{"product_id":"b0gx2yk9mg","title":"Cause and Correlation in Biology","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","brand":"ANT","offers":[{"title":"Ebook","offer_id":54234692714859,"sku":"YSL29633","price":27.92,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0978\/1674\/0203\/files\/71zaKgo9VPL._SY1500.jpg?v=1792841371","url":"https:\/\/www.booktavero.com\/products\/b0gx2yk9mg","provider":"BookTavero","version":"1.0","type":"link"}