Dear AllStat members,
I wish to bring to your attention a workshop funded by the MRC North West Hub for Trials Methodology Research. See below for further information about the workshop and draft programme. Please could you also circulate this workshop advertisement to your researcher colleagues? This workshop is free of charge, but the number of participants is limited, therefore places are allocated on first come, first served basis.
Thanks
Ruwanthi Kolamunnage-Dona.
###############################################################################
Joint modelling of longitudinal and event time data in clinical research
Date and venue: 13 September 2012, 10.30 am – 3.30pm, Foresight Centre, University of Liverpool, UK
This one-day training workshop is hosted as part of the JoineR project, aiming to bring modern methods of statistical analysis into mainstream medical research, and funded by the MRC NWHTMR.
In many clinical trials with longitudinal outcome data, a common situation is where some patients withdraw or dropout from the trial before completing the measurement schedule but the dropout may be non-ignorable or informative. In such cases, the longitudinal outcome data alone may not reflect a genuine change over time, it may be an artefact caused by selective dropout which could result in a biased comparison between the treatment groups. Another common situation in longitudinal studies is to collect patients’ outcome data over time until a key clinical event, for example, in HIV research in which a biomarker such as CD4 count is determined intermittently and its relationship with time to AIDS onset is of interest. “Joint modelling” is a novel statistical methodology that combines the information from the longitudinal outcome data and the subsequent dropout pattern/time to event.
Outline:
10.00 – Registration and coffee
10.30 – 12.30: Expository lectures
12.30 – 1.30: Lunch
1.30 – 3.30: JoineR software training session (limited to 20 participants)
Speakers/Instructors: Prof Peter Diggle, Prof Paula Williamson, Dr Pete Philipson, Dr Ruwanthi Kolamunnage-Dona
Audience: The workshop is relevant to clinical researchers, applied statisticians and other data analysts faced with the need to deal with non-ignorable missingness in clinical trials with longitudinal outcome data or to analyse longitudinal and time to event outcomes together.
Registration: Free, but places must be reserved in advance. To reserve a place, please email [log in to unmask] indicating if you would like to register for the morning lectures, afternoon software training session or both.
You may leave the list at any time by sending the command
SIGNOFF allstat
to [log in to unmask], leaving the subject line blank.
|