{"product_id":"9781119186861","title":"Causal Inference in Statistics: A Primer","description":"\u003cp\u003eMany of the concepts and terminology surrounding modern causal inference can be quite intimidating to the novice. Judea Pearl presents a book ideal for beginners in statistics, providing a comprehensive introduction to the field of causality.  Examples from classical statistics are presented throughout to demonstrate the need for causality in resolving decision-making dilemmas posed by data. Causal methods are also compared to traditional statistical methods, whilst questions are provided at the end of each section to aid student learning.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47120758735088,"sku":"9781119186861","price":46.5,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9781119186861_p0.jpg?v=1763696690","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9781119186861","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}