{"title":"Ian C. Marschner","description":"\u003cp\u003eIan C. Marschner's works delve deeply into the principles of biostatistics, offering readers clear explanations and rigorous approaches to inference within scientific research. His writing is ideal for those seeking to understand complex statistical methods applied in biomedicine and related fields.\u003c\/p\u003e\n\n\u003cp\u003eWithin the \u003cem\u003eScience \u0026amp; Nature\u003c\/em\u003e category, Marschner’s books combine theoretical insight with practical application, making them valuable resources for students, researchers, and professionals looking to enhance their analytical skills in biostatistics and beyond.\u003c\/p\u003e","products":[{"product_id":"inference-principles-for-biostatisticians-by-ian-c-marschner-9781482222234","title":"Inference Principles for Biostatisticians","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003eDesigned for students training to become biostatisticians as well as practising biostatisticians, \u003cem\u003eInference Principles for Biostatisticians\u003c\/em\u003e presents the theoretical and conceptual foundations of biostatistics. It covers the theoretical underpinnings essential to understanding subsequent core methodologies in the field.\u003c\/p\u003e\n\n\u003cp\u003eDrawing on his extensive experience teaching graduate-level biostatistics courses and working in the pharmaceutical industry, the author explains the main principles of statistical inference with many examples and exercises. Extended examples illustrate key concepts in depth using a specific biostatistical context. In addition, the author uses simulation to reinforce the repeated sampling interpretation of numerous statistical concepts. Reducing the computational complexities, he provides simple R functions for conducting simulation studies.\u003c\/p\u003e\n\n\u003cp\u003eThis text gives graduate students with diverse backgrounds across the health, medical, social, and mathematical sciences a solid, unified foundation in the principles of statistical inference. This groundwork will lead students to develop a thorough understanding of biostatistical methodology.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Unknown","offers":[{"title":"Default Title","offer_id":47606206071020,"sku":"9781482222234","price":212.0,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/35e7b3d9c08302dc7537d9c396369a27.jpg?v=1778193143"}],"url":"https:\/\/bookhero.co.nz\/collections\/ian-c-marschner.oembed","provider":"Book Hero","version":"1.0","type":"link"}