Date: Tuesday 24th October 2023 Time: 14:00-15:00 BST | 15:00-16:00 CEST Speaker: PD Dr. Ulf Tölch (Berlin Institute of Health)
Who is this event intended for? Statisticians in Pharmaceutical Industry. What is the benefit of attending? Learning how to enhance efficient evidence generation of preclinical experiments.
Registration
Registration for this webinar is free to both Members of PSI and Non-Members.
Please click here to register.
Overview
PD Dr. Tölch will present a framework to foster efficient evidence generation in preclinical experiments and will illustrate the proposed approach using examples from various projects. This will be followed by Q&A.
Abstract The ultimate goal of preclinical research is to identify interventions that can be tested in clinical settings. Whereas safety and toxicity testing are highly regulated, efficacy testing is often variable consisting of several iterative experimental steps. Consequently, experimental design and statistical testing have to be adopted to the goals of each experiment. Additional factors like available resources, already collected evidence, and maturity of the project need to be considered as well. The ultimate goal is to efficiently identify effective interventions. Here, I present a framework to systematically adjust validity and reliability in preclinical experiments to foster efficient evidence generation. To illustrate this approach, I will present examples from our consultation project within the Berlin Institute of Health and on the national level for multicenter preclinical studies.
Speaker details
Speaker
Biography
PD Dr. Ulf Tölch
Ulf Tölch obtained his PhD in biology at LMU Munich. His research includes cognitive neuroscience, quantitative methods and statistical modelling of decision making. He currently serves as a research group leader at BIH QUEST Center for Responsible Research at Charité Universitätsmedizin. His research team explores robust methodological approaches in preclinical settings to inform and improve research decisions.
Scientific Meetings
PSI Pre-Clinical SIG Webinar: Adjusting Experimental & Statistical Approaches throughout Preclinical development pathways
Date: Tuesday 24th October 2023 Time: 14:00-15:00 BST | 15:00-16:00 CEST Speaker: PD Dr. Ulf Tölch (Berlin Institute of Health)
Who is this event intended for? Statisticians in Pharmaceutical Industry. What is the benefit of attending? Learning how to enhance efficient evidence generation of preclinical experiments.
Registration
Registration for this webinar is free to both Members of PSI and Non-Members.
Please click here to register.
Overview
PD Dr. Tölch will present a framework to foster efficient evidence generation in preclinical experiments and will illustrate the proposed approach using examples from various projects. This will be followed by Q&A.
Abstract The ultimate goal of preclinical research is to identify interventions that can be tested in clinical settings. Whereas safety and toxicity testing are highly regulated, efficacy testing is often variable consisting of several iterative experimental steps. Consequently, experimental design and statistical testing have to be adopted to the goals of each experiment. Additional factors like available resources, already collected evidence, and maturity of the project need to be considered as well. The ultimate goal is to efficiently identify effective interventions. Here, I present a framework to systematically adjust validity and reliability in preclinical experiments to foster efficient evidence generation. To illustrate this approach, I will present examples from our consultation project within the Berlin Institute of Health and on the national level for multicenter preclinical studies.
Speaker details
Speaker
Biography
PD Dr. Ulf Tölch
Ulf Tölch obtained his PhD in biology at LMU Munich. His research includes cognitive neuroscience, quantitative methods and statistical modelling of decision making. He currently serves as a research group leader at BIH QUEST Center for Responsible Research at Charité Universitätsmedizin. His research team explores robust methodological approaches in preclinical settings to inform and improve research decisions.
Training Courses
PSI Pre-Clinical SIG Webinar: Adjusting Experimental & Statistical Approaches throughout Preclinical development pathways
Date: Tuesday 24th October 2023 Time: 14:00-15:00 BST | 15:00-16:00 CEST Speaker: PD Dr. Ulf Tölch (Berlin Institute of Health)
Who is this event intended for? Statisticians in Pharmaceutical Industry. What is the benefit of attending? Learning how to enhance efficient evidence generation of preclinical experiments.
Registration
Registration for this webinar is free to both Members of PSI and Non-Members.
Please click here to register.
Overview
PD Dr. Tölch will present a framework to foster efficient evidence generation in preclinical experiments and will illustrate the proposed approach using examples from various projects. This will be followed by Q&A.
Abstract The ultimate goal of preclinical research is to identify interventions that can be tested in clinical settings. Whereas safety and toxicity testing are highly regulated, efficacy testing is often variable consisting of several iterative experimental steps. Consequently, experimental design and statistical testing have to be adopted to the goals of each experiment. Additional factors like available resources, already collected evidence, and maturity of the project need to be considered as well. The ultimate goal is to efficiently identify effective interventions. Here, I present a framework to systematically adjust validity and reliability in preclinical experiments to foster efficient evidence generation. To illustrate this approach, I will present examples from our consultation project within the Berlin Institute of Health and on the national level for multicenter preclinical studies.
Speaker details
Speaker
Biography
PD Dr. Ulf Tölch
Ulf Tölch obtained his PhD in biology at LMU Munich. His research includes cognitive neuroscience, quantitative methods and statistical modelling of decision making. He currently serves as a research group leader at BIH QUEST Center for Responsible Research at Charité Universitätsmedizin. His research team explores robust methodological approaches in preclinical settings to inform and improve research decisions.
Journal Club
PSI Pre-Clinical SIG Webinar: Adjusting Experimental & Statistical Approaches throughout Preclinical development pathways
Date: Tuesday 24th October 2023 Time: 14:00-15:00 BST | 15:00-16:00 CEST Speaker: PD Dr. Ulf Tölch (Berlin Institute of Health)
Who is this event intended for? Statisticians in Pharmaceutical Industry. What is the benefit of attending? Learning how to enhance efficient evidence generation of preclinical experiments.
Registration
Registration for this webinar is free to both Members of PSI and Non-Members.
Please click here to register.
Overview
PD Dr. Tölch will present a framework to foster efficient evidence generation in preclinical experiments and will illustrate the proposed approach using examples from various projects. This will be followed by Q&A.
Abstract The ultimate goal of preclinical research is to identify interventions that can be tested in clinical settings. Whereas safety and toxicity testing are highly regulated, efficacy testing is often variable consisting of several iterative experimental steps. Consequently, experimental design and statistical testing have to be adopted to the goals of each experiment. Additional factors like available resources, already collected evidence, and maturity of the project need to be considered as well. The ultimate goal is to efficiently identify effective interventions. Here, I present a framework to systematically adjust validity and reliability in preclinical experiments to foster efficient evidence generation. To illustrate this approach, I will present examples from our consultation project within the Berlin Institute of Health and on the national level for multicenter preclinical studies.
Speaker details
Speaker
Biography
PD Dr. Ulf Tölch
Ulf Tölch obtained his PhD in biology at LMU Munich. His research includes cognitive neuroscience, quantitative methods and statistical modelling of decision making. He currently serves as a research group leader at BIH QUEST Center for Responsible Research at Charité Universitätsmedizin. His research team explores robust methodological approaches in preclinical settings to inform and improve research decisions.
Webinars
PSI Pre-Clinical SIG Webinar: Adjusting Experimental & Statistical Approaches throughout Preclinical development pathways
Date: Tuesday 24th October 2023 Time: 14:00-15:00 BST | 15:00-16:00 CEST Speaker: PD Dr. Ulf Tölch (Berlin Institute of Health)
Who is this event intended for? Statisticians in Pharmaceutical Industry. What is the benefit of attending? Learning how to enhance efficient evidence generation of preclinical experiments.
Registration
Registration for this webinar is free to both Members of PSI and Non-Members.
Please click here to register.
Overview
PD Dr. Tölch will present a framework to foster efficient evidence generation in preclinical experiments and will illustrate the proposed approach using examples from various projects. This will be followed by Q&A.
Abstract The ultimate goal of preclinical research is to identify interventions that can be tested in clinical settings. Whereas safety and toxicity testing are highly regulated, efficacy testing is often variable consisting of several iterative experimental steps. Consequently, experimental design and statistical testing have to be adopted to the goals of each experiment. Additional factors like available resources, already collected evidence, and maturity of the project need to be considered as well. The ultimate goal is to efficiently identify effective interventions. Here, I present a framework to systematically adjust validity and reliability in preclinical experiments to foster efficient evidence generation. To illustrate this approach, I will present examples from our consultation project within the Berlin Institute of Health and on the national level for multicenter preclinical studies.
Speaker details
Speaker
Biography
PD Dr. Ulf Tölch
Ulf Tölch obtained his PhD in biology at LMU Munich. His research includes cognitive neuroscience, quantitative methods and statistical modelling of decision making. He currently serves as a research group leader at BIH QUEST Center for Responsible Research at Charité Universitätsmedizin. His research team explores robust methodological approaches in preclinical settings to inform and improve research decisions.
Careers Meetings
PSI Pre-Clinical SIG Webinar: Adjusting Experimental & Statistical Approaches throughout Preclinical development pathways
Date: Tuesday 24th October 2023 Time: 14:00-15:00 BST | 15:00-16:00 CEST Speaker: PD Dr. Ulf Tölch (Berlin Institute of Health)
Who is this event intended for? Statisticians in Pharmaceutical Industry. What is the benefit of attending? Learning how to enhance efficient evidence generation of preclinical experiments.
Registration
Registration for this webinar is free to both Members of PSI and Non-Members.
Please click here to register.
Overview
PD Dr. Tölch will present a framework to foster efficient evidence generation in preclinical experiments and will illustrate the proposed approach using examples from various projects. This will be followed by Q&A.
Abstract The ultimate goal of preclinical research is to identify interventions that can be tested in clinical settings. Whereas safety and toxicity testing are highly regulated, efficacy testing is often variable consisting of several iterative experimental steps. Consequently, experimental design and statistical testing have to be adopted to the goals of each experiment. Additional factors like available resources, already collected evidence, and maturity of the project need to be considered as well. The ultimate goal is to efficiently identify effective interventions. Here, I present a framework to systematically adjust validity and reliability in preclinical experiments to foster efficient evidence generation. To illustrate this approach, I will present examples from our consultation project within the Berlin Institute of Health and on the national level for multicenter preclinical studies.
Speaker details
Speaker
Biography
PD Dr. Ulf Tölch
Ulf Tölch obtained his PhD in biology at LMU Munich. His research includes cognitive neuroscience, quantitative methods and statistical modelling of decision making. He currently serves as a research group leader at BIH QUEST Center for Responsible Research at Charité Universitätsmedizin. His research team explores robust methodological approaches in preclinical settings to inform and improve research decisions.
Upcoming Events
Joint PSI/EFSPI Visualisation SIG 'Wonderful Wednesday' Webinars
Date: The Second Wednesday of every Month
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.
Date: Tuesday 10th December 2024
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
Date: Thursday 12th December 2024
Chaired by Jenny Devenport, join us to hear Andy Grieve and Zhiwei Zhang discuss their recent work on group sequential designs.
PSI Introduction to Industry Training (ITIT) Course - 2024/2025
Date: October 2024 - July 2025
An introductory course giving an overview of the pharmaceutical industry and the drug development process as a whole, aimed at those with 1-3 years' experience. It comprises of six 2-day sessions covering a range of topics including Research and Development, Toxicology, Data Management and the Role of a CRO, Clinical Trials, Reimbursement, and Marketing.
PSI Training Course: Mixed Models and Repeated Measures
Dates:
Monday 3rd February 2025: 08:30-13:00 BST
Tuesday 4th February 2025: 08:30 - 13:00 BST
Wednesday 5th February 2025: 08:30 - 13:00 BST
Thursday 6th February 2025: 08:30 - 13:00 BST
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.