect us from the pathogens we come into contact with on a daily basis. Our well-being is intimately tied to the microbes that surround us—on our cellphones, kitchen sponges, houseplants, pets and desks. In this groundbreaking volume, the authors present current and emerging research on microbial interventions for the full gamut of age-related conditions, from sun spots and wrinkles to Alzheimer’s disease, cancer, osteoporosis, menopause, chronic inflammation and more. The good news is that simple changes to nutrition and lifestyle can promote the right kind of microbial exposure, to improve health whether we’re eighteen or eighty. Incorporating interviews with leading microbiologists, scientific researchers and medical professionals, and with a compelling and proactive approach to cutting-edge science, The Whole-Body Microbiome will appeal to anyone looking to grow old as healthfully and gracefully as possible.

Author : National Research Council,Division of Behavioral and Social Sciences and Education,Board on Science Education,Committee on a Conceptual Framework for New K-12 Science Education Standards
Publisher : National Academies Press
Page : 400 pages
File Size : 52,9 Mb
Release : 2012-02-28
Category : Education
ISBN : 9780309214452

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A Framework for K-12 Science Education by National Research Council,Division of Behavioral and Social Sciences and Education,Board on Science Education,Committee on a Conceptual Framework for New K-12 Science Education Standards Pdf

Science, engineering, and technology permeate nearly every facet of modern life and hold the key to solving many of humanity's most pressing current and future challenges. The United States' position in the global economy is declining, in part because U.S. workers lack fundamental knowledge in these fields. To address the critical issues of U.S. competitiveness and to better prepare the workforce, A Framework for K-12 Science Education proposes a new approach to K-12 science education that will capture students' interest and provide them with the necessary foundational knowledge in the field. A Framework for K-12 Science Education outlines a broad set of expectations for students in science and engineering in grades K-12. These expectations will inform the development of new standards for K-12 science education and, subsequently, revisions to curriculum, instruction, assessment, and professional development for educators. This book identifies three dimensions that convey the core ideas and practices around which science and engineering education in these grades should be built. These three dimensions are: crosscutting concepts that unify the study of science through their common application across science and engineering; scientific and engineering practices; and disciplinary core ideas in the physical sciences, life sciences, and earth and space sciences and for engineering, technology, and the applications of science. The overarching goal is for all high school graduates to have sufficient knowledge of science and engineering to engage in public discussions on science-related issues, be careful consumers of scientific and technical information, and enter the careers of their choice. A Framework for K-12 Science Education is the first step in a process that can inform state-level decisions and achieve a research-grounded basis for improving science instruction and learning across the country. The book will guide standards developers, teachers, curriculum designers, assessment developers, state and district science administrators, and educators who teach science in informal environments.

Author : Judea Pearl
Publisher : Createspace Independent Publishing Platform
Page : 0 pages
File Size : 51,9 Mb
Release : 2015
Category : Causation
ISBN : 1507894295

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An Introduction to Causal Inference by Judea Pearl Pdf

This paper summarizes recent advances in causal inference and underscores the paradigmatic shifts that must be undertaken in moving from traditional statistical analysis to causal analysis of multivariate data. Special emphasis is placed on the assumptions that underly all causal inferences, the languages used in formulating those assumptions, the conditional nature of all causal and counterfactual claims, and the methods that have been developed for the assessment of such claims. These advances are illustrated using a general theory of causation based on the Structural Causal Model (SCM) described in Pearl (2000a), which subsumes and unifies other approaches to causation, and provides a coherent mathematical foundation for the analysis of causes and counterfactuals. In particular, the paper surveys the development of mathematical tools for inferring (from a combination of data and assumptions) answers to three types of causal queries: (1) queries about the effects of potential interventions, (also called "causal effects" or "policy evaluation") (2) queries about probabilities of counterfactuals, (including assessment of "regret," "attribution" or "causes of effects") and (3) queries about direct and indirect effects (also known as "mediation"). Finally, the paper defines the formal and conceptual relationships between the structural and potential-outcome frameworks and presents tools for a symbiotic analysis that uses the strong features of both. The tools are demonstrated in the analyses of mediation, causes of effects, and probabilities of causation. -- p. 1.

Author : Joseph Y. Halpern
Publisher : MIT Press
Page : 240 pages
File Size : 41,9 Mb
Release : 2019-02-19
Category : Philosophy
ISBN : 9780262537131

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Actual Causality by Joseph Y. Halpern Pdf

A new approach for defining causality and such related notions as degree of responsibility, degrees of blame, and causal explanation. Causality plays a central role in the way people structure the world; we constantly seek causal explanations for our observations. But what does it even mean that an event C “actually caused” event E? The problem of defining actual causation goes beyond mere philosophical speculation. For example, in many legal arguments, it is precisely what needs to be established in order to determine responsibility. The philosophy literature has been struggling with the problem of defining causality since Hume. In this book, Joseph Halpern explores actual causality, and such related notions as degree of responsibility, degree of blame, and causal explanation. The goal is to arrive at a definition of causality that matches our natural language usage and is helpful, for example, to a jury deciding a legal case, a programmer looking for the line of code that cause some software to fail, or an economist trying to determine whether austerity caused a subsequent depression. Halpern applies and expands an approach to causality that he and Judea Pearl developed, based on structural equations. He carefully formulates a definition of causality, and building on this, defines degree of responsibility, degree of blame, and causal explanation. He concludes by discussing how these ideas can be applied to such practical problems as accountability and program verification. Technical details are generally confined to the final section of each chapter and can be skipped by non-mathematical readers.

Author : National Research Council,Division on Earth and Life Studies,Commission on Life Sciences,Committee on the Biological Effects of Ionizing Radiation (BEIR V)
Publisher : National Academies
Page : 436 pages
File Size : 50,9 Mb
Release : 1990-02-01
Category : Science
ISBN : 9780309039956

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Health Effects of Exposure to Low Levels of Ionizing Radiation by National Research Council,Division on Earth and Life Studies,Commission on Life Sciences,Committee on the Biological Effects of Ionizing Radiation (BEIR V) Pdf

This book reevaluates the health risks of ionizing radiation in light of data that have become available since the 1980 report on this subject was published. The data include new, much more reliable dose estimates for the A-bomb survivors, the results of an additional 14 years of follow-up of the survivors for cancer mortality, recent results of follow-up studies of persons irradiated for medical purposes, and results of relevant experiments with laboratory animals and cultured cells. It analyzes the data in terms of risk estimates for specific organs in relation to dose and time after exposure, and compares radiation effects between Japanese and Western populations.