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Causation in Population Health Informatics and Data Science

Marketing text: This book covers the overlap between informatics, computer science, philosophy of causation, and causal inference;

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Hume on Causation

, is insoluble. Hume on Causation is the first major work dedicated to Hume's views on causation in over fifteen years, and it argues that Hume does;

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Hume on Causation

, is insoluble. Hume on Causation is the first major work dedicated to Hume's views on causation in over fifteen years, and it argues that Hume does;

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Causation, Evidence, and Inference

In this book, Reiss argues in favor of a tight fit between evidence, concept and purpose in our causal investigations in the sciences;

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Forensic Epidemiology

Sana Loue explores the concepts of legal and epidemiological causation, the use of epidemiological data based on populations to;

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Replication and Evidence Factors in Observational Studies

Association does not imply causation, yet some causal conclusions are firmly established based on associations found in observational;

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Replication and Evidence Factors in Observational Studies

Association does not imply causation, yet some causal conclusions are firmly established based on associations found in observational;

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Causal Inference: The Mixtape

An accessible, contemporary introduction to the methods for determining cause and effect in the social sciences Causation versus;

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Big Data in Omics and Imaging: Integrated Analysis and Causal Inference

Develop novel statistics for genome-wide causation studies and epigenome-wide causation studies. Bridge the gap between the traditional;

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Big Data in Omics and Imaging: Integrated Analysis and Causal Inference

analysis Develop novel statistics for genome-wide causation studies and epigenome-wide causation studies. Bridge;

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AMA Guides to Disease and Injury Causation

The AMA Guides (R) to the Evaluation of Disease and Injury Causation, second edition, helps form, strengthen and support assessments;

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Inference to the Best Explanation

How do we go about weighing evidence, testing hypotheses, and making inferences? According to the model of Inference to the Best;

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Inference to the Best Explanation

How do we go about weighing evidence, testing hypotheses, and making inferences? According to the model of Inference to the Best;

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Philosophical Foundations of Evidence Law

Philosophy has a strong presence in evidence law and the nature of evidence is a highly debated topic in both general and social;

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Measuring Statistical Evidence Using Relative Belief

roles of subjectivity, objectivity, infinity, and utility in statistical analyses. It next discusses the meaning of probability and the various;

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Measuring Statistical Evidence Using Relative Belief

of subjectivity, objectivity, infinity, and utility in statistical analyses. It next discusses the meaning of probability and the various positions taken;

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Applications of Fuzzy Sets and the Theory of Evidence to Accounting

An analysis of fuzzy sets and the theory of evidence to accounting. It is divided into parts, covering: methodology; inference; prediction;

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Evidence, Inference and Enquiry

Evidence - its nature and interpretation - is the key to many topical debates and concerns such as global warming, evolution, the search;

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Multi-Method Social Science

Reflecting the rising popularity of research that combines qualitative and quantitative social science, Multi-Method Social Science;

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Multi-method Social Science

Reflecting the rising popularity of research that combines qualitative and quantitative social science, Multi-Method Social Science;

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Big Data in Omics and Imaging, Two Volume Set

theory to genomic, epigenomic and imaging data analysis Develop novel statistics for genome-wide causation studies and;

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Extreme Risk Management

causation. Extreme Risk Management brings causation into the equation. The use of causal models in risk management, securities valuation, and;

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Causality, Probability, and Medicine

Why is understanding causation so important in philosophy and the sciences? Should causation be defined in terms of probability? Whilst;

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Causality, Probability, and Medicine

Why is understanding causation so important in philosophy and the sciences? Should causation be defined in terms of probability? Whilst;

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Agent-based Models and Causal Inference

provides a powerful and cogent alternative to standard statistical causal-modeling approaches to causation. Especially valuable is Manzo's careful;

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Philosophical and Scientific Perspectives on Downward Causation

Downward causation plays a fundamental role in many theories of metaphysics and philosophy of mind. It is strictly connected with many;

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Philosophical and Scientific Perspectives on Downward Causation

Downward causation plays a fundamental role in many theories of metaphysics and philosophy of mind. It is strictly connected with many;

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