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.
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.
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.
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.
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.
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.
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.