{"product_id":"cause-and-correlation-in-biology-9781009560382","title":"Cause and Correlation in Biology: A User's Guide to Path Analysis, Structural Equations and Causal Inference with R","description":"\u003cp\u003eAimed 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.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9781009560382\u003c\/p\u003e","brand":"Bill Shipley","offers":[{"title":"Paperback","offer_id":50077579182330,"sku":"9781009560382","price":47.2,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/files\/9781009560382.jpg?v=1786799900","url":"https:\/\/shulphink.com\/products\/cause-and-correlation-in-biology-9781009560382","provider":"Shulph Ink","version":"1.0","type":"link"}