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Causal Data Science: Estimating Identifiable Causal Effects
Causal inference is central to scientific inquiry and decision-making across numerous disciplines, including the social sciences, economics, biology, and medicine. Drawing causal conclusions from data fundamentally involves two primary tasks: first, causal effect identification, which is determining if a causal effect can be computed from available ...openaire +1 more source
Statistical Inference for causal Effects
2011Research questions motivating many scientific studies are causal in nature. Causal questions arise in medicine (e.g., how effective is a drug treatment?), economics (e.g., what are the effects of job training programs?), sociology (e.g., is there discrimination in labor markets?), customer satisfaction (e.g., what are the effects of different ways of ...
MEALLI, FABRIZIA +2 more
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Causal Inference, Causal Effect Estimation, and Systematic Error
2019Abstract Chapter 3 discusses basic concepts in causal inference, beginning with an introduction to potential outcomes and definitions of causal contrasts (or causal estimates of effect), concepts, terms, and notation. Many concepts introduced here will be developed further in subsequent chapters.
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Radiotherapy combination opportunities leveraging immunity for the next oncology practice
Ca-A Cancer Journal for Clinicians, 2017Fernanda G Herrera +2 more
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Oral complications of cancer and cancer therapy
Ca-A Cancer Journal for Clinicians, 2012Joel B Epstein, Andrei Barasch
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The Impact of the Internet on Cancer Outcomes
Ca-A Cancer Journal for Clinicians, 2003Gunther Eysenbach
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Promoting cancer screening within the patient centered medical home
Ca-A Cancer Journal for Clinicians, 2011Robert A Smith
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