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The Data Analyst’s Guide to Cause and Effect: An Introduction to Applied Causal Inference - Brossura
Sinossi
Understanding cause-and-effect relationships is essential for credible research and informed decision-making. The Data Analyst’s Guide to Cause and Effect offers a clear, practical roadmap for answering causal questions using both experimental and observational data.
Built around the EEESI workflow—Estimand, Estimator, Estimate, Simulation-based Inference—this book provides a systematic approach to defining, estimating, and validating causal effects. Readers will learn to apply modern techniques such as g-methods, inverse probability weighting, poststratification, and multilevel modeling, while tackling challenges like confounding and missing data.
With hands-on examples in R, code snippets, and simulation exercises, this guide balances rigor with accessibility. Ideal for graduate courses and applied researchers, it equips readers to move beyond simple associations and make credible causal inferences that inform theory, policy, and practice.
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The Data Analyst's Guide to Cause and Effect
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Paperback. Condizione: New. The Data Analyst's Guide to Cause and Effect offers a clear, practical roadmap built around the EEESI workflow-Estimand, Estimator, Estimate, Simulation-based Inference. This book provides a systematic approach to defining, estimating, and validating causal effects, allowing readers to learn to apply modern techniques and move beyond simple associations to make credible causal inferences that inform theory, policy, and practice. Codice articolo LU-9798348848712
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The Data Analysts Guide to Cause and Effect (Paperback)
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Paperback. Condizione: new. Paperback. The Data Analysts Guide to Cause and Effect offers a clear, practical roadmap built around the EEESI workflowEstimand, Estimator, Estimate, Simulation-based Inference. This book provides a systematic approach to defining, estimating, and validating causal effects, allowing readers to learn to apply modern techniques and move beyond simple associations to make credible causal inferences that inform theory, policy, and practice. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9798348848712
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The Data Analyst's Guide to Cause and Effect: An Introduction to Causal Inference in Practice (Quantitative Applications in the Social Sciences)
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The Data Analyst's Guide to Cause and Effect : An Introduction to Causal Inference in Practice
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Taschenbuch. Condizione: Neu. Neuware - The Data Analyst¿s Guide to Cause and Effect offers a clear, practical roadmap built around the EEESI workflow-Estimand, Estimator, Estimate, Simulation-based Inference. This book provides a systematic approach to defining, estimating, and validating causal effects, allowing readers to learn to apply modern techniques and move beyond simple associations to make credible causal inferences that inform theory, policy, and practice. Codice articolo 9798348848712
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Paperback. Condizione: new. Paperback. The Data Analysts Guide to Cause and Effect offers a clear, practical roadmap built around the EEESI workflowEstimand, Estimator, Estimate, Simulation-based Inference. This book provides a systematic approach to defining, estimating, and validating causal effects, allowing readers to learn to apply modern techniques and move beyond simple associations to make credible causal inferences that inform theory, policy, and practice. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Codice articolo 9798348848712
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The Data Analysts Guide to Cause and Effect (Paperback)
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Paperback. Condizione: new. Paperback. The Data Analysts Guide to Cause and Effect offers a clear, practical roadmap built around the EEESI workflowEstimand, Estimator, Estimate, Simulation-based Inference. This book provides a systematic approach to defining, estimating, and validating causal effects, allowing readers to learn to apply modern techniques and move beyond simple associations to make credible causal inferences that inform theory, policy, and practice. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9798348848712
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The Data Analyst's Guide to Cause and Effect
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Paperback. Condizione: New. The Data Analyst's Guide to Cause and Effect offers a clear, practical roadmap built around the EEESI workflow-Estimand, Estimator, Estimate, Simulation-based Inference. This book provides a systematic approach to defining, estimating, and validating causal effects, allowing readers to learn to apply modern techniques and move beyond simple associations to make credible causal inferences that inform theory, policy, and practice. Codice articolo LU-9798348848712
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The Data Analyst's Guide to Cause and Effect
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Taschenbuch. Condizione: Neu. Neuware -The Data Analyst¿s Guide to Cause and Effect offers a clear, practical roadmap built around the EEESI workflow-Estimand, Estimator, Estimate, Simulation-based Inference. This book provides a systematic approach to defining, estimating, and validating causal effects, allowing readers to learn to apply modern techniques and move beyond simple associations to make credible causal inferences that inform theory, policy, and practice. 168 pp. Englisch. Codice articolo 9798348848712
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