The course will provide participants the opportunity to gain insight into some of the more useful new methodologies for missing data, with a view to being at the service of the real scientific question of interest.
The aim of this course is to provide participants with an understanding of missing data, its link with what is to be estimated in a study (the “estimand”), and statistical modelling approaches. The 2 day course includes workshops: participants will undertake a number of practical exercises on missing data in SAS.
The course will provide participants the opportunity to gain insight into some of the more useful new methodologies for missing data, with a view to being at the service of the real scientific question of interest. Multiple imputation (MI) will be emphasised – due to this method’s flexibility.
Attendees will require a laptop with access to SAS.
The following topics will be covered:
- History of research into missing data
- Prevention of missing data and impact on study power
- Missing Data and its relation to the estimand
- Estimands and their models
- Multiple imputation I: models for missing data
- Weighting I: weighting for missing data
- Multiple imputation II: methods for non-continuous endpoints
- Weighting II: augmenting weighed data with model estimates
- Composite endpoints
- Case studies
Course runs from:
10:00 - 17:00 (registration from 09:00) on Day 1
09:00 - 16:00 on Day 2
Registration
Registration costs include lunch and refreshments. PSI are holding a limited number of hotel rooms until the 31st January 2018 which will be allocated on a first come first served basis.
PSI VisSIG Wonderful Wednesday Webinar Series (2023)
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.
PSI Launch & Lifecycle SIG Webinar: Do you want to stay single? Considerations on single arm trials in the post-regulatory space
We will present the most frequently asked questions in the post-marketing space, the reasons why SATs are not able to address these questions, and how statisticians might reasonably influence decision makers to consider alternatives.
PSI Scientific Meeting: Patient-focused drug development
The meeting will consider the importance of patient-centric input into regulatory and HTA decision-making discussing the latest developments in the field and presenting industry examples.
PSI Pre-Clinical SIG Webinar: Adjusting Experimental & Statistical Approaches throughout Preclinical development pathways
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.
PSI Vaccine SIG Webinar: A Vaccine Statistician’s Journey in Designing and Analyzing Monoclonal Antibody Studies
Our speaker will share her experience in extending/innovating methodology and concepts developed in vaccine statistics to the analyses of pre-efficacy and efficacy trials of monoclonal antibodies.
PSI Training Course: Sample Sizing for Clinical Trials
This course describes calculations for sample size estimation in the design of clinical trials. It will highlight how the objectives of a clinical trial will impact on sample size calculations. The course is a practical course and all methods will be illustrated with examples and case studies.
PSI Biomarkers SIG Webinar: A promising adaptive biomarker-based design strategy for early phase and machine learning as an enabler of precision medicine!
In this webinar, you will get to know how an innovative adaptive design can increase the probability of success of your early phase clinical trial as well as hear the latest and greatest of the Machine Learning workstream from the Biomarkers ESIG.
This one-day event will establish a forum to engage with colleagues from a diverse range of backgrounds who are actively working on effective master protocol design, analysis, and execution.
This event is aimed at students with an interest in the field of Medical Statistics, for example within pharmaceuticals, healthcare and/or medical research.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
PSI Webinar(s): Causal inference in Clinical Trials
Over the course of two sessions, a panel of 8 esteemed speakers will give an introduction to the topic, followed by a presentation of case studies & interactive panel discussion.
Statisticians in the Pharmaceutical Industry Executive Office: c/o MCI UK Ltd | Unit 24/22 South | Building 4000 | Langstone Park| Langstone Road | Havant | PO9 1SA | UK