{"title":"The NISS Ingram Olkin Forum on Unplanned Clinical Trial Disruptions","authors":"N. Flournoy","doi":"10.1080/19466315.2022.2152090","DOIUrl":null,"url":null,"abstract":"CONTACT Nancy Flournoy flournoyn@missouri.edu Department of Statistics, University of Missouri (emerita), Columbia. The efforts arose from working groups formed during a NISS Ingram Olkin Forum series on the following topics: (1)Estimands and Missing Data, (2) The Role of Randomization Tests, (3) Methods to Cope with Information Loss and the Use of Auxiliary Sources of Data and (4) Bayes and Frequentist Approaches to Rescuing Disrupted Trials. These groups consider how existing methods can be applied in the context of unplanned clinical trial disruptions and uncover unsolved issues requiring further research. In addition to introducing you to these research projects, I am pleased to provide a brief introduction to the NISS Ingram Olkin Forums. The National Institute of Statistical Sciences (NISS) created Ingram Olkin Forums (IOFs) to foster Statistics Serving Society (S3) in memory of Professor Ingram Olkin. Motivated by the aspirations set forth by Olkin et al. (1990), each forum focuses on a current societal issue that might benefit from new or renewed attention from the statistical community. IOFs aim to bring the latest innovations in statistical methodology and data science into new research and public policy collaborations, working to accelerate the development of innovative approaches that impact societal problems. As a Forum brings a particular group of experts together for the first time to consider an issue, new energy and synergy is expected to produce a flurry of new ideas and approaches. The inaugural IOF was held in June 1919 on Gun Violence, prior to the arrival of the Covid-19 pandemic. Knowing that many statisticians would use their expertise to monitor the pandemic and to design vaccine and therapeutic trials, the IOF Committee looked for a need that might be neglected and decided to host an online IOF on Unplanned Clinical Trial Disruptions. A major concern in moving online was not to get stuck with one-directional webinars, but to get statisticians and other scientists who did not know each other previously to work together without meeting in-person. I am delighted to announce four papers resulting from this IOF will appear in Statistics in Biopharmaceutical Research. NISS is very happy with how well the IOF on Unplanned Clinical Trial Disruptions met its S3 objectives, with enthusiastic collegiality and productivity, and although in-person and hybrid launches will again be possible, this IOF is now NISS’s model.","PeriodicalId":51280,"journal":{"name":"Statistics in Biopharmaceutical Research","volume":"15 1","pages":"92 - 93"},"PeriodicalIF":1.5000,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Statistics in Biopharmaceutical Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/19466315.2022.2152090","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MATHEMATICAL & COMPUTATIONAL BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
CONTACT Nancy Flournoy flournoyn@missouri.edu Department of Statistics, University of Missouri (emerita), Columbia. The efforts arose from working groups formed during a NISS Ingram Olkin Forum series on the following topics: (1)Estimands and Missing Data, (2) The Role of Randomization Tests, (3) Methods to Cope with Information Loss and the Use of Auxiliary Sources of Data and (4) Bayes and Frequentist Approaches to Rescuing Disrupted Trials. These groups consider how existing methods can be applied in the context of unplanned clinical trial disruptions and uncover unsolved issues requiring further research. In addition to introducing you to these research projects, I am pleased to provide a brief introduction to the NISS Ingram Olkin Forums. The National Institute of Statistical Sciences (NISS) created Ingram Olkin Forums (IOFs) to foster Statistics Serving Society (S3) in memory of Professor Ingram Olkin. Motivated by the aspirations set forth by Olkin et al. (1990), each forum focuses on a current societal issue that might benefit from new or renewed attention from the statistical community. IOFs aim to bring the latest innovations in statistical methodology and data science into new research and public policy collaborations, working to accelerate the development of innovative approaches that impact societal problems. As a Forum brings a particular group of experts together for the first time to consider an issue, new energy and synergy is expected to produce a flurry of new ideas and approaches. The inaugural IOF was held in June 1919 on Gun Violence, prior to the arrival of the Covid-19 pandemic. Knowing that many statisticians would use their expertise to monitor the pandemic and to design vaccine and therapeutic trials, the IOF Committee looked for a need that might be neglected and decided to host an online IOF on Unplanned Clinical Trial Disruptions. A major concern in moving online was not to get stuck with one-directional webinars, but to get statisticians and other scientists who did not know each other previously to work together without meeting in-person. I am delighted to announce four papers resulting from this IOF will appear in Statistics in Biopharmaceutical Research. NISS is very happy with how well the IOF on Unplanned Clinical Trial Disruptions met its S3 objectives, with enthusiastic collegiality and productivity, and although in-person and hybrid launches will again be possible, this IOF is now NISS’s model.
期刊介绍:
Statistics in Biopharmaceutical Research ( SBR), publishes articles that focus on the needs of researchers and applied statisticians in biopharmaceutical industries; academic biostatisticians from schools of medicine, veterinary medicine, public health, and pharmacy; statisticians and quantitative analysts working in regulatory agencies (e.g., U.S. Food and Drug Administration and its counterpart in other countries); statisticians with an interest in adopting methodology presented in this journal to their own fields; and nonstatisticians with an interest in applying statistical methods to biopharmaceutical problems.
Statistics in Biopharmaceutical Research accepts papers that discuss appropriate statistical methodology and information regarding the use of statistics in all phases of research, development, and practice in the pharmaceutical, biopharmaceutical, device, and diagnostics industries. Articles should focus on the development of novel statistical methods, novel applications of current methods, or the innovative application of statistical principles that can be used by statistical practitioners in these disciplines. Areas of application may include statistical methods for drug discovery, including papers that address issues of multiplicity, sequential trials, adaptive designs, etc.; preclinical and clinical studies; genomics and proteomics; bioassay; biomarkers and surrogate markers; models and analyses of drug history, including pharmacoeconomics, product life cycle, detection of adverse events in clinical studies, and postmarketing risk assessment; regulatory guidelines, including issues of standardization of terminology (e.g., CDISC), tolerance and specification limits related to pharmaceutical practice, and novel methods of drug approval; and detection of adverse events in clinical and toxicological studies. Tutorial articles also are welcome. Articles should include demonstrable evidence of the usefulness of this methodology (presumably by means of an application).
The Editorial Board of SBR intends to ensure that the journal continually provides important, useful, and timely information. To accomplish this, the board strives to attract outstanding articles by seeing that each submission receives a careful, thorough, and prompt review.
Authors can choose to publish gold open access in this journal.