I am pleased to announce details of this interesting
meeting, organized by the General Applications Section (GAS) of
the Royal Statistical Society (RSS).
Thank you
Julian Stander
GAS Secretary
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RSS GAS MEETING ON STATISTICAL ISSUES IN ORGAN TRANSPLANTATION
Wednesday 16th November, RSS Headquarters, Errol Street, 1400-1700
Meeting organiser: Dr Alan Kimber
Contact details: 0118 378 8030, [log in to unmask]
1400-1410
Introduction
Dave Collett (UK Transplant)
An introduction to the work of UK Transplant, the organisation that
coordinates the matching and allocation of organs for transplantation,
and an outline of some of the statistical applications in this field.
1410-1435
A new UK kidney allocation scheme
Rachel Johnson (UK Transplant)
There are currently over 5000 patients waiting for a kidney transplant in
the UK.
Unfortunately, this figure rises every year as there are too few organ
donors available to enable
these patients to receive the kidney transplant that would transform their
lives.
Decisions have to be made about who should receive the limited number of
organs that become available and these decisions are based on evidence
from
transplant survival analyses and the simulation results of various kidney
allocation algorithms.
These analyses have led to revisions of the national allocation scheme,
improving equity of access to kidney transplantation.
1435-1500
Comparing and monitoring transplant centres: an application of funnel
plots and CUSUM charts
Nokuthaba Sibanda (UK Transplant)
Continued monitoring of health outcomes promotes improvement in the
delivery of healthcare,
thus benefiting the patient and the health service as a whole.
This presentation illustrates the UK Transplant experience in the
application of funnels plots and
CUSUM charts in comparing kidney transplant centres and for the ongoing
monitoring of graft failure and mortality rates.
1500-1535 Tea
1535-1600
Analysis of the potential for organ donation
Claire Hamilton (UK Transplant)
The aim was to determine the potential for solid organ donation in the UK
and discover reasons why potential donors
did not become actual donors. The reasons why relatives refused consent
for donation were investigated,
and the relative refusal rate was analysed in detail to look for
variability in the rate across the country,
over time and for various patient demographics.
1600-1625
Time-dependent effects in Cox survival models of kidney transplants
Jane Hinton (DEFRA)
Within standard survival models it is often assumed that proportional
hazards apply over the survival period.
However, it may be reasonable to expect the impact of explanatory
variables to change
over the time period between the origin and the event.
Here, three approaches (linear, piecewise and exponential) to
incorporating such time-dependent effects into
Cox survival models were employed for the analysis of 11,712 UK adult
cadaveric kidney-only
transplants taking place between 1990 and 1999.
1625-1650
A correlated frailty model applied to some corneal transplant survival data
Alan Kimber (University of Reading)
A correlated frailty model will be discussed and applied to a small
bivariate dataset.
The data are the times to graft rejection of bilateral corneal grafts for
n=119 patients at the Labafinejad Hospital in Iran.
1650-1700
Close of meeting
All timings are approximate
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