{"product_id":"the-data-analyst-s-guide-to-cause-and-effect-an-introduction-to-causal-inference-in-practice-quantitative-applications-in-the-social-sciences-original-pdf-from-publisher","title":"The Data Analyst’s Guide to Cause and Effect: An Introduction to Causal Inference in Practice (Quantitative Applications in the Social Sciences) (Original PDF from Publisher)","description":"\u003cdiv class=\"form-group\"\u003e\r\n\u003cdiv class=\"form-control-plaintext\"\u003e\r\n\u003cdiv class=\"form-group\"\u003e\r\n\r\n\u003cstrong\u003eby Theiss Bendixen, Benjamin Grant Purzycki\u003c\/strong\u003e\r\n\u003cdiv\u003e\r\n\u003cdiv\u003e\r\n\r\nUnderstanding 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.\r\n\r\nBuilt 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.\r\n\r\nWith 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.\r\n\r\n\u003c\/div\u003e\r\n\u003c\/div\u003e\r\n\u003c\/div\u003e\r\n\u003c\/div\u003e\r\n\u003c\/div\u003e","brand":"Medical Amboss","offers":[{"title":"Default Title","offer_id":43020453576802,"sku":"MED-AMB09353","price":10.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/9549\/6802\/files\/The-Data-Analysts-Guide-to-Cause-and-Effect.jpg?v=1781441425","url":"https:\/\/meducourse.com\/products\/the-data-analyst-s-guide-to-cause-and-effect-an-introduction-to-causal-inference-in-practice-quantitative-applications-in-the-social-sciences-original-pdf-from-publisher","provider":"Meducourse","version":"1.0","type":"link"}