{"title":"复杂组序设计软件","authors":"Yujie Zhao, Keaven Anderson","doi":"10.1016/j.cct.2025.107994","DOIUrl":null,"url":null,"abstract":"<div><div>Group sequential design (GSD) is a statistical methodology employed in clinical trials to enable interim analyses (IA) and potential early termination based on accumulating data. It has gained significant popularity in the field of clinical trials due to its ability to enhance decision-making and expedite the development of effective treatments. The implementation of GSD has grown progressively intricate in recent times. For instance, in several recent trials, the treatment effect may vary over both time and strata. Given the complexity of GSD, it is crucial to have appropriate software that facilitates the necessary calculations. This article will introduce R packages for GSD using both examples and simulations, notably gsDesign2 and simtrial.</div></div>","PeriodicalId":10636,"journal":{"name":"Contemporary clinical trials","volume":"155 ","pages":"Article 107994"},"PeriodicalIF":1.9000,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Software for complex group sequential designs\",\"authors\":\"Yujie Zhao, Keaven Anderson\",\"doi\":\"10.1016/j.cct.2025.107994\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Group sequential design (GSD) is a statistical methodology employed in clinical trials to enable interim analyses (IA) and potential early termination based on accumulating data. It has gained significant popularity in the field of clinical trials due to its ability to enhance decision-making and expedite the development of effective treatments. The implementation of GSD has grown progressively intricate in recent times. For instance, in several recent trials, the treatment effect may vary over both time and strata. Given the complexity of GSD, it is crucial to have appropriate software that facilitates the necessary calculations. This article will introduce R packages for GSD using both examples and simulations, notably gsDesign2 and simtrial.</div></div>\",\"PeriodicalId\":10636,\"journal\":{\"name\":\"Contemporary clinical trials\",\"volume\":\"155 \",\"pages\":\"Article 107994\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2025-06-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Contemporary clinical trials\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1551714425001880\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MEDICINE, RESEARCH & EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Contemporary clinical trials","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1551714425001880","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
Group sequential design (GSD) is a statistical methodology employed in clinical trials to enable interim analyses (IA) and potential early termination based on accumulating data. It has gained significant popularity in the field of clinical trials due to its ability to enhance decision-making and expedite the development of effective treatments. The implementation of GSD has grown progressively intricate in recent times. For instance, in several recent trials, the treatment effect may vary over both time and strata. Given the complexity of GSD, it is crucial to have appropriate software that facilitates the necessary calculations. This article will introduce R packages for GSD using both examples and simulations, notably gsDesign2 and simtrial.
期刊介绍:
Contemporary Clinical Trials is an international peer reviewed journal that publishes manuscripts pertaining to all aspects of clinical trials, including, but not limited to, design, conduct, analysis, regulation and ethics. Manuscripts submitted should appeal to a readership drawn from disciplines including medicine, biostatistics, epidemiology, computer science, management science, behavioural science, pharmaceutical science, and bioethics. Full-length papers and short communications not exceeding 1,500 words, as well as systemic reviews of clinical trials and methodologies will be published. Perspectives/commentaries on current issues and the impact of clinical trials on the practice of medicine and health policy are also welcome.