{"product_id":"9783032315892","title":"Group Sequential Design in R A Practical Guide to the gsDesign Web Interface","description":"\u003ch3\u003eUse R!\u003c\/h3\u003e\u003ch1\u003eGroup Sequential Design in R\u003c\/h1\u003e\u003ch2\u003eA Practical Guide to the gsDesign Web Interface\u003c\/h2\u003e\u003ch3\u003eKeaven M. Anderson | Nan Xiao\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eMedical \/ Biostatistics\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\u003cp\u003eThis book provides a practical, hands-on guide to designing group sequential clinical trials using the gsDesign web interface, built on the R package gsDesign. Group sequential designs allow pre-planned interim analyses during a clinical trial, offering the potential to stop early for efficacy or futility while maintaining control of the Type I error rate. The web interface enables users to generate flexible group sequential designs using only a web browser, with no need for specialized statistical software.\u003cbr\u003eThe book covers the full range of endpoint types supported by the interface, including time-to-event, binomial, and normal outcomes, with extensive worked examples throughout. Starting from the basics of converting a fixed design to a group sequential design, the presentation progresses through spending function families, information-based designs, and various testing configurations including two-sided, one-sided, and asymmetric designs with binding or non-binding futility bounds. Practical features such as saving and restoring designs, generating reproducible R Markdown reports, and updating bounds at the time of analysis are demonstrated in detail. An introduction to R coding with the gsDesign package extends the coverage to additional topics including conditional and predictive power, repeated confidence intervals, and sample size adaptation methods. Primarily written for biostatisticians and clinical trialists in academia and the pharmaceutical industry, the book keeps mathematical detail to a minimum, making group sequential design methods accessible to practitioners with a basic statistical background.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003cp\u003eKeaven M. Anderson is the Scientific AVP of Methodology Research in Biostatistics at Merck \u0026amp; Co., Inc., Rahway, NJ, USA. He received his doctorate in Mathematical Statistics from Stanford University, followed by post-doctoral work at the Harvard School of Public Health. Prior to joining the company in 2003, he worked at Centocor\/Johnson \u0026amp; Johnson and at the National Heart, Lung and Blood Institute at the Framingham Heart Study. He is a Fellow of the American Statistical Association. His major research interests are in clinical trials, survival analysis, group sequential design, and multiplicity, with a current focus on supporting the use of open source R software for regulatory purposes. He is the creator and principal developer of the R package gsDesign and its web interface.\u003c\/p\u003e\r\n\u003cp\u003eNan Xiao is a Principal Biostatistician in Methodology Research, Biostatistics at Merck \u0026amp; Co., Inc., Rahway, NJ, USA. He received his PhD in Statistics from Central South University, China. His work focuses on research software engineering for regulatory-compliant data analysis and submissions, with particular interests in R software for clinical trials. He has led the development and standardization of R workflows for clinical study reporting and contributed to the first successful R-based submission through the FDA eCTD gateway via the R Consortium R Submissions Working Group. He is a recipient of the John M. Chambers Statistical Software Award from the American Statistical Association.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e11 September 2026\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eSpringer Nature Switzerland\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eSpringer\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9783032315892\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Springer Nature Switzerland","offers":[{"title":"Default Title","offer_id":50450073485452,"sku":"9783032315892","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783032315892.jpg?v=1780593333","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9783032315892","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}