{"product_id":"9780470669693","title":"Statistics in Practice: Statistical Design and Analysis of Drug Combination Studies","description":"\u003ch1\u003eStatistics in Practice: Statistical Design and Analysis of Drug Combination Studies\u003c\/h1\u003e \u003ch2\u003eTan, Ming; Fang, Hongbin; Ross, Douglas\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eDesign and analyze drug combination studies with statistical precision\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eIdentifying synergistic drug combinations requires rigorous statistical methodology to distinguish true interactions from simple additivity. \u003ci\u003eEvaluating Synergy: Statistical Design and Analysis of Drug Combination Studies\u003c\/i\u003e presents modern methods for optimally designing and analyzing combination studies in cancer, antiviral, and other therapeutic areas. Written by biostatisticians and a physician-scientist with decades of drug development experience, this book integrates statistical theory with practical pharmacology. \u003c\/p\u003e\u003cp\u003eThe book covers quantitative analysis of dose-effect data and experimental designs for two-drug, three-drug, and multi-drug combinations using systems biology pathway information. Readers gain a practical pipeline for identifying promising combinations through limited experimentation and single-drug data. Case studies demonstrate how efficient experimental design identified synergistic combinations in preclinical models that informed clinical protocols and led to meaningful patient benefit. \u003c\/p\u003e\u003cp\u003eReaders will also find: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eStatistical theory, methods, and computational algorithms for analyzing multidrug combinations, supported by an accompanying website featuring R code and datasets\u003c\/li\u003e \u003cli\u003eDetailed guidance on distinguishing simple additivity from true drug interactions and interpreting their biological and clinical significance \u003c\/li\u003e \u003cli\u003eExperimental design approaches for validating selected combinations in both in vivo studies and early-stage clinical trials across therapeutic areas\u003c\/li\u003e \u003cli\u003eApplications to herbal formulation design in phytomedicine and traditional Chinese medicine using systems biology and pathway information \u003c\/li\u003e \u003cli\u003eReal-world examples showing how preclinical findings translated to clinical development, including a cancer trial demonstrating significant patient benefit\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eDesigned for scientists in translational research, statisticians in drug development, and researchers in biostatistics and pharmacology, \u003ci\u003eEvaluating Synergy\u003c\/i\u003e serves as both a practical reference and an upper-graduate and graduate-level textbook. Readers need only a foundation in introductory statistics and linear regression.\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Wiley\u003c\/p\u003e \u003cp\u003ePublication Date: 2027-03-22\u003c\/p\u003e \u003cp\u003eFormat: Hardcover\u003c\/p\u003e \u003cp\u003eISBN-13: 9780470669693\u003c\/p\u003e \u003cp\u003eDOI: \u003c\/p\u003e \u003cp\u003eDimensions: 244.00cm x168.00cm\u003c\/p\u003e \u003cp\u003ePages: 256\u003c\/p\u003e ","brand":"Wiley","offers":[{"title":"Default Title","offer_id":45668424089740,"sku":"9780470669693","price":99.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9780470669693.jpg?v=1779496584","url":"https:\/\/lateknightbooks.com\/products\/9780470669693","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}