In September 2018 the FDA published a guidance on adaptive design for clinical trials of drugs and biologics, updating (not finalizing) its initial draft from February 2010. The main focus of the webinar will be to provide an overview of its main contents, which will be presented by Jürgen Hummel (PPD). In addition, Kaspar Rufibach (Roche) will introduce an open-source statistical software for adaptive designs, RPACT (an R package that enables the design and analysis of confirmatory adaptive clinical trials). Kit Roes will also comment on the guidance from a European Regulatory perspective, which will be followed by a brief panel discussion.
Registration
This Webinar is free to attend, to register please click here.
Jürgen Hummel joined PPD near Glasgow (Scotland) in 2006, where he is Senior Director, Statistical Science. He heads up the statistical science track within PPD Biostatistics and provides statistical consultancy both internally and externally. Specifically, he has been leading PPD’s cross-departmental Adaptive Design Working Group since it was set up 8 year ago. In his career he held a variety of technical and managerial positions within the biostatistics department of different organizations, predominantly within the CRO industry. Jürgen earned a Diplom (German equivalent of a master’s degree) in mathematics and economics at Augsburg University, Germany, and has been a chartered statistician with the Royal Statistical Society since 2006.
Kaspar Rufibach is a member of Roche's Methods, Collaboration, and Outreach group and located in Basel. He does methodological research, provides consulting to Roche statisticians and broader project teams, gives biostatistics trainings for statisticians and non-statisticians in- and externally, mentors students, and interacts with external partners in industry and the academic community in various working groups. He has co-founded and co-leads the Oncology estimand Working group that currently has 31 members from 19 companies and works on various topics around estimands in oncology. Research interests are methods to optimize study designs, advanced survival analysis, probability of success, estimands, estimation of treatment effects in subgroups, and general nonparametric statistics. Before joining Roche, Kaspar received training and worked as a statistician at the Universities of Bern, Stanford, and Zurich.
Kit Roes is Professor of Clinical Trial Methodology at the Julius Center of the University Medical Center Utrecht. His research focus is on design and analysis of clinical trials, with an emphasis of innovative designs, rare diseases and bridging the gap between clinical trials and real world evidence. He participates in the Regulatory Science Network Netherlands, is chair of Methodology at the Dutch Medicine Evaluation Board and member of the Biostatistics Working Party of the EMA. He serves on multiple Data and Safety Monitoring Boards. His experience includes over 20 years in clinical research and development in the pharmaceutical industry and academic life sciences, serving clinical research and drug development as expert as well as in different (international) senior management positions.
Scientific Meetings
PSI Webinar: Adaptive design: updated draft FDA guidance and its implications
In September 2018 the FDA published a guidance on adaptive design for clinical trials of drugs and biologics, updating (not finalizing) its initial draft from February 2010. The main focus of the webinar will be to provide an overview of its main contents, which will be presented by Jürgen Hummel (PPD). In addition, Kaspar Rufibach (Roche) will introduce an open-source statistical software for adaptive designs, RPACT (an R package that enables the design and analysis of confirmatory adaptive clinical trials). Kit Roes will also comment on the guidance from a European Regulatory perspective, which will be followed by a brief panel discussion.
Registration
This Webinar is free to attend, to register please click here.
Jürgen Hummel joined PPD near Glasgow (Scotland) in 2006, where he is Senior Director, Statistical Science. He heads up the statistical science track within PPD Biostatistics and provides statistical consultancy both internally and externally. Specifically, he has been leading PPD’s cross-departmental Adaptive Design Working Group since it was set up 8 year ago. In his career he held a variety of technical and managerial positions within the biostatistics department of different organizations, predominantly within the CRO industry. Jürgen earned a Diplom (German equivalent of a master’s degree) in mathematics and economics at Augsburg University, Germany, and has been a chartered statistician with the Royal Statistical Society since 2006.
Kaspar Rufibach is a member of Roche's Methods, Collaboration, and Outreach group and located in Basel. He does methodological research, provides consulting to Roche statisticians and broader project teams, gives biostatistics trainings for statisticians and non-statisticians in- and externally, mentors students, and interacts with external partners in industry and the academic community in various working groups. He has co-founded and co-leads the Oncology estimand Working group that currently has 31 members from 19 companies and works on various topics around estimands in oncology. Research interests are methods to optimize study designs, advanced survival analysis, probability of success, estimands, estimation of treatment effects in subgroups, and general nonparametric statistics. Before joining Roche, Kaspar received training and worked as a statistician at the Universities of Bern, Stanford, and Zurich.
Kit Roes is Professor of Clinical Trial Methodology at the Julius Center of the University Medical Center Utrecht. His research focus is on design and analysis of clinical trials, with an emphasis of innovative designs, rare diseases and bridging the gap between clinical trials and real world evidence. He participates in the Regulatory Science Network Netherlands, is chair of Methodology at the Dutch Medicine Evaluation Board and member of the Biostatistics Working Party of the EMA. He serves on multiple Data and Safety Monitoring Boards. His experience includes over 20 years in clinical research and development in the pharmaceutical industry and academic life sciences, serving clinical research and drug development as expert as well as in different (international) senior management positions.
Training Courses
PSI Webinar: Adaptive design: updated draft FDA guidance and its implications
In September 2018 the FDA published a guidance on adaptive design for clinical trials of drugs and biologics, updating (not finalizing) its initial draft from February 2010. The main focus of the webinar will be to provide an overview of its main contents, which will be presented by Jürgen Hummel (PPD). In addition, Kaspar Rufibach (Roche) will introduce an open-source statistical software for adaptive designs, RPACT (an R package that enables the design and analysis of confirmatory adaptive clinical trials). Kit Roes will also comment on the guidance from a European Regulatory perspective, which will be followed by a brief panel discussion.
Registration
This Webinar is free to attend, to register please click here.
Jürgen Hummel joined PPD near Glasgow (Scotland) in 2006, where he is Senior Director, Statistical Science. He heads up the statistical science track within PPD Biostatistics and provides statistical consultancy both internally and externally. Specifically, he has been leading PPD’s cross-departmental Adaptive Design Working Group since it was set up 8 year ago. In his career he held a variety of technical and managerial positions within the biostatistics department of different organizations, predominantly within the CRO industry. Jürgen earned a Diplom (German equivalent of a master’s degree) in mathematics and economics at Augsburg University, Germany, and has been a chartered statistician with the Royal Statistical Society since 2006.
Kaspar Rufibach is a member of Roche's Methods, Collaboration, and Outreach group and located in Basel. He does methodological research, provides consulting to Roche statisticians and broader project teams, gives biostatistics trainings for statisticians and non-statisticians in- and externally, mentors students, and interacts with external partners in industry and the academic community in various working groups. He has co-founded and co-leads the Oncology estimand Working group that currently has 31 members from 19 companies and works on various topics around estimands in oncology. Research interests are methods to optimize study designs, advanced survival analysis, probability of success, estimands, estimation of treatment effects in subgroups, and general nonparametric statistics. Before joining Roche, Kaspar received training and worked as a statistician at the Universities of Bern, Stanford, and Zurich.
Kit Roes is Professor of Clinical Trial Methodology at the Julius Center of the University Medical Center Utrecht. His research focus is on design and analysis of clinical trials, with an emphasis of innovative designs, rare diseases and bridging the gap between clinical trials and real world evidence. He participates in the Regulatory Science Network Netherlands, is chair of Methodology at the Dutch Medicine Evaluation Board and member of the Biostatistics Working Party of the EMA. He serves on multiple Data and Safety Monitoring Boards. His experience includes over 20 years in clinical research and development in the pharmaceutical industry and academic life sciences, serving clinical research and drug development as expert as well as in different (international) senior management positions.
Journal Club
PSI Webinar: Adaptive design: updated draft FDA guidance and its implications
In September 2018 the FDA published a guidance on adaptive design for clinical trials of drugs and biologics, updating (not finalizing) its initial draft from February 2010. The main focus of the webinar will be to provide an overview of its main contents, which will be presented by Jürgen Hummel (PPD). In addition, Kaspar Rufibach (Roche) will introduce an open-source statistical software for adaptive designs, RPACT (an R package that enables the design and analysis of confirmatory adaptive clinical trials). Kit Roes will also comment on the guidance from a European Regulatory perspective, which will be followed by a brief panel discussion.
Registration
This Webinar is free to attend, to register please click here.
Jürgen Hummel joined PPD near Glasgow (Scotland) in 2006, where he is Senior Director, Statistical Science. He heads up the statistical science track within PPD Biostatistics and provides statistical consultancy both internally and externally. Specifically, he has been leading PPD’s cross-departmental Adaptive Design Working Group since it was set up 8 year ago. In his career he held a variety of technical and managerial positions within the biostatistics department of different organizations, predominantly within the CRO industry. Jürgen earned a Diplom (German equivalent of a master’s degree) in mathematics and economics at Augsburg University, Germany, and has been a chartered statistician with the Royal Statistical Society since 2006.
Kaspar Rufibach is a member of Roche's Methods, Collaboration, and Outreach group and located in Basel. He does methodological research, provides consulting to Roche statisticians and broader project teams, gives biostatistics trainings for statisticians and non-statisticians in- and externally, mentors students, and interacts with external partners in industry and the academic community in various working groups. He has co-founded and co-leads the Oncology estimand Working group that currently has 31 members from 19 companies and works on various topics around estimands in oncology. Research interests are methods to optimize study designs, advanced survival analysis, probability of success, estimands, estimation of treatment effects in subgroups, and general nonparametric statistics. Before joining Roche, Kaspar received training and worked as a statistician at the Universities of Bern, Stanford, and Zurich.
Kit Roes is Professor of Clinical Trial Methodology at the Julius Center of the University Medical Center Utrecht. His research focus is on design and analysis of clinical trials, with an emphasis of innovative designs, rare diseases and bridging the gap between clinical trials and real world evidence. He participates in the Regulatory Science Network Netherlands, is chair of Methodology at the Dutch Medicine Evaluation Board and member of the Biostatistics Working Party of the EMA. He serves on multiple Data and Safety Monitoring Boards. His experience includes over 20 years in clinical research and development in the pharmaceutical industry and academic life sciences, serving clinical research and drug development as expert as well as in different (international) senior management positions.
Webinars
PSI Webinar: Adaptive design: updated draft FDA guidance and its implications
In September 2018 the FDA published a guidance on adaptive design for clinical trials of drugs and biologics, updating (not finalizing) its initial draft from February 2010. The main focus of the webinar will be to provide an overview of its main contents, which will be presented by Jürgen Hummel (PPD). In addition, Kaspar Rufibach (Roche) will introduce an open-source statistical software for adaptive designs, RPACT (an R package that enables the design and analysis of confirmatory adaptive clinical trials). Kit Roes will also comment on the guidance from a European Regulatory perspective, which will be followed by a brief panel discussion.
Registration
This Webinar is free to attend, to register please click here.
Jürgen Hummel joined PPD near Glasgow (Scotland) in 2006, where he is Senior Director, Statistical Science. He heads up the statistical science track within PPD Biostatistics and provides statistical consultancy both internally and externally. Specifically, he has been leading PPD’s cross-departmental Adaptive Design Working Group since it was set up 8 year ago. In his career he held a variety of technical and managerial positions within the biostatistics department of different organizations, predominantly within the CRO industry. Jürgen earned a Diplom (German equivalent of a master’s degree) in mathematics and economics at Augsburg University, Germany, and has been a chartered statistician with the Royal Statistical Society since 2006.
Kaspar Rufibach is a member of Roche's Methods, Collaboration, and Outreach group and located in Basel. He does methodological research, provides consulting to Roche statisticians and broader project teams, gives biostatistics trainings for statisticians and non-statisticians in- and externally, mentors students, and interacts with external partners in industry and the academic community in various working groups. He has co-founded and co-leads the Oncology estimand Working group that currently has 31 members from 19 companies and works on various topics around estimands in oncology. Research interests are methods to optimize study designs, advanced survival analysis, probability of success, estimands, estimation of treatment effects in subgroups, and general nonparametric statistics. Before joining Roche, Kaspar received training and worked as a statistician at the Universities of Bern, Stanford, and Zurich.
Kit Roes is Professor of Clinical Trial Methodology at the Julius Center of the University Medical Center Utrecht. His research focus is on design and analysis of clinical trials, with an emphasis of innovative designs, rare diseases and bridging the gap between clinical trials and real world evidence. He participates in the Regulatory Science Network Netherlands, is chair of Methodology at the Dutch Medicine Evaluation Board and member of the Biostatistics Working Party of the EMA. He serves on multiple Data and Safety Monitoring Boards. His experience includes over 20 years in clinical research and development in the pharmaceutical industry and academic life sciences, serving clinical research and drug development as expert as well as in different (international) senior management positions.
Careers Meetings
PSI Webinar: Adaptive design: updated draft FDA guidance and its implications
In September 2018 the FDA published a guidance on adaptive design for clinical trials of drugs and biologics, updating (not finalizing) its initial draft from February 2010. The main focus of the webinar will be to provide an overview of its main contents, which will be presented by Jürgen Hummel (PPD). In addition, Kaspar Rufibach (Roche) will introduce an open-source statistical software for adaptive designs, RPACT (an R package that enables the design and analysis of confirmatory adaptive clinical trials). Kit Roes will also comment on the guidance from a European Regulatory perspective, which will be followed by a brief panel discussion.
Registration
This Webinar is free to attend, to register please click here.
Jürgen Hummel joined PPD near Glasgow (Scotland) in 2006, where he is Senior Director, Statistical Science. He heads up the statistical science track within PPD Biostatistics and provides statistical consultancy both internally and externally. Specifically, he has been leading PPD’s cross-departmental Adaptive Design Working Group since it was set up 8 year ago. In his career he held a variety of technical and managerial positions within the biostatistics department of different organizations, predominantly within the CRO industry. Jürgen earned a Diplom (German equivalent of a master’s degree) in mathematics and economics at Augsburg University, Germany, and has been a chartered statistician with the Royal Statistical Society since 2006.
Kaspar Rufibach is a member of Roche's Methods, Collaboration, and Outreach group and located in Basel. He does methodological research, provides consulting to Roche statisticians and broader project teams, gives biostatistics trainings for statisticians and non-statisticians in- and externally, mentors students, and interacts with external partners in industry and the academic community in various working groups. He has co-founded and co-leads the Oncology estimand Working group that currently has 31 members from 19 companies and works on various topics around estimands in oncology. Research interests are methods to optimize study designs, advanced survival analysis, probability of success, estimands, estimation of treatment effects in subgroups, and general nonparametric statistics. Before joining Roche, Kaspar received training and worked as a statistician at the Universities of Bern, Stanford, and Zurich.
Kit Roes is Professor of Clinical Trial Methodology at the Julius Center of the University Medical Center Utrecht. His research focus is on design and analysis of clinical trials, with an emphasis of innovative designs, rare diseases and bridging the gap between clinical trials and real world evidence. He participates in the Regulatory Science Network Netherlands, is chair of Methodology at the Dutch Medicine Evaluation Board and member of the Biostatistics Working Party of the EMA. He serves on multiple Data and Safety Monitoring Boards. His experience includes over 20 years in clinical research and development in the pharmaceutical industry and academic life sciences, serving clinical research and drug development as expert as well as in different (international) senior management positions.
Upcoming Events
PSI Mentoring 2025
Date: Ongoing 6 month cycle beginning late April/early May 2024
Are you a member of PSI looking to further your career or help develop others - why not sign up to the PSI Mentoring scheme? You can expand your network, improve your leadership skills and learn from more senior colleagues in the industry.
PSI Training Course: Mixed Models and Repeated Measures
This course is presented through lectures and practical sessions using SAS code. It is suitable for statisticians working on clinical trials, who already have a good understanding of linear and generalised linear models.
Joint PSI/EFSPI Visualisation SIG 'Wonderful Wednesday' Webinars
Our monthly webinar explores examples of innovative data visualisations relevant to our day to day work. Each month a new dataset is provided from a clinical trial or other relevant example, and participants are invited to submit a graphic that communicates interesting and relevant characteristics of the data.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
This is an interactive online training workshop providing an in-depth review of the estimand framework as laid out by ICH E9(R1) addendum with inputs from estimand experts, case studies, quizzes and opportunity for discussions. You will develop an estimand in a therapeutic area of interest to your company. In an online break-out room, you will join a series of team discussions to implement the estimand framework in a case study, aligning estimands, design, conduct, analysis, (assumptions + sensitivity analyses) to the clinical objective and therapeutic setting.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.