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<p>Dear all,</p>
<p>On Thursday (22 November) at 2pm in <span class="event-where">54
/ 7035 (7B), we have an S3RI seminar from Andrew Titman
(Lancaster University) on </span><span class="event-where"><span
class="event-description">"</span></span><span
class="event-where"><span class="event-description"><span
class="event-description"><span class="event-description">Informative
observation in multi-state models</span></span>". Details
are given below.<br>
</span></span></p>
<p style="margin-bottom: 0cm; line-height: 100%"><span
class="event-where"><span class="event-description"><span><span
class="event-description">The seminar will also be
available via a live web-cast at</span></span></span></span><br>
</p>
<p style="margin-bottom: 0cm; line-height: 100%"><a class="moz-txt-link-freetext" href="https://coursecast.soton.ac.uk/Panopto/Pages/Viewer.aspx?id=58feb0fd-5471-4145-846e-a990010a25ec">https://coursecast.soton.ac.uk/Panopto/Pages/Viewer.aspx?id=58feb0fd-5471-4145-846e-a990010a25ec</a></p>
<p>
<style type="text/css">p { margin-bottom: 0.25cm; line-height: 120%;</style><span
class="event-where"><span class="event-description"><span><span
class="event-description">The talk will be followed by tea
and cake in the staff reading room on level 4 of building
54. </span></span></span></span> </p>
<p><span class="event-where"><span class="event-description"><span><span
class="event-description">All are welcome!</span></span></span></span></p>
<p><span class="event-where"><span class="event-description"><span>Best
wishes,</span></span></span></p>
<p><span class="event-where"><span class="event-description"><span>Helen</span></span></span></p>
<p><span class="event-description">Informative observation in
multi-state models <br>
</span></p>
<p><span class="event-description">Andrew Titman, Lancaster
University <br>
</span></p>
<p><span class="event-description">
Data on multi-state disease processes often arise through
intermittent observation of disease status at clinic visit
times. This leads to interval-censor<wbr>ed or panel-observed
data. Standard analyses for such data usually assume that the
examination times are non-informative of the disease process,
meaning they are ignorable. However if clinic visits are
potentially self-initiated and the disease is symptomatic, there
is a risk that attendances will arise because a patient's
condition has deteriorated leading to a form of selection bias.
The talk will give an overview of existing approaches for
dealing with informative observation times and the challenges to
be overcome. There are analogies and connections with methods
for missing data, but the methodology is less developed and
informative observation is more often an issue of excess, rather
than missing, observations. Focus will be given to methods for
diagnosing the presence of informative observation and joint
modelling approaches involving simultaneous modelling of the
disease and visit processes. The methods are illustrated on data
from post-heart transplantation patients.
</span></p>
<br>
<span class="event-where"><span class="event-description"><span><span
class="event-description"><span> <span
class="event-description"> </span><span
class="event-description"><span
class="event-description">For the current schedule of
S3RI seminars, see <a class="moz-txt-link-freetext"
href="https://tinyurl.com/s3riseminar">https://tinyurl.com/s3riseminar</a>
</span></span></span></span></span></span></span><br>
<p><span class="event-where"><span class="event-description"><span><span
class="event-description"></span></span></span></span></p>
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