Our first event of the year was on the topic of Poisson/Negative Binomial Modelling and the different techniques for dealing with missing data. The event took place on March 10th, with speakers Richard Kay and Mouna Akacha presenting their work.
Chair: Oliver Keene (GSK)
Speaker: Richard Kay (RK Statistics) The analysis of incontinence episodes and other count data in patients with overactive bladder by Poisson and negative binomial regression Authors: R Martina, R Kay, R van Maanen, A Ridder
Pharmaceutical Statistics, Volume 14, Issue 2, Pages 151-160, March/April 2015
Links: Abstract | Paper+ | Slides
Speaker: Mouna Akacha (Novartis) Sensitivity analyses for partially observed recurrent event data Authors: Mouna Akacha and Emmanuel O. Ogundimu
Pharmaceutical Statistics, Volume 15, Issue 1, Pages 4-14, January/February 2016
Links: Abstract | Paper+ | Slides
+Papers available to view from 3rd March 2016 to 31st March 2016.
For a flier advertising the event, please click here.
For further information on future events, please visit the Journal Club homepage.
Our first event of the year was on the topic of Poisson/Negative Binomial Modelling and the different techniques for dealing with missing data. The event took place on March 10th, with speakers Richard Kay and Mouna Akacha presenting their work.
Chair: Oliver Keene (GSK)
Speaker: Richard Kay (RK Statistics) The analysis of incontinence episodes and other count data in patients with overactive bladder by Poisson and negative binomial regression Authors: R Martina, R Kay, R van Maanen, A Ridder
Pharmaceutical Statistics, Volume 14, Issue 2, Pages 151-160, March/April 2015
Links: Abstract | Paper+ | Slides
Speaker: Mouna Akacha (Novartis) Sensitivity analyses for partially observed recurrent event data Authors: Mouna Akacha and Emmanuel O. Ogundimu
Pharmaceutical Statistics, Volume 15, Issue 1, Pages 4-14, January/February 2016
Links: Abstract | Paper+ | Slides
+Papers available to view from 3rd March 2016 to 31st March 2016.
For a flier advertising the event, please click here.
For further information on future events, please visit the Journal Club homepage.
Our first event of the year was on the topic of Poisson/Negative Binomial Modelling and the different techniques for dealing with missing data. The event took place on March 10th, with speakers Richard Kay and Mouna Akacha presenting their work.
Chair: Oliver Keene (GSK)
Speaker: Richard Kay (RK Statistics) The analysis of incontinence episodes and other count data in patients with overactive bladder by Poisson and negative binomial regression Authors: R Martina, R Kay, R van Maanen, A Ridder
Pharmaceutical Statistics, Volume 14, Issue 2, Pages 151-160, March/April 2015
Links: Abstract | Paper+ | Slides
Speaker: Mouna Akacha (Novartis) Sensitivity analyses for partially observed recurrent event data Authors: Mouna Akacha and Emmanuel O. Ogundimu
Pharmaceutical Statistics, Volume 15, Issue 1, Pages 4-14, January/February 2016
Links: Abstract | Paper+ | Slides
+Papers available to view from 3rd March 2016 to 31st March 2016.
For a flier advertising the event, please click here.
For further information on future events, please visit the Journal Club homepage.
Our first event of the year was on the topic of Poisson/Negative Binomial Modelling and the different techniques for dealing with missing data. The event took place on March 10th, with speakers Richard Kay and Mouna Akacha presenting their work.
Chair: Oliver Keene (GSK)
Speaker: Richard Kay (RK Statistics) The analysis of incontinence episodes and other count data in patients with overactive bladder by Poisson and negative binomial regression Authors: R Martina, R Kay, R van Maanen, A Ridder
Pharmaceutical Statistics, Volume 14, Issue 2, Pages 151-160, March/April 2015
Links: Abstract | Paper+ | Slides
Speaker: Mouna Akacha (Novartis) Sensitivity analyses for partially observed recurrent event data Authors: Mouna Akacha and Emmanuel O. Ogundimu
Pharmaceutical Statistics, Volume 15, Issue 1, Pages 4-14, January/February 2016
Links: Abstract | Paper+ | Slides
+Papers available to view from 3rd March 2016 to 31st March 2016.
For a flier advertising the event, please click here.
For further information on future events, please visit the Journal Club homepage.
Our first event of the year was on the topic of Poisson/Negative Binomial Modelling and the different techniques for dealing with missing data. The event took place on March 10th, with speakers Richard Kay and Mouna Akacha presenting their work.
Chair: Oliver Keene (GSK)
Speaker: Richard Kay (RK Statistics) The analysis of incontinence episodes and other count data in patients with overactive bladder by Poisson and negative binomial regression Authors: R Martina, R Kay, R van Maanen, A Ridder
Pharmaceutical Statistics, Volume 14, Issue 2, Pages 151-160, March/April 2015
Links: Abstract | Paper+ | Slides
Speaker: Mouna Akacha (Novartis) Sensitivity analyses for partially observed recurrent event data Authors: Mouna Akacha and Emmanuel O. Ogundimu
Pharmaceutical Statistics, Volume 15, Issue 1, Pages 4-14, January/February 2016
Links: Abstract | Paper+ | Slides
+Papers available to view from 3rd March 2016 to 31st March 2016.
For a flier advertising the event, please click here.
For further information on future events, please visit the Journal Club homepage.
Our first event of the year was on the topic of Poisson/Negative Binomial Modelling and the different techniques for dealing with missing data. The event took place on March 10th, with speakers Richard Kay and Mouna Akacha presenting their work.
Chair: Oliver Keene (GSK)
Speaker: Richard Kay (RK Statistics) The analysis of incontinence episodes and other count data in patients with overactive bladder by Poisson and negative binomial regression Authors: R Martina, R Kay, R van Maanen, A Ridder
Pharmaceutical Statistics, Volume 14, Issue 2, Pages 151-160, March/April 2015
Links: Abstract | Paper+ | Slides
Speaker: Mouna Akacha (Novartis) Sensitivity analyses for partially observed recurrent event data Authors: Mouna Akacha and Emmanuel O. Ogundimu
Pharmaceutical Statistics, Volume 15, Issue 1, Pages 4-14, January/February 2016
Links: Abstract | Paper+ | Slides
+Papers available to view from 3rd March 2016 to 31st March 2016.
For a flier advertising the event, please click here.
For further information on future events, please visit the Journal Club homepage.
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.