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A daily glass of wine prolongs life—yet alcohol can cause life-threatening cancer. Some say raising the minimum wage will decrease inequality while others say it increases unemployment. Scientists once confidently claimed that hormone replacement therapy reduced the risk of heart disease but now they equally confidently claim it raises that risk. What should we make of this endless barrage of conflicting claims? Observation and Experiment is an introduction to causal inference by one of the field’s leading scholars. An award-winning professor at Wharton, Paul Rosenbaum explains key concepts and methods through lively examples that make abstract principles accessible. He draws his examples from clinical medicine, economics, public health, epidemiology, clinical psychology, and psychiatry to explain how randomized control trials are conceived and designed, how they differ from observational studies, and what techniques are available to mitigate their bias. “Carefully and precisely written...reflecting superb statistical understanding, all communicated with the skill of a master teacher.” —Stephen M. Stigler, author of The Seven Pillars of Statistical Wisdom “An excellent introduction...Well-written and thoughtful...from one of causal inference’s noted experts.” —Journal of the American Statistical Association “Rosenbaum is a gifted expositor...an outstanding introduction to the topic for anyone who is interested in understanding the basic ideas and approaches to causal inference.” —Psychometrika “A very valuable contribution...Highly recommended.” —International Statistical Review
These original contributions by philosophers and historians of science discuss a range of issues pertaining to the testing of hypotheses in modern physics by observation and experiment. Chapters by Lawrence Sklar, Dudley Shapere, Richard Boyd, R. C. Jeffrey, Peter Achinstein, and Ronald Laymon explore general philosophical themes with applications to modern physics and astrophysics. The themes include the nature of the hypothetico-deductive method, the concept of observation and the validity of the theoretical-observation distinction, the probabilistic basis of confirmation, and the testing of idealizations and approximations. The remaining four chapters focus on the history of particular twentieth-century experiments, the instruments and techniques utilized, and the hypotheses they were designed to test. Peter Galison reviews the development of the bubble chamber; Roger Stuewer recounts a sharp dispute between physicists in Cambridge and Vienna over the interpretation of artificial disintegration experiments; John Rigden provides a history of the magnetic resonance method; and Geoffrey Joseph suggests a statistical interpretation of quantum mechanics that can be used to interpret the Stern-Gerlach and double-slit experiments. This book inaugurates the series, Studies from the Johns Hopkins Center for the History and Philosophy of Science, directed by Peter Achinstein and Owen Hannaway. A Bradford Book.
. . . the topic of 'meaning' is the one topic discussed in philosophy in which there is literally nothing but 'theory' - literally nothing that can be labelled or even ridiculed as the 'common sense view'. Putnam, 'The Meaning of Meaning' This book explores some truths behind the truism that experimentation is a hallmark of scientific activity. Scientists' descriptions of nature result from two sorts of encounter: they interact with each other and with nature. Philosophy of science has, by and large, failed to give an account of either sort of interaction. Philosophers typically imagine that scientists observe, theorize and experiment in order to produce general knowledge of natural laws, knowledge which can be applied to generate new theories and technologies. This view bifurcates the scientist's world into an empirical world of pre-articulate experience and know how and another world of talk, thought and argument. Most received philosophies of science focus so exclusively on the literary world of representations that they cannot begin to address the philosophical problems arising from the interaction of these worlds: empirical access as a source of knowledge, meaning and reference, and of course, realism. This has placed the epistemological burden entirely on the predictive role of experiment because, it is argued, testing predictions is all that could show that scientists' theorizing is constrained by nature. Here a purely literary approach contributes to its own demise. The epistemological significance of experiment turns out to be a theoretical matter: cruciality depends on argument, not experiment.
Cover -- Contents -- Preface -- Reading Options -- List of Examples -- Part I. Randomized Experiments -- 1. A Randomized Trial -- 2. Structure -- 3. Causal Inference in Randomized Experiments -- 4. Irrationality and Polio -- Part II. Observational Studies -- 5. Between Observational Studies and Experiments -- 6. Natural Experiments -- 7. Elaborate Theories -- 8. Quasi-experimental Devices -- 9. Sensitivity to Bias -- 10. Design Sensitivity -- 11. Matching Techniques -- 12. Biases from General Dispositions -- 13. Instruments -- 14. Conclusion -- Appendix: Bibliographic Remarks -- Notes -- Glossary: Notation and Technical Terms -- Suggestions for Further Reading -- Acknowledgments -- Index
Includes bibliographical referrences and index.
This collection focuses on different expeditions and their role in the process of knowledge acquisition from the eighteenth century onwards. It investigates various forms of scientific practice conducted during, after and before expeditions, and it places this discussion into the scientific context of experiments. In treating expeditions as experiments in a heuristic sense, we also propose that the expedition is a variation on the laboratory in which different practices can be conducted and where the transformation of uncertain into certain knowledge is tested. The experimental positioning of the expedition brings together an ensemble of techniques, strategies, material agents and social actors, and illuminates the steps leading from observation to facts and documentation. The chapters show the variety of scientific interests that motivated expeditions with their focus on natural history, geology, ichthyology, botany, zoology, helminthology, speleology, physical anthropology, oceanography, meteorology and magnetism.
An observational study is an empirical investigation of the effects of treatments, policies, or exposures. It differes from an experiment in that the investigator cannot control the assignments of treatments to subjects. Scientists across a wide range of disciplines undertake such studies, and the aim of this book is to provide a sound statistical account of the principles and methods for the design and analysis of observational studies. Readers are assumed to have a working knowledge of basic probability and statistics, but otherwise the account is reasonably self-contained. Throughout there are extended discussions of actual observational studies to illustrate the ideas discussed. These are drawn from topics as diverse as smoking and lung cancer, lead in children, nuclear weapons testing, and placement programs for students. As a result, many researchers involved in observational studes will find this an invaluable companion to their work.
This volume is a contribution to the ongoing debate on the distinction between a ‘context of justification’ and a ‘context of discovery’. It is meant for researchers and advanced students in philosophy of science, and for natural and social scientists interested in foundational topics. Spanning a wide range of disciplines, it combines the viewpoint of philosophers and scientists and casts a new interdisciplinary perspective on the problem of observation and experimentation.
The need to understand and address large-scale environmental problems that are difficult to study in controlled environments—issues ranging from climate change to overfishing to invasive species—is driving the field of ecology in new and important directions. Observation and Ecology documents that transformation, exploring how scientists and researchers are expanding their methodological toolbox to incorporate an array of new and reexamined observational approaches—from traditional ecological knowledge to animal-borne sensors to genomic and remote-sensing technologies—to track, study, and understand current environmental problems and their implications. The authors paint a clear picture of what observational approaches to ecology are and where they fit in the context of ecological science. They consider the full range of observational abilities we have available to us and explore the challenges and practical difficulties of using a primarily observational approach to achieve scientific understanding. They also show how observations can be a bridge from ecological science to education, environmental policy, and resource management. Observations in ecology can play a key role in understanding our changing planet and the consequences of human activities on ecological processes. This book will serve as an important resource for future scientists and conservation leaders who are seeking a more holistic and applicable approach to ecological science.