This book is the first comprehensive attempt to solve what Hartry Field has called "the central problem in the metaphysics of causation": the problem of reconciling the need for causal notions in the special sciences with the limited role of causation in physics. If the world evolves fundamentally according to laws of physics, what place can be found for the causal regularities and principles identified by the special sciences? Douglas Kutach answers this question by invoking a novel distinction between fundamental and derivative reality and a complementary conception of reduction. He then constructs a framework that allows all causal regularities from the sciences to be rendered in terms of fundamental relations. By drawing on a methodology that focuses on explaining the results of specially crafted experiments, Kutach avoids the endless task of catering to pre-theoretical judgments about causal scenarios. This volume is a detailed case study that uses fundamental physics to elucidate causation, but technicalities are eschewed so that a wide range of philosophers can profit. The book is packed with innovations: new models of events, probability, counterfactual dependence, influence, and determinism. These lead to surprising implications for topics like Newcomb's paradox, action at a distance, Simpson's paradox, and more. Kutach explores the special connection between causation and time, ultimately providing a never-before-presented explanation for the direction of causation. Along the way, readers will discover that events cause themselves, that low barometer readings do cause thunderstorms after all, and that we humans routinely affect the past more than we affect the future.

Fundamental Causation addresses issues in the metaphysics of deterministic singular causation, the metaphysics of events, property instances, facts, preventions, and omissions, as well as the debate between causal reductionists and causal anti-reductionists. The book also pays special attention to causation and causal structure in physics. Weaver argues that causation is a multigrade obtaining relation that is transitive, irreflexive, and asymmetric. When causation is singular, deterministic and such that it relates purely contingent events, the relation is also universal, intrinsic, and well-founded. He shows that proper causal relata are events understood as states of substances at ontological indices. He then proves that causation cannot be reduced to some non-causal base, and that the best account of that relation should be unashamedly primitivist about the dependence relation that underwrites its very nature. The book demonstrates a distinctive realist and anti-reductionist account of causation by detailing precisely how the account outperforms reductionist and competing anti-reductionist accounts in that it handles all of the difficult cases while overcoming all of the general objections to anti-reductionism upon which other anti-reductionist accounts falter. This book offers an original and interesting view of causation and will appeal to scholars and advanced students in the areas of metaphysics, philosophy of science, and philosophy of physics.

One of the primary motivations for clinical trials and observational studies of humans is to infer cause and effect. Disentangling causation from confounding is of utmost importance. Fundamentals of Causal Inference explains and relates different methods of confounding adjustment in terms of potential outcomes and graphical models, including standardization, difference-in-differences estimation, the front-door method, instrumental variables estimation, and propensity score methods. It also covers effect-measure modification, precision variables, mediation analyses, and time-dependent confounding. Several real data examples, simulation studies, and analyses using R motivate the methods throughout. The book assumes familiarity with basic statistics and probability, regression, and R and is suitable for seniors or graduate students in statistics, biostatistics, and data science as well as PhD students in a wide variety of other disciplines, including epidemiology, pharmacy, the health sciences, education, and the social, economic, and behavioral sciences. Beginning with a brief history and a review of essential elements of probability and statistics, a unique feature of the book is its focus on real and simulated datasets with all binary variables to reduce complex methods down to their fundamentals. Calculus is not required, but a willingness to tackle mathematical notation, difficult concepts, and intricate logical arguments is essential. While many real data examples are included, the book also features the Double What-If Study, based on simulated data with known causal mechanisms, in the belief that the methods are best understood in circumstances where they are known to either succeed or fail. Datasets, R code, and solutions to odd-numbered exercises are available at www.routledge.com.

This book is the first comprehensive attempt to solve what Hartry Field has called "the central problem in the metaphysics of causation": the problem of reconciling the need for causal notions in the special sciences with the limited role of causation in physics. If the world evolves fundamentally according to laws of physics, what place can be found for the causal regularities and principles identified by the special sciences? Douglas Kutach answers this question by invoking a novel distinction between fundamental and derivative reality and a complementary conception of reduction. He then constructs a framework that allows all causal regularities from the sciences to be rendered in terms of fundamental relations. By drawing on a methodology that focuses on explaining the results of specially crafted experiments, Kutach avoids the endless task of catering to pre-theoretical judgments about causal scenarios. This volume is a detailed case study that uses fundamental physics to elucidate causation, but technicalities are eschewed so that a wide range of philosophers can profit. The book is packed with innovations: new models of events, probability, counterfactual dependence, influence, and determinism. These lead to surprising implications for topics like Newcomb's paradox, action at a distance, Simpson's paradox, and more. Kutach explores the special connection between causation and time, ultimately providing a never-before-presented explanation for the direction of causation. Along the way, readers will discover that events cause themselves, that low barometer readings do cause thunderstorms after all, and that we humans routinely affect the past more than we affect the future.

This book explores the role of causal constraints in science, shifting our attention from causal relations between individual events--the focus of most philosophical treatments of causation—to a broad family of concepts and principles generating constraints on possible change. Yemima Ben-Menahem looks at determinism, locality, stability, symmetry principles, conservation laws, and the principle of least action—causal constraints that serve to distinguish events and processes that our best scientific theories mandate or allow from those they rule out. Ben-Menahem's approach reveals that causation is just as relevant to explaining why certain events fail to occur as it is to explaining events that do occur. She investigates the conceptual differences between, and interrelations of, members of the causal family, thereby clarifying problems at the heart of the philosophy of science. Ben-Menahem argues that the distinction between determinism and stability is pertinent to the philosophy of history and the foundations of statistical mechanics, and that the interplay of determinism and locality is crucial for understanding quantum mechanics. Providing historical perspective, she traces the causal constraints of contemporary science to traditional intuitions about causation, and demonstrates how the teleological appearance of some constraints is explained away in current scientific theories such as quantum mechanics. Causation in Science represents a bold challenge to both causal eliminativism and causal reductionism—the notions that causation has no place in science and that higher-level causal claims are reducible to the causal claims of fundamental physics.

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.

When you light a match it is the striking of it which causes the lighting; the presence of oxygen in the room is a background condition to the lighting. But in virtue of what is the striking a cause while the presence of oxygen is a background condition? When a fragile glass breaks it manifests a disposition to break when struck; however, not everything that breaks manifests this disposition. So under what conditions does something, in breaking, manifest fragility? After some therapy a man might stop being irascible and he might lose the disposition to become angry at the slightest provocation. If he does then he will have lost the disposition after an "internal" change. Can someone lose, or gain, a disposition merely as a result of a change in its external circumstances? Facts about the structure of society can, it seems, explain other facts. But how do they do it? Are there different kinds of structural explanations? Many things are said to be causes: a rock, when we say that the rock caused the window to break, and an event, when we say that the striking of the window caused its breakage. Which kind of causation - causation by events, or causation by things - is more basic? In Causation, Explanation, and the Metaphysics of Aspect, Bradford Skow defends answers to these questions. His answers rely on a pair of connected distinctions: first is the distinction between acting, or doing something, and not acting; second is the distinction between situations in which an event happens, and situations in which instead something is in some state. The first distinction is used to draw the second: an event happens if and only if something does something.

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.

This book argues, partly through detailed case studies, for the importance of causal reasoning in physics.

The Handbook of the Sociology of Health, Illness & Healing advances the understanding of medical sociology by identifying the most important contemporary challenges to the field and suggesting directions for future inquiry. The editors provide a blueprint for guiding research and teaching agendas for the first quarter of the 21st century. In a series of essays, this volume offers a systematic view of the critical questions that face our understanding of the role of social forces in health, illness and healing. It also provides an overall theoretical framework and asks medical sociologists to consider the implications of taking on new directions and approaches. Such issues may include the importance of multiple levels of influences, the utility of dynamic, life course approaches, the role of culture, the impact of social networks, the importance of fundamental causes approaches, and the influences of state structures and policy making.