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<p>Dear all,</p>
<p>On Thursday (15 November) at 2pm in <span class="event-where">54
/ 7035 (7B), we have an S3RI seminar from </span><span
class="event-where"><span class="event-description">Robin Mitra
(Lancaster University</span>) 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">Optimal
design when outcome values are not missing at random</span></span>".
Details are given below.<br>
</span></span></p>
<p><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>
<span class="event-description"><a class="moz-txt-link-freetext" href="https://coursec">https://coursec</a><wbr>ast.soton.ac.uk<wbr>/Panopto/Pages/<wbr>Viewer.aspx?id=<wbr>605696bf-6c2b-4<wbr>e4e-a8eb-a99000<wbr>ffa22a</span></p>
<p><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-details-label"></span><span
class="event-description">Optimal design when outcome values are
not missing at random <br>
</span></p>
<p><span class="event-description">
Robin Mitra, Lancaster University <br>
</span></p>
<p><span class="event-description">The presence of missing values
complicates analyses. In design of experiments, missing values
are particularly problematic when constructing optimal designs,
as it is not known which values are missing at the design stage.
When data are missing at random it is possible to incorporate
this information into the optimality criterion that is used to
find designs. However, when data are not missing at random this
framework can lead to inefficient designs. In this talk the
areas of missing data and optimal design are briefly reviewed.
Some of the specific challenges are then considered when finding
optimal designs for linear regression models with not missing at
random values present.</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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