{"product_id":"cause-and-correlation-in-biology","title":"Cause and Correlation in Biology","description":"Aimed at practising biologists, especially graduate students and researchers in ecology, this revised and expanded 3rd edition continues to explore cause-effect relationships through a series of robust statistical methods. Every chapter has been updated, and two brand-new chapters cover statistical power, Akaike information criterion statistics and equivalent models, and piecewise structural equation modelling with implicit latent variables. A new R package (pwSEM) is included to assist with the latter. The book offers advanced coverage of essential topics, including d-separation tests and path analysis, and equips biologists with the tools needed to carry out analyses in the open-source R statistical environment. Writing in a conversational style that minimises technical jargon, Shipley offers an accessible text that assumes only a very basic knowledge of introductory statistics, incorporating real-world examples that allow readers to make connections between biological phenomena and the underlying statistical concepts.","brand":"Gardners","offers":[{"title":"Default Title","offer_id":57502338842997,"sku":"9781009560399","price":125.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0612\/7193\/3106\/files\/9781009560399.jpg?v=1786781179","url":"https:\/\/backstory.london\/products\/cause-and-correlation-in-biology","provider":"Backstory","version":"1.0","type":"link"}